Journal of Boredom
Studies (ISSN 2990-2525)
Issue 2, 2024, pp. 1–20
https://doi.org/10.5281/zenodo.13919707
https://www.boredomsociety.com/jbs
Role of Context in
Daily Boredom Experiences During the COVID-19 Pandemic: A Daily Diary Study
Sumana Sri
Claremont Graduate
University
https://orcid.org/0009-0000-0806-2474
How to cite this paper: Sri, S. (2024). Role of Context in Daily Boredom
Experiences During the COVID-19 Pandemic: A Daily Diary Study. Journal
of Boredom Studies, 2.
https://doi.org/10.5281/zenodo.13919707
Abstract: Boredom is typically an experience from which most people
want to escape. However, what happens when external constraints are placed on
people’s lives such as living through a pandemic and having to follow lockdown
protocols? How does this affect their boredom experiences? In this 7-day daily
diary study with 289 adults from the United States, we empirically tested how
the changes in people’s daily lives brought on by the COVID-19 pandemic,
specifically, the amount of time they spent at home and the amount of time they
spent alone, influenced the level of boredom they experienced on a given day.
We also tested how the changes in people’s daily meaning in life, which had
also been impacted by the pandemic, influenced people’s daily boredom
experiences. Results from multilevel modeling showed that on days when people
spent more time alone and experienced lower daily meaning in life, they
experienced higher levels of boredom. However, the amount of time spent at home
did not predict daily boredom. This study contributes to boredom literature by
highlighting the impact that contextual factors have on people’s boredom
experiences. Typically, psychological research on boredom has focused on the
characteristics of a specific activity that people are engaged in, or by their
dispositional propensity to feeling bored. Understanding the role of people’s
contexts can help us devise nuanced and effective boredom coping interventions.
Keywords: boredom, COVID-19, daily meaning in life, daily diary, social contexts.
Boredom is a frequent,
and almost daily experience in many people’s lives (Chin
et al., 2017; Finkielsztein, 2023; Misztal, 2016). It gained much attention from scholars and
popular media during the COVID-19 pandemic lockdown as many people expressed
feeling bored more frequently during this time (Ballew et al., 2020; Irawan et al., 2020; Jackson et al., 2021). About 67% of Americans said they felt bored in the initial days of
the pandemic, and 21% of them said they felt very bored (Ballew et al., 2020).
This was alarming considering the negative effect that
boredom has on mood (Brent and Birmaher, 2002;
Patterson and Pegg, 1999), productivity (e.g., Cleary et
al., 2016), and mental health (e.g., Spaeth
et al., 2015). For instance, longitudinal
studies have found that chronic boredom experiences amplify depressive symptoms
of loneliness and hopelessness (e.g., Spaeth et al., 2015) and are associated with developing depression, anxiety, and suicidal
tendencies (Brent and Birmaher, 2002; Patterson and Pegg, 1999). People are also twice as likely to abuse
alcohol, marijuana, and cigarettes (Iso-Ahola and Crowley, 1991; Sharp et al., 2011), and
engage in risky behaviors such as unsafe sexual activities, rash driving (Kılıç
et al., 2020; Layland et al., 2021; Miller et al., 2014), and binge eating (Jackson et al.,
2021; Laghi et al., 2015) when
bored.
Most research on boredom has either focused on trait
boredom (boredom proneness) or on momentary episodes of boredom experienced
within a specific activity. Studies on boredom proneness have focused on
answering questions about who is more prone to feeling bored (Farmer and Sundberg,
1986; Hamilton, 1983), and is
more at risk of experiencing the negative consequences of boredom (Mikulas and
Vodanovich, 1993; Petry, 2001;
Vodanovich and Watt, 2016). Studies on state boredom have
focused on what characteristics of an activity make people feel bored
(Csikszentmihalyi, 1975; Pekrun et al., 2010; Westgate and Wilson, 2018) and what cognitive, emotional, and
motivational experiences people have when they are bored (Eastwood et al., 2012; Fahlman et al., 2013; Harris,
2000).
However, just like other emotions, people’s boredom
experiences vary daily based on the physical and social contexts they are a
part of on a given day (Chin et al., 2017; Eaton and
Funder, 2001; Larson et al., 2002). For example, though students typically feel bored when they perceive
their math class is not challenging or meaningful enough to them (Nett et al., 2011), and some students are more prone to feeling bored than others (Pekrun
et al., 2014), the level of boredom that these
students feel during each math class can vary across the week (Nett et al., 2011). A few experience sampling studies show that on days when people spend
more time alone, they are more likely to feel bored (Chin et al., 2017; Larson and Richards, 1991), or when they spend a prolonged
period of time in the same physical space (Behan, 2014;
Bengtsson, 2012; Britt et al., 2017; Collins, 2003; Garner, 2020). Studying the role of such contextual factors helps us create better
boredom coping strategies and enhance current approaches to mitigating boredom.
However, the literature on the influence of such social and physical contextual
factors on daily boredom is limited.
The COVID-19 pandemic offered a unique opportunity for
boredom researchers to study the influence of contextual factors on people’s
daily boredom experiences, as people’s daily lives were changed by the lockdown
protocols. People were now required to spend more time at home and physically
distance from other people. Given that people’s boredom experiences had
increased during the pandemic (Ballew et al., 2020), it
warranted testing whether these changes to their daily life were influencing
the changes in their boredom experiences.
Additionally, the changes to daily life prompted many
people to question their meaning in life during the pandemic (Ekwonye et al., 2021). Researchers found that people’s daily meaning in life varied during
this time (Trzebiński et al., 2020) and
people who viewed their life as being purposeful, valuable, and significant,
also felt more hopeful and less anxious about the pandemic (Hill et al., 2022).
Boredom researchers have increasingly been interested in
understanding the relationship between boredom and meaning (Finkielsztein, 2023). Some scholars describe boredom as an
experience of lack of meaning (Barbalet, 1999;
Elpidorou, 2018; Westgate and Wilson, 2018) and that the function of boredom is to signal
an individual to seek more meaning (Elpidorou, 2022). People
do feel bored when they perceive the task they are engaged in has little value
or significance to them (Van Tilburg and Igou, 2012;
Westgate and Wilson, 2018), or when they feel their life in
general has no meaning and purpose (Barbalet, 1999;
Ohlmeier et al., 2020). Though many researchers have
studied the role of task value and meaning on boredom (e.g., Pekrun et al., 2010; Van Tilburg and Igou, 2012), the relationship between daily meaning in
life and boredom remains relatively less explored. The pandemic therefore also
provided an opportunity for boredom researchers to empirically test whether
people’s daily meaning in life influences how bored they feel, and whether it
can serve as a protective factor that can help reduce boredom.
The goal of the current study was to test whether
people’s daily physical and social contexts, and their level of daily meaning
in life, influence their daily boredom experiences. Specifically, this study
tested whether spending more time at home, spending more time alone, and
experiencing lower levels of daily meaning in life were associated with higher
levels of daily boredom. The daily diary method was used to capture greater
intra-individual variability as people’s contexts and boredom experiences change
from day to day. Before describing the details of this study, let us understand
how boredom is defined and examine relevant literature.
1.1. Defining Boredom
Our understanding of
what boredom is has evolved over time. The word boredom first appeared in
Charles Dickens’ book Bleak House in
1852, but the exact etymology of the word is unclear. Some scholars believe
that boredom is a relatively new term, one that emerged in the 18th
century after the advent of the Industrial Revolution. However, the experience
of boredom is not new. The ancient Greeks captured this feeling as acedia, which is close to Latin’s tedium, and the French ennui. Historians reveal that Pyrrhus,
the Greek General, was bored during his retirement, and that the graffiti found
on the walls in ancient Rome reflects bored adolescents (McRobbie, 2012). While philosophers like Plato and Aquinas
lauded the monotony and uniformity of life because they serve as a moral
constancy to man (Kuhn, 1976), other philosophers, such as
Kierkegaard and Sartre shared a disdain for boredom as they believed it was
“the root of all evil” and the “leprosy of the soul” (Martin
et al., 2006, p. 195).
Today, people use the word boredom to describe the
unpleasant feeling they have when they have nothing to do, are doing something
repetitive, unstimulating or uninteresting, or when they are unable to do what
they want (Goldberg et al., 2011). In psychological research,
we define boredom either in terms of the immediate affective, cognitive, and
motivational experience of being bored (Eastwood et al., 2012; Fahlman et al., 2013;
Merrifield and Danckert, 2014), or the conditions that give rise
to a state of boredom (Csikszentmihalyi, 1975; Pekrun
et al., 2014; Westgate and Wilson, 2018).
As an experience, boredom is a high and low arousal
negative affect (Mikulas and Vodanovich, 1993) that is
accompanied by cognitive challenges such as inattention and perceiving time as
passing slowly, and motivational challenges wherein a person wants to escape
from the situation or is unable to continue to be engaged with the activity
(Eastwood et al., 2012; Fahlman et al., 2013). In fact, the experience of boredom is often so intolerable that
people would rather electrically shock themselves (Havermans et al., 2015; Nederkoorn et al., 2016; Weingarten et al., 2016; Yusoufzai et al., 2022) and view repulsive pictures than continue to
be bored (Bench and Lench, 2019).
The conditions that give rise to boredom can be
classified into two categories: a) suboptimal level of challenge and b) a lack
of meaning. According to flow theory, people feel bored when an activity does
not provide adequate challenges that engage their skills in an enjoyable way
(Csikszentmihalyi, 1975). Boredom is placed on the lower
end of the challenge-skill continuum. If this lack of challenge motivates a
person to seek higher challenges that are demanding of their skills, they can
move away from a state of boredom and enter the enjoyable state of flow
(Csikszentmihalyi, 1975, 1990). However, research shows that people feel
bored in high challenge situations as well (Acee et al., 2010; Westgate and Wilson, 2018).
According to the Meaning and Attentional Components (MAC)
model of boredom (Westgate and Wilson, 2018), even
if a person’s attention is successfully engaged with an activity, if the
activity is not personally significant to them, they feel bored. The functional
theorists of boredom believe the purpose of boredom is to signal us whenever we
are engaged in meaningless activities so that we may either try to find meaning
in what we are doing or do something else that is more meaningful to us (Bench and
Lench, 2019; Elpidorou, 2018). In this study, we viewed daily boredom as a
multidimensional experience that is characterized by feelings of disengagement,
negative affect, inattention, and time distortion (Fahlman et al., 2013).
1.2. Role of Physical
Context in Boredom Experiences
While boredom is often
seen in relation to what people were doing, the context in which they are doing
these activities (or not doing anything), also influences the extent to which
they feel bored. For instance, people are more likely to be bored when they are
in school, work, medical facilities, or at the airport (Chin et al., 2017). People are typically required to stay in these spaces for long
periods of time and spending prolonged periods of time in the same physical
space can be boring (Britt et al., 2017).
Being confined to the same space with very little
opportunities to leave can be even more boring. Astronauts have been found to
experience high levels of boredom during space missions (Britt et al., 2017; Collins, 2003), so much so that active counter
measures are now being researched as part of planning for space missions (Gatti
et al., 2022; Laws et al., 2022). Incarcerated people also describe boredom as a very difficult part of
prison life (Rocheleau, 2013). For example, juvenile delinquents
in Denmark and prisoners in Australia reported they felt bored very often and
constantly craved for something to change in their routine (Bengtsson, 2012; Garner, 2020). The
monotony of being confined to the same space, and the lack of autonomy and
mobility to pursue alternate activities or spaces, contribute to higher levels
of boredom (Behan, 2014; Bengtsson, 2012; Britt et al., 2017;
Collins, 2003; Garner, 2020).
The COVID-19 pandemic restricted people’s access to
public spaces and the stay-at-home orders required people to spend more time at
home. The increased amount of time that people had to spend in the same
physical space due to the stay-at-home orders could have contributed to the
increase in people’s daily experiences of boredom during the pandemic.
Therefore, the first hypothesis of this study was that on days when people
spent more time at home, they would experience higher levels of boredom.
1.3. Role of Social
Context in Boredom Experiences
In addition to being
confined to the same space, not having anyone to interact with can also be
boring. People are 42% more likely to feel bored when they are alone than when
they are with others (Chin et al., 2017), and often find it difficult to
spend even 6 to 15 minutes by themselves without feeling bored (Wilson et al., 2014).
Although spending time alone is a natural part of
people’s daily life, people typically experience daily solitude as loneliness
(Larson, 1990), especially if they live alone
(Long et al., 2003). Loneliness was a common
experience during the pandemic (Ballew et al., 2020;
McKenna-Plumley et al., 2021), as people were asked to socially
distance and minimize the amount of time they spent with other people. Healthy
adults in the United Kingdom who were interviewed in April 2020, said they felt
lonelier during the lockdown, as their routine of seeing other people was
disrupted. They also said they felt “quite isolated because it’s not the same
[as interacting] on a phone call or on a video chat” (McKenna-Plumley et al., 2021, p. 7). They also felt “very weird” to not have “any physical contact
with other people and it’s just not really normal to not touch anyone”
(McKenna-Plumley et al., 2021, p. 8).
When alone, people experience role confusion, that is,
they perceive they have no social role to play as they are not in a social
situation with well-defined roles for each social actor (Darden and Marks, 1999). People say they feel bored when they have nothing to do or when they
are alone “because [they] do not know what to do” with themselves (Darden and
Marks, 1999, p. 26). Having to spend more time
alone during the pandemic due to the social distancing protocols could have
contributed to higher levels of boredom. Therefore, the second hypothesis of
this study was that on days when people spent more time alone, they would
experience higher levels of boredom.
1.4. Role of Daily
Meaning in Life in Boredom Experiences
In addition to physical
and social contexts, people’s perceptions or evaluations of their life such as
how meaningful they feel their life is on a given day provides an experiential
context or lens through which they evaluate the meaningfulness of the activities
they did on that day (Machell et al., 2015; Newman
et al., 2018). On days when people experience
lower levels of meaning in life, they also experience more negative affect and
perceive the activities they are engaged in to be mundane and insignificant (Machell
et al., 2015; Newman et al., 2018). People who spend more time searching for meaning and experience very
low presence of meaning, are more likely to ruminate about their past and have
a fatalistic view of the present (Krok, 2018; Steger
et al., 2008). Such cognitive and emotional
challenges of searching for meaning in life may contribute to increased boredom
as people find it difficult to concentrate and engage with their environment
when they feel fatigued and mentally exhausted (Dora et al., 2021; Eastwood et al., 2012; Raffaelli et al., 2018).
During the pandemic, many people found it challenging to
view their lives as being meaningful as the lockdown measures considerably
changed the structure of their daily lives and limited their access to valuable
activities and relationships (Ekwonye et al., 2021; Hill et al., 2022).
Experiencing lower levels of daily meaning during the pandemic may have
contributed to higher levels of daily boredom. Hence, the third hypothesis of
this study was that on days when people experienced lower levels of daily
meaning in life, they would experience higher levels of boredom.
1.5. The Current Study
The goal of this study
was to understand how the changes in people’s daily contexts brought on by the
COVID-19 pandemic would relate to their daily boredom experiences.
Specifically, it aimed to study whether spending more time at home, spending
more time alone, and the level of daily meaning in life would influence
people’s daily boredom experiences over and above the relatively stable
characteristics of their lives such as trait boredom levels, age, gender, and
living alone (since before the pandemic). The following three hypotheses were
tested in this study: 1) On days when people spend more time at home, they will
experience higher levels of boredom. 2) On days when people spend more time
alone, they will experience higher levels of boredom. 3) On days when people
experience lower levels of meaning, they will experience higher levels of
boredom.
2. Method
The data for this study
was drawn from a larger study on the daily experiences of people during the
COVID-19 lockdown. This study was approved by the university Institutional
Review Board. After obtaining informed consent, 648 participants responded to an
intake survey on Amzon’s Mechanical Turk. Those who were less than 18 years of
age or those who failed an English proficiency test were excluded. Participants
who reported experiencing COVID-19 related symptoms or were caring for someone
who was experiencing symptoms were also excluded, as this study intended to
investigate the impact of the COVID-19 lockdown on daily experiences and not
the effects of the COVID-19 disease itself. A total of 475 individuals were
invited to participate in the diary study for seven consecutive days, of which
300 individuals completed daily diary surveys on at least five out of seven
days. Each day participants were asked to respond to questions about their
daily emotional and social experiences. At the end of the week, they were asked
to complete an end of study survey that consisted of trait measures.
Participants who did not complete the end of study survey (n = 5) and
participants who failed at least one of the two attention checks that were
embedded in this survey (n = 6) were excluded from the final sample.
A final sample of 289 adults from the United States, ages
19 to 75 years (Mage = 40.93, SD = 13.29, 59.5%
female) completed a 7-day daily diary study. Seventy percent of the sample had
a college degree or higher. Participants provided a total of 1,992 diary
surveys. Individuals were included if they completed at least five valid diary
surveys (i.e., responded to the survey between 5:30pm and 12:30am each day),
and completed the end of study survey. On average, each participant in the
sample provided 6 diary surveys (SD = .35). At the time of data
collection, 93% of the sample reported they were under stay-at-home orders and
had been on lockdown for an average of 24 days (SD = 7.68). Forty-eight
percent of participants said the COVID-19 protocols had required them to work
from home. Participants received a maximum compensation of $10.70 ($0.20 for
the intake survey, $1 for each of the seven diary surveys, $2 for the end of study
survey, a bonus of $0.50 on the third day and a bonus of $1 on the seventh day
of the diary surveys).
2.1. Measures
2.1.1. Daily Measures
Daily Boredom. The
short version of the Multidimensional State Boredom Scale (MSBS-15; Baratta and
Spence, 2015) was used to measure the daily
intensity of boredom. This scale is designed to assess how bored a person feels
in the moment. The items were adapted to measure how bored participants felt
each day. The scale consists of 15 items and 5 subscales that measure
disengagement (e.g., “I feel like I’m sitting around waiting for something to
happen”), inattention (e.g., “It is difficult to focus my attention”), time
perception (e.g., “Time is moving very slowly”), high arousal (e.g., “I feel
agitated”), and low arousal (e.g., “I feel empty”). Items were completed using
a 7-point scale (1 = strongly disagree, 7 = strongly agree).
Higher scores on the scale indicate higher levels of boredom. This scale has
been found to have high internal consistency (Cronbach’s α = 0.96, Fahlman et
al., 2011). Participants also reported how frequently they were bored on a
given day using a 5-point scale (1 = not at all, 5 = for most of the
day).
Time at Home. Participants
were asked to indicate how much time they spent at home on a given day, using a
7-point scale (1 = none, 7 = all of the time).
Time Alone. Participants
were asked to indicate how much time they spent alone on a given day, using a
7-point scale (1 = none, 7 = all of the time).
Daily Meaning in Life.
Daily meaning in life was measured using four items that have been used in
previous diary studies (Kashdan and Steger, 2007; Newman
et al., 2018). Daily presence of meaning was
assessed using the items “How meaningful did you feel your life was today?” and
“How much did you feel your life had purpose today?” Daily search for meaning
included the items “How much were you searching for meaning in your life
today?” and “How much were you looking to find your life’s purpose today?”
Participants responded to each item using a 7-point scale (1 = not at all,
7 = very much). Responses to each of the items were aggregated to create
a single composite score that indicated the level of daily meaning in life.
2.1.2. Person-level
Measures
Boredom Proneness. This
was included as a control variable and was measured using the Boredom Proneness
Scale (BPS; Vodanovich and Kass, 1990). This
scale assesses the extent to which an individual is prone or susceptible to
experiencing boredom (Farmer and Sundberg, 1986). This
version of the scale consists of 28 items (e.g., “I am often trapped in
situations where I have to do meaningless things” and “Many things I have to do
are repetitive and monotonous”) which participants respond to on a 7-point
scale (1 = strongly disagree, 7 = strongly agree). Higher scores
indicate higher boredom proneness. The BPS has been shown to have high internal
consistency, with Cronbach’s alpha values ranging from .79 to .84 (Vodanovich and
Watt, 2016).
2.2. Analysis Plan
Multilevel modeling
(MLM) that modeled days (level 1) nested within individuals (level 2) was used
with maximum likelihood estimation on IBM SPSS 25 to test whether spending time
at home, spending time alone, and daily meaning in life predicted daily levels
of boredom, while controlling for boredom proneness, age, gender, and whether
the participant was living alone during the lockdown. Day-level predictors were
group mean centered and person-level control variables were grand mean
centered. A null model was tested with daily boredom. The intraclass
correlation (ICC) was calculated to assess the proportion of between-person and
within-person variance in the level of daily boredom experiences. The analysis
showed that 56.7% of the variance in boredom experiences was due to
between-individual differences, warranting the use of multilevel analysis. As
the overall goal of this study was to understand how the changes brought on by
the COVID-19 pandemic contributed to people’s daily boredom experiences,
predictors were sequentially added into the model to test their combined
effects on daily boredom (Nezlek, 2008). Three
subsequent models were run with fixed effects of each of the three day-level
predictors being sequentially added. All of the person-level control variables
were included in each model. Model comparisons were made to estimate the best
fitting model (Table 3).
3. Results
3.1. Descriptive
Analysis
Prior to the analysis,
all variables were examined for normality and assumptions underlying multilevel
analysis. The means, standard deviations, and correlations of all study
variables (Table 1 and Table 2) were calculated. All study variables were
normally distributed.
Overall,
37% of participants experienced boredom on any given day and 80% were bored at
least once during the week. Participants reported experiencing low to moderate
levels of daily boredom during the study period (M = 2.36, SD =
1.36). Participants also reported spending a considerable amount of time at
home (M = 6.09, SD = 1.36) during the study period. On a given
day, 55% of them said they were “always” at home. Forty-eight percent of the
participants also reported they had been working from home due to the COVID-19
protocols. On a given day, 76% of participants said they spent at least some
time alone and 12% said they were “always” alone.
|
Measure |
M (SD)/% |
ICC |
|
Day Level |
|
|
|
Daily boredom [1-7] |
2.36 (1.36) |
.56 |
|
Time spent at home [1-7] |
6.09 (1.36) |
.41 |
|
Time spent alone [1-7] |
3.45 (2.09) |
.68 |
|
Daily meaning [1-7] |
3.82 (1.35) |
.69 |
|
Person Level |
|
|
|
Boredom proneness [1-7] |
3.30 (.81) |
- |
|
Age |
40.93 (13.29) |
- |
|
Gender (female) |
59.3% |
- |
|
Live alone (yes) |
14.2% |
- |
Table 1. Descriptive Statistics for Study
Variables
Note. N = 289 (day level n
= 1,992).
Table 2.
Correlation Matrix of Day Level Study Variables
|
Variable |
1 |
2 |
3 |
4 |
|
Daily boredom |
1 |
|
|
|
|
Time spent at home |
-.062** |
1 |
|
|
|
Time spent alone |
.150** |
.158** |
1 |
|
|
Daily meaning |
-.310** |
-.039 |
-.112** |
1 |
** p < .01.
3.2 Fixed Effects of
Time Spent at Home, Time Spent Alone, and Daily Meaning in Life
Three models using
multilevel modeling were run using daily boredom as the outcome variable.
Standardized and unstandardized estimates of fixed effects are presented in
Table 3. The first model tested the fixed effects of the amount of time spent
at home on daily boredom, while controlling for boredom proneness, age, gender,
and living alone. The fixed linear effect for time spent at home (β = .05, p <
.01), was found to be significant.
The
addition of time spent at home in the second model significantly improved the
model compared to the first, Δ-2LL
(1) = 46.32, p < .001. In this
model, only the fixed linear effects for time spent alone (β = .17, p < .001) were significant, and time
spent at home no longer significantly predicted daily boredom.
In
the third model, which was the best fitting model (Δ-2LL (1) = 231.16, p <
.001), daily meaning was added. The fixed linear effects for time spent alone
(β = .15, p < .001) and daily
meaning (β = -.42, p < .001) were
significant while time spent at home was not significantly associated with
daily boredom.
Results
from this model comparison indicate that there was no significant increase in
the level of boredom people experienced on days when people spent one standard
unit more time at home, compared to the days when they spent an average amount
of time at home. However, on days when people spent one standard unit more time
alone, their boredom levels increased by .15, compared to days when they spent
an average amount of time alone. Also, on days when people perceived having one
standard unit higher level of daily meaning, their boredom levels decreased by
.42, compared to days when they perceived having an average level of daily
meaning in life.
Therefore,
the first hypothesis that on days when people spend more time at home, they
will experience higher levels of boredom was not supported by this data. But,
the second hypothesis that on days when people spend more time alone, they
would experience higher levels of boredom was supported, as was the third
hypothesis that on days when people experience lower levels of daily meaning in
life, they will experience higher levels of boredom.
Table 3. Multilevel Regression Results of Daily
Boredom Experiences during the COVID-19 Pandemic
|
Variable |
B |
95% CI for B |
SE B |
β |
-2LL |
∆-2LL |
|
|
|
|
LL |
UL |
|
|
|
|
|
Model 1 |
|
|
|
|
|
5775.81 |
- |
|
Intercept |
1.86*** |
1.34 |
2.39 |
.26 |
|
|
|
|
Time
spent at home |
.05** |
.01 |
.09 |
.01 |
.05** |
|
|
|
Boredom
proneness |
.787*** |
.66 |
.91 |
.06 |
.46*** |
|
|
|
Age |
-.002 |
-.01 |
.006 |
.004 |
|
|
|
|
Gender |
.147 |
-.05 |
.34 |
.10 |
|
|
|
|
Live
alone |
.285* |
.001 |
.56 |
.14 |
|
|
|
|
Model 2 |
|
|
|
|
|
5729.48 |
46.324*** |
|
Intercept |
1.64*** |
1.12 |
2.16 |
.26 |
|
|
|
|
Time
spent at home |
.01 |
-.02 |
.05 |
.02 |
.01 |
|
|
|
Time
spent alone |
.11*** |
.08 |
.14 |
.01 |
.17*** |
|
|
|
Boredom
proneness |
.77*** |
.64 |
.89 |
.06 |
.45*** |
|
|
|
Age |
-.001 |
-.009 |
.007 |
.004 |
|
|
|
|
Gender |
.184 |
-.01 |
.38 |
.10 |
|
|
|
|
Live
alone |
-.024 |
-.31 |
.27 |
.15 |
|
|
|
|
Model 3 |
|
|
|
|
|
5498.32 |
231.164*** |
|
Intercept |
1.72*** |
1.20 |
2.23 |
.26 |
|
|
|
|
Time
spent at home |
.01 |
-.02 |
.04 |
.02 |
.01 |
|
|
|
Time
spent alone |
.10*** |
.07 |
.13 |
.01 |
.15*** |
|
|
|
Daily
meaning |
-.42*** |
-.47 |
-.37 |
.02 |
-.42*** |
|
|
|
Boredom
proneness |
.77*** |
.64 |
.90 |
.06 |
.45*** |
|
|
|
Age |
-.001 |
.009 |
.007 |
.004 |
|
|
|
|
Gender |
.182 |
-.01 |
.38 |
.10 |
|
|
|
|
Live
alone |
.006 |
-.28 |
.29 |
.14 |
|
|
|
Note. CI = confidence interval; LL = lower limit; UL = upper
limit; SE = standard error.
* p < .05; ** p < .01; *** p < .001.
4. Discussion
The goal of this study
was to empirically test how the changes to people’s daily physical, social, and
experiential contexts brought on by the COVID-19 pandemic were associated with
their daily boredom experiences. This 7-day daily diary study on American
adults during the early days of the pandemic lockdown revealed that spending
more time alone and experiencing lower levels of meaning in life contributed to
higher levels of daily boredom, while spending more time at home did not.
The finding that people feel more bored on days when they
spend more time alone and perceive having lower meaning in life, is consistent
with previous literature. People are more likely to be bored in contexts where
they are alone or are around strangers (Chin et al., 2017; Cohen-Mansfield et al., 2016; Spaeth et al., 2015). During the COVID-19 pandemic,
people were required to socially distance themselves; spending more time alone
seems to have contributed to the higher levels of boredom they experienced
during this time.
Moreover, many people were prompted to reevaluate their
meaning in life during the pandemic (Ekwonye et al., 2021; Hill et al., 2022). The high mortality rates and the
significant changes to people’s daily activities may have motivated them to
think about the value and purpose of their everyday activities (Trzebiński et al.,
2020) and influenced their daily
boredom. Research shows that people feel more bored when they perceive their
lives are not purposeful (Barbalet, 1999) and
when the activities they are engaged in are of little value and significance to
them (Westgate and Wilson, 2018).
The fact that on days when people experienced higher
levels of meaning in life, their boredom levels were lower, indicates that
daily meaning in life may serve as a buffer from boredom. Indeed, focusing on
increasing one’s feelings of value and purpose in life might be an effective
boredom coping strategy (Westgate, 2020).
It was surprising that in this study, spending more time
at home was not significantly associated with higher levels of boredom
experienced on a given day. Previous research shows that people feel more bored
when they spend a prolonged amount of time in the same space (Behan, 2014; Bengtsson, 2012; Britt et al., 2017; Collins, 2003; Garner, 2020).
One explanation might be that people were experiencing
other negative emotions more strongly than they were experiencing boredom.
Studies showed that experiences of anxiety increased by 35% among American
adults during the pandemic (Delpino et al., 2022).
However, during the initial days of the pandemic, people’s levels of anxiety,
fear, and boredom were found to be comparable as 21% of Americans said they
felt very anxious, 20% said they felt very scared, and 21% said they felt very
bored (Ballew et al., 2020). Another explanation for this
finding may be that, although people were spending more time at home, doing so
might have been a novel, and even welcome, experience rather than a monotonous
one during the early days of the pandemic. While working from home during the
pandemic was challenging, many adults also found it to be advantageous, as it
improved their work-life balance, cut down their time spent commuting, and gave
them an opportunity to spend more time with their family (Ipsen et al., 2021; Irawan et al., 2020). A study on time-use during the
initial days of the pandemic found that people reported spending more time on
their hobbies, housework, sleeping, and physical exercise (Zhang, 2021).
Many people also began to engage with social media a lot
more and participated in many cooking and dance trends. Over 315 million people
began using TikTok in March 2020 alone, and 65% of TikTok videos showcased new
hobbies, pandemic humor, virtual learning, home fitness, and new recipes that
people were indulging in (Unni and Weinstein, 2021). Being
able to participate in activities that are otherwise difficult to find time
for, and the advantages of working from home, may have buffered people from
experiencing higher levels of boredom.
However, research conducted a few months after the
pandemic lockdown was initiated showed that people were using more passive and
maladaptive ways of coping with boredom such as overeating, drinking and
browsing the web (Jackson et al., 2021; Liang
et al., 2020; Van Tilburg et al., 2022). Also, in the initial days of the lockdown,
people reported feeling more hopeful and believed the pandemic would end soon
(Ballew et al., 2020), but when the lockdown persisted,
feelings of hopelessness increased (Tao et al., 2022).
The results from this study indicate that perhaps it was
the loss of sense of connection that people felt, either with other people or
the larger world, that made them feel bored during the pandemic, but not the
unique effect of the physical constraint of having to spend prolonged periods
of time in the same physical space. As previous research shows, people tend to
develop chronic boredom when their life circumstances keep them from pursuing
personal goals and projects. They feel emotionally torn and forced when they
have to pursue alternate goals and experience a lack of meaning in life, which
ultimately can make them feel “stuck in a chronic state of boredom” (Bargdill, 2000, p. 201). These findings demonstrate that
people’s feelings of boredom are not just influenced by the characteristics of
an activity or dispositional tendencies, but also by the contexts in which
people are embedded. Moreover, it shows that how people interact and perceive
their environments influences their boredom experiences. Hence, research on
boredom must take into consideration the role of contextual factors in people’s
daily boredom experiences.
5. Limitations and
Future Directions
One limitation of this
study was that it did not test the role of socioeconomic status. The pandemic
impacted people from different socioeconomic statuses in different ways
(Khanijahani et al., 2021). It was more difficult for people
from lower socioeconomic groups to practice social distancing as they were more
likely to live in crowded neighborhoods and have unstable job conditions. They
were also more likely to be employed in jobs (e.g., in supermarkets,
warehouses, public transport) that required them to continue working in person
(Patel et al., 2020). Their daily lives and amount of
time spent at home and alone would have been different from the participants in
our study as 48% of our sample reported working from home during the pandemic.
Also, 70% of the sample had a college degree or higher, indicating they may
have been from higher socioeconomic groups.
Also, research shows that people’s living conditions and
the resources available in their physical surrounding play a role in the level
of boredom they experience (Chin et al., 2017;
Musharbash, 2007; Ohlmeier et al., 2020; Shaw et al., 1996). For instance,
people living in rural areas report 5% higher levels of boredom than those
living in urban and suburban areas (Martz et al., 2018) and
people who have access to engage in a variety of activities are less likely to
be bored (Shaw et al., 1996). Future research must take into
consideration the role of socioeconomic status when understanding how physical
and social contexts influence people’s boredom experiences.
Another limitation of this study was that it did not
capture how people were spending their time at home. It was not possible to
know whether people were in fact engaging in new hobbies and activities during
this time and whether doing so buffered against feeling bored. Because many
scholars believe that boredom has the potential to motivate people to seek out
meaningful activities, future research can focus on what contextual factors and
resources scaffold the process of seeking meaning when bored. Additionally,
future research can also test whether coping with boredom by seeking more
meaning and social connections on one day will reduce the level of boredom
experienced the next day.
6. Conclusion
This study empirically
showed that people’s daily experiences of boredom are indeed influenced by
their daily physical and social contexts, as well as how purposeful and
valuable they perceive their life to be on a given day. Boredom researchers
must take into account how people’s daily life experiences, and factors that
are peripheral to the specific activities they are pursuing, also influence
people’s experiences of boredom.
Acknowledgement
I appreciate the
contributions of Jeanne Nakamura and Ajit Singh Mann in the data collection and
analysis process of this study.
References
Acee, T. W., Kim, H., Kim, H. J.,
Kim, J. I., Chu, H. N. R., Kim, M., and Boredom Research Group. (2010).
Academic Boredom in under and over Challenging Situations. Contemporary
Educational Psychology, 35, 17–27. https://doi.org/10.1016/j.cedpsych.2009.08.002
Ballew, M., Bergquist, P., Goldberg, M., Gustafson, A., Kotcher, J.,
Marlon, J., Roess, A., Rosenthal, S., Maibach, E., and Leiserowitz, A. (2020). Americans’
Risk Perceptions and Emotional Responses to COVID-19, April 2020. Yale
University and George Mason University. Yale Program on Climate Change
Communication.
Barbalet,
J. M. (1999). Boredom and Social Meaning. The British Journal of Sociology,
50(4), 631–646. https://doi.org/10.1111/j.1468-4446.1999.00631.x
Bargdill,
R. (2000). The Study of Life Boredom. Journal of Phenomenological
Psychology, 31(2), 188–219. https://psycnet.apa.org/doi/10.1163/15691620051090979
Behan,
C. (2014). Learning to Escape: Prison Education, Rehabilitation and the Potential
for Transformation. Journal of Prison Education and Reentry, 1(1),
20–31.
http://dx.doi.org/10.15845/jper.v1i1.594
https://doi.org/10.1037/emo0000433
Bengtsson,
T. T. (2012). Boredom and Action: Experiences from Youth Confinement. Journal
of Contemporary Ethnography, 41(5), 526–553. https://doi.org/10.1177/0891241612449356
Brent,
D. A., and Birmaher, B. (2002). Adolescent Depression. New England Journal
of Medicine, 347(9), 667–671. https://doi.org/10.1056/NEJMra2033475
https://doi.org/10.3357/amhp.4875.2017
Chin,
A., Markey, A., Bhargava, S., Kassam, K. S., and Loewenstein, G. (2017). Bored
in the USA: Experience Sampling and Boredom in Everyday Life. Emotion, 17(2),
359–368. https://doi.org/10.1037/emo0000232
Cleary,
M., Sayers, J., Lopez, V., and Hungerford, C. (2016). Boredom in the Workplace:
Reasons, Impact, and Solutions. Issues in Mental Health Nursing, 37(2),
83–89. https://doi.org/10.3109/01612840.2015.1084554
https://doi.org/10.1017/s1041610215001532
Collins,
D. L. (2003). Psychological Issues Relevant to Astronaut Selection for Long-Duration
Space Flight: A Review of the Literature. Journal of Human Performance
in Extreme Environments, 7(1), 43–67. https://doi.org/10.7771/2327-2937.1021
Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety.
Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow:
The Psychology of Optimal Experience. Harper Perennial.
Delpino,
F. M., da Silva, C. N., Jerônimo, J. S., Mulling, E. S., da Cunha, L. L.,
Weymar, M. K., Alt, R., Caputo, E. L., and Feter, N. (2022). Prevalence of Anxiety
during the COVID-19 Pandemic: A Systematic Review and Meta-analysis of over 2 Million
People. Journal of Affective Disorders, 318(1),
272–282. https://doi.org/10.1016/j.jad.2022.09.003
Dora,
J., Van Hooff, M., Geurts, S., Kompier, M., and Bijleveld, E. (2021). Fatigue, Boredom
and Objectively Measured Smartphone Use at Work. Royal Society Open Science,
8(7), 201915. https://doi.org/10.1098/rsos.201915
Eastwood,
J. D., Frischen, A., Fenske, M. J., and Smilek, D. (2012). The Unengaged Mind:
Defining Boredom in Terms of Attention. Perspectives on Psychological
Science, 7(5), 482–495. https://doi.org/10.1177/1745691612456044
Eaton,
L. G., and Funder, D. C. (2001). Emotional Experience in Daily Life: Valence, Variability,
and Rate of Change. Emotion, 1(4), 413–421. https://doi.org/10.1037/1528-3542.1.4.413
Ekwonye,
A. U., Ezumah, B. A., and Nwosisi, N. (2021). Meaning in Life and Impact of
COVID-19 Pandemic on African Immigrants in the United States. Wellbeing,
Space and Society, 2(1), 1–8. https://doi.org/10.1016/j.wss.2021.100033
Elpidorou,
A. (2018). The Good of Boredom. Philosophical Psychology, 31(3),
323–351. https://doi.org/10.1080/09515089.2017.1346240
Elpidorou,
A. (2022). Boredom and Cognitive Engagement: A Functional Theory of Boredom. Review
of Philosophy and Psychology, 13(2), 1–30. https://doi.org/10.1007/s13164-021-00599-6
Fahlman,
S. A., Mercer-Lynn, K. B., Flora, D. B., and Eastwood, J. D. (2013).
Development and Validation of the Multidimensional State Boredom Scale. Assessment,
20(1), 68–85. https://doi.org/10.1177/1073191111421303
https://doi.org/10.1207/s15327752jpa5001_2
Finkielsztein, M. (2023). The Significance of Boredom: A Literature Review.
Journal of Boredom Studies, 1(1), 1–33. https://doi.org/10.5281/zenodo.7144313
Garner,
J. (2020). Experiencing Time in Prison: The Influence of Books, Libraries and Reading. Journal
of Documentation, 76(5), 1033–1050. https://doi.org/10.1108/JD-07-2019-0128
https://doi.org/10.1016/j.heliyon.2022.e09414
Goldberg,
Y. K., Eastwood, J. D., LaGuardia, J., and Danckert, J. (2011). Boredom: An Emotional
Experience Distinct from Apathy, Anhedonia, or Depression. Journal of Social
and Clinical Psychology, 30(6), 647–666. https://psycnet.apa.org/doi/10.1521/jscp.2011.30.6.647
Hamilton,
J. A. (1983). Development of Interest and Enjoyment in Adolescence. Part II.
Boredom and Psychopathology. Journal of Youth and Adolescence, 12(5),
363–372. https://doi.org/10.1007/BF02088720
https://psycnet.apa.org/doi/10.1111/j.1559-1816.2000.tb02497.x
Havermans, R. C., Vancleef, L., Kalamatianos, A., and Nederkoorn, C.
(2015). Eating and Inflicting Pain out of Boredom. Appetite, 85(1),
52–57.
https://doi.org/10.1016/j.appet.2014.11.007
https://doi.org/10.1080/08870446.2021.1914838
https://doi.org/10.3390%2Fijerph18041826
Irawan,
A. W., Dwisona, D., and Lestari, M. (2020). Psychological Impacts of Students
on Online Learning during the Pandemic COVID-19. Journal Bimbingan dan
Konseling, 7(1), 53–60. https://doi.org/10.4236/ce.2021.126097
Jackson,
A., Anderson, A., Weybright, E., and Lanigan, J. (2021). Differing Experiences
of Boredom during the Pandemic and Associations with Dietary Behaviors. Journal
of Nutrition Education and Behavior, 53(8), 706–711. https://doi.org/10.1016/j.jneb.2021.04.005
Kashdan,
T. B., and Steger, M. F. (2007). Curiosity and Pathways to Well-being and Meaning
in Life: Traits, States, and Everyday Behaviors. Motivation and Emotion, 31,
159–173. https://doi.org/10.1007/s11031-007-9068-7
Khanijahani, A., Iezadi, S., Gholipour, K.,
Azami-Aghdash, S., and Naghibi, D. (2021). A Systematic Review of Racial/Ethnic
and Socioeconomic Disparities in COVID-19. International Journal for
Equity in Health, 20(1), 1–30. https://doi.org/10.1186/s12939-021-01582-4
Kuhn,
R. (1976). The Demon of Noontide. Ennui
in Western Literature. Princeton University Press.
Kılıç,
A., Van Tilburg, W. A., and Igou, E. R. (2020). Risk‐taking Increases under Boredom.
Journal of Behavioral Decision Making, 33(3), 257–269. https://doi.org/10.1002/bdm.2160
Krok,
D. (2018). When Is Meaning in Life Most Beneficial to Young People? Styles of Meaning
in Life and Well-being among Late Adolescents. Journal of Adult Development,
25(2), 96–106. https://doi.org/10.1007/s10804-017-9280
Laghi,
F., Pompili, S., Baumgartner, E., and Baiocco, R. (2015). The Role of Sensation
Seeking and Motivations for Eating in Female and Male Adolescents Who Binge Eat.
Eating Behaviors, 17, 119–124. https://doi.org/10.1016/j.eatbeh.2015.01.011
Larson,
R. W. (1990). The Solitary Side of Life: An Examination of the Time People Spend
Alone from Childhood to Old Age. Developmental Review, 10(2),
155–183. https://doi.org/10.1016/0273-2297(90)90008-R
Larson, R. W., and
Richards, M. H. (1991). Boredom in the Middle School Years: Blaming Schools Versus
Blaming Students. American Journal of Education, 99(4), 418–443.
https://psycnet.apa.org/doi/10.1086/443992
Larson,
R. W., Moneta, G., Richards, M. H., and Wilson, S. (2002). Continuity, Stability,
and Change in Daily Emotional Experience across Adolescence. Child
Development, 73(4), 1151–1165. https://doi.org/10.1111/1467-8624.00464
Laws,
J. M., Bruce-Martin, C., Caplan, N., Meroni, R., and Winnard, A. (2022).
Exercise Countermeasure Preferences of Three Male Astronauts: A Preliminary Qualitative
Study. Acta Astronautica, 201, 224–229. https://doi.org/10.1016/j.actaastro.2022.09.012
Layland,
E. K., Ram, N., Caldwell, L. L., Smith, E. A., and Wegner, L. (2021). Leisure Boredom,
Timing of Sexual Debut, and Cooccurring Behaviors among South African Adolescents.
Archives of Sexual Behavior, 50(6), 2383–2394. https://doi.org/10.1007/s10508-021-02014-8
https://doi.org/10.3389/fpsyg.2020.601548
Long,
C. R., Seburn, M., Averill, J. R., and More, T. A. (2003). Solitude Experiences:
Varieties, Settings, and Individual Differences. Personality and Social
Psychology Bulletin, 29(5), 578–583. https://doi.org/10.1177/0146167203029005003
Machell,
K. A., Kashdan, T. B., Short, J. L., and Nezlek, J. B. (2015). Relationships
between Meaning in Life, Social and Achievement Events, and Positive and Negative
Affect in Daily Life. Journal of Personality, 83(3),
287–298. https://doi.org/10.1111/jopy.12103
https://doi.org/10.1177/0044118X15626624
https://doi.org/10.1371/journal.pone.0258344
McRobbie, L.
R. (2012, November). The History of Boredom. Smithsonian.
http://www.smithsonianmag.com/science-nature/the-history-of-boredom-138176427/
Merrifield,
C., and Danckert, J. (2014). Characterizing the Psychophysiological Signature
of Boredom. Experimental Brain Research, 232(2), 481–91. https://doi.org/10.1007/s00221-013-3755-2
Miller,
J. A., Caldwell, L. L., Weybright, E. H., Smith, E. A., Vergnani, T., and
Wegner, L. (2014). Was Bob Seger Right? Relation between Boredom in Leisure and
[Risky] Sex. Leisure Sciences, 36(1), 52–67. https://doi.org/10.1080%2F01490400.2014.860789
Misztal, B.
(2016). The Ambiguity of Everyday Experience: Between Normality and Boredom. Qualitative
Sociology Review, 12(4), 100–119. http://dx.doi.org/10.18778/1733-8077.12.4.06
https://psycnet.apa.org/doi/10.1525/aa.2007.109.2.307
https://doi.org/10.1016/j.psychres.2016.01.063
https://doi.org/10.1016/j.cedpsych.2010.10.003
Newman,
D. B., Nezlek, J. B., and Thrash, T. M. (2018). The Dynamics of Searching for Meaning
and Presence of Meaning in Daily Life. Journal of Personality, 86(3),
368–379. https://doi.org/10.1111/jopy.12321
https://doi.org/10.1111/j.1751-9004.2007.00059.x
https://doi.org/10.1080/02732173.2020.1753134
Patel,
J. A., Nielsen, F. B. H., Badiani, A. A., Assi, S., Unadkat, V. A., Patel, B., and
Wardle, H. (2020). Poverty, Inequality and COVID-19: The Forgotten Vulnerable. Public
Health, 183(1), 110–111. https://psycnet.apa.org/doi/10.1016/j.puhe.2020.05.006
https://psycnet.apa.org/doi/10.1037/a0019243
Pekrun,
R., Hall, N. C., Goetz, T., and Perry, R. P. (2014). Boredom and Academic Achievement:
Testing a Model of Reciprocal Causation. Journal of Educational Psychology,
106(3), 696–710. https://psycnet.apa.org/doi/10.1037/a0036006
Petry,
N. M. (2001). Substance Abuse, Pathological Gambling, and Impulsiveness. Drug
and Alcohol Dependence, 63, 29–38. https://doi.org/10.1016/s0376-8716(00)00188-5
https://doi.org/10.1007/s00221-017-4922-7
Rocheleau,
A. M. (2013). An Empirical Exploration of the “Pains of Imprisonment” and the Level
of Prison Misconduct and Violence. Criminal Justice Review, 38(3),
354–374. https://doi.org/10.1177/0734016813494764
Sharp, E. H.,
Coffman, D. L., Caldwell, L. L., Smith, E. A., Wegner, L., Vergnani, T., and
Mathews, C. (2011). Predicting Substance Use Behavior among South African Adolescents:
The Role of Leisure Experiences across Time. International Journal of
Behavioral Development, 35(4), 343–351. https://doi.org/10.1177%2F0165025411404494
Shaw,
S. M., Caldwell, L. L., and Kleiber, D. A. (1996). Boredom, Stress and Social Control
in the Daily Activities of Adolescents. Journal of Leisure Research, 28(4),
274–292. http://dx.doi.org/10.1080/00222216.1996.11949776
Spaeth,
M., Weichold, K., and Silbereisen, R. K. (2015). The Development of Leisure Boredom
in Early Adolescence: Predictors and Longitudinal Associations with Delinquency
and Depression. Developmental Psychology, 51(10), 1380–1394. https://doi.org/10.1037/a0039480
Steger,
M. F., Kashdan, T. B., Sullivan, B. A., and Lorentz, D. (2008). Understanding
the Search for Meaning in Life: Personality, Cognitive Style, and the Dynamic
between Seeking and Experiencing Meaning. Journal of Personality, 76(2),
199–228. https://doi.org/10.1111/j.1467-6494.2007.00484.x
Tao, Y.,
Niu, H., Hou, W., Zhang, L., and Ying, R. (2022). Hopelessness during and after
the COVID‐19 Pandemic Lockdown among Chinese College Students: A Longitudinal Network
Analysis. Journal of Clinical Psychology, 79(3), 748–761.
https://doi.org/10.1002/jclp.23439
Trzebiński, J., Cabański, M., and Czarnecka, J. Z. (2020). Reaction to the COVID-19
Pandemic: The Influence of Meaning in Life, Life Satisfaction, and Assumptions
on World Orderliness and Positivity. Journal of Loss and Trauma, 25(6–7),
544–557.
https://doi.org/10.1080/15325024.2020.1765098
Unni,
Z., and Weinstein, E. (2021). Shelter in Place, Connect Online: Trending TikTok
Content during the Early Days of the US Covid-19 Pandemic. Journal of
Adolescent Health, 68(5), 863–868. https://doi.org/10.1016/j.jadohealth.2021.02.012
https://psycnet.apa.org/doi/10.1007/s11031-011-9234-9
Van Tilburg, W. A. P., Pekrun, R., and
Igou, E. R. (2022). Consumed by Boredom: Food Choice Motivation and Weight Changes
during the COVID-19 Pandemic. Behavioral Sciences, 12(10),
366. https://doi.org/10.3390/bs12100366
https://doi.org/10.1080/00223891.1990.9674051
https://doi.org/10.1080/00223980.2015.1074531
Weingarten, N., Römer, S., Klein, S., Marszalek, K., van der Meer, I.,
Nijensteen, M., and Stranc, S. (2016). The Effect of Frustration and Boredom on
Self-harming Behaviour. Maastricht Student Journal of Psychology and
Neuroscience, 5(1), 66–82.
Westgate, E. C. (2020). Why Boredom Is
Interesting. Current Directions in Psychological Science, 29(1),
33–40. https://doi.org/10.1177/0963721419884309
https://doi.org/10.1037/rev0000097
Wilson, T.
D., Reinhard, D. A., Westgate, E. C., Gilbert, D.
T., Ellerbeck, N., Hahn, C., and Shaked, A. (2014). Just Think:
The Challenges of the Disengaged Mind. Science, 345, 75–77.
http://dx.doi.org/10.1126/science.1250830
Yusoufzai,
M. K., Vancleef, L., Lobbestael, J., and Schulte, H. M. (2022). Painfully Bored:
The Role of Negative Urgency and History of Non-suicidal Self-injury in Self-administering
Painful Stimuli. Motivation and Emotion, 46(6), 689–701. https://doi.org/10.1007/s11031-022-09970-1
Zhang,
J. (2021). People’s Responses to the COVID-19 Pandemic during Its Early Stages
and Factors Affecting those Responses. Humanities and Social Sciences
Communications, 8(1), 1–13. https://doi.org/10.1057/s41599-021-00720-1