Laughter in everyday life: an event-based experience sampling method study using wrist-worn wearables.

Laughter is a universal, nonverbal vocal expression of broad significance for humans. Interestingly, rather little is known about how often we laugh and how laughter is associated with our personality. In a large, event-based, experience sampling method study (N = 52; k = 9,261 assessments) using wrist-worn wearables and a physical analogue scale, we analyzed belly laughs and fit of laughter events in participants' everyday life for 4 weeks. Additionally, we assessed associations with laughter frequency such as personality, happiness, life satisfaction, gelotophobia (i.e., fear of being laughed at), and cheerfulness. Validating our new measurement approach (i.e., wearables, physical analogue scale), laughter events elicited higher happiness ratings compared to reference assessments, as expected. On average, participants reported 2.5 belly laughs per day and on every fourth day a fit of laughter. As expected, participants who were happier and more satisfied with their life laughed more frequently than unhappier, unsatisfied participants. Women and younger participants laughed significantly more than men and older participants. Regarding personality, laughter frequency was positively associated with openness and conscientiousness. No significant association was found for gelotophobia, and results for cheerfulness and related concepts were mixed. By using state-of-the-art statistical methods (i.e., recurrent event regression) for the event-based, multi-level data on laughter, we could replicate past results on laughing.

Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designs.

The experience sampling method (ESM) allows for a high degree of ecological validity compared to laboratory research, at the cost of greater effort for participants. It would therefore benefit from implementations that reduce participant effort. In the present paper, we introduce a screenless wrist-worn one-button wearable as an unobtrusive measurement method that can be employed in ESM designs. We developed an open-source Android application to make this commercially available wearable easily configurable and usable. Over the course of six pilot studies, we explored the technical viability (e.g., battery life, reliability of inputs) of this wearable. We compared data quality between wearables and smartphones in a within-subjects design, exploring both the input options of using the number of button presses as a Likert scale, as well as using the angle of the device as a Physical Analogue Scale. Assessments of Extraversion made with either of these methods were highly correlated to comparable assessments made with comparable methods on a smartphone (i.e., Likert scale or a Visual Analogue Scale, respectively). Furthermore, in a preregistered ESM field experiment (N = 134, 4 weeks), we compared compliance to real-life event triggers between wearable devices and smartphones. We found higher numbers of logged events in the wearable group, indicating better adherence to the event-contingent scheduling. Overall, despite the device's minimal capabilities and resulting limitations, one-button wearables can be beneficial for use in ESM designs.

Examining terror management theory in Ukraine: impact of air-raid alarms and explosions on mental health, somatic symptoms, and well-being.

Objective: This study sought to evaluate Terror Management Theory (TMT) assumptions about death awareness and its psychological impact in the context of a real-world war situation with high external validity. We examined if factors such as habituation to war circumstances and psychological resilience could buffer the effects on civilians' anxiety, physical and mental health, and affect. Method: We implemented a pre-registered smartphone-based experience sampling method study over four weeks, with 307 participants (k = 7,824) living in war-affected areas in Ukraine whereby participants were regularly exposed to war situations, including air-raid alarms, explosions, and infrastructural problems. Results: The data indicated that war situations significantly increased anxiety, negatively impacting mental health, and raising somatic symptom severity. While habituation showed a mild buffering effect on these impacts, resilience did not. Conclusion: This real-world investigation supports TMT's fundamental assumptions about death awareness and its psychological implications. However, even amidst the presence of real, life-threatening situations, the buffering effects of habituation were surprisingly minimal. This suggests that further exploration of TMT's buffering factors in real-world scenarios is warranted.

ESMira: A decentralized open-source application for collecting experience sampling data.

This paper introduces ESMira, a server and mobile app (Android, iOS) developed for research projects using experience sampling method (ESM) designs. ESMira offers a very simple setup process and ease of use, while being free, decentralized, and open-source (source code is available on GitHub). The ongoing development of ESMira started in early 2019, with a focus on scientific requirements (e.g., informed consent, ethical considerations), data security (e.g., encryption), and data anonymity (e.g., completely anonymous data workflow). ESMira sets itself apart from other platforms by both being free of charge and providing study administrators with full control over study data without the need for specific technological skills (e.g., programming). This means that study administrators can have ESMira running on their own webspace without needing much technical knowledge, allowing them to remain independent from any third-party service. Furthermore, ESMira offers an extensive list of features (e.g., an anonymous built-in chat to contact participants; a reward system that allows participant incentivization without breaching anonymity; live graphical feedback for participants) and can deal with complex study designs (e.g., nested time-based sampling). In this paper, we illustrate the basic structure of ESMira, explain how to set up a new server and create studies, and introduce the platform's basic functionalities.

Emotional Well-Being Under Conditions of Lockdown: An Experience Sampling Study in Austria During the COVID-19 Pandemic.

The coronavirus (COVID-19) pandemic and attendant lockdown measures present serious threats to emotional well-being worldwide. Here, we examined the extent to which being outdoors (vs. indoors), the experience of loneliness, and screen-time are associated with emotional well-being during the COVID-19 pandemic using an experiencing sampling method. In April 2020, Austrian adults (N = 286, age M = 31.0 years) completed a 21-day experience sampling phase in which they reported their emotional well-being (i.e., happiness), whether they were indoors or outdoors, and loneliness at three random time-points each day, as well as their daily screen-time. Results indicated that being outdoors was associated with higher emotional well-being, whereas greater loneliness and greater daily screen-time were associated with poorer well-being. Additionally, the impact of loneliness on well-being was weaker when participants were outdoors than indoors. These results have health policy implications for the promotion of population well-being during pandemics.

The Sensor-Based Physical Analogue Scale as a Novel Approach for Assessing Frequent and Fleeting Events: Proof of Concept.

New technologies (e.g., smartphones) have made it easier to conduct Experience Sampling Method (ESM) studies and thereby collect longitudinal data in situ. However, limiting interruption burden (i.e., the strain of being pulled out of everyday life) remains a challenge, especially when assessments are frequent and/or must be made immediately after an event, such as when capturing the severity of clinical symptoms in everyday life. Here, we describe a wrist-worn microcomputer programmed with a Physical Analogue Scale (PAS) as a novel approach to ESM in everyday life. The PAS uses the position of a participant's forearm between flat and fully upright as a response scale like a Visual Analogue Scale (VAS) uses continuous ratings on a horizontal line. We present data from two pilot studies (4-week field study and lab study) and data from a 2-week ESM study on social media ostracism (i.e., when one's social media message is ignored; N = 53 participants and 2,272 event- and time-based assessments) to demonstrate the feasibility of this novel approach for event- and time-based assessments, and highlight advantages of our approach. PAS angles were accurate and reliable, and VAS and PAS values were highly correlated. Furthermore, we replicated past research on cyber ostracism, by finding that being ignored resulted in significantly stronger feelings of being offended, which was more pronounced when ignored by a group compared to a single person. Furthermore, participants did not find it overly difficult to complete the assessments using the wearable and the PAS. We suggest that the PAS is a valid measurement procedure in order to assess fleeting and/or frequent micro-situations in everyday life. The source code and administration application are freely available.

A Week Without Using Social Media: Results from an Ecological Momentary Intervention Study Using Smartphones.

Online social media is now omnipresent in many people's daily lives. Much research has been conducted on how and why we use social media, but little is known about the impact of social media abstinence. Therefore, we designed an ecological momentary intervention study using smartphones. Participants were instructed not to use social media for 7 days (4 days baseline, 7 days intervention, and 4 days postintervention; N = 152). We assessed affect (positive and negative), boredom, and craving thrice a day (time-contingent sampling), as well as social media usage frequency, usage duration, and social pressure to be on social media at the end of each day (7,000+ single assessments). We found withdrawal symptoms, such as significantly heightened craving (ß = 0.10) and boredom (ß = 0.12), as well as reduced positive and negative affect (only descriptively). Social pressure to be on social media was significantly heightened during social media abstinence (ß = 0.19) and a substantial number of participants (59 percent) relapsed at least once during the intervention phase. We could not find any substantial rebound effect after the end of the intervention. Taken together, communicating through online social media is evidently such an integral part of everyday life that being without it leads to withdrawal symptoms (craving, boredom), relapses, and social pressure to get back on social media.

Can smartphones be used to bring computer-based tasks from the lab to the field? A mobile experience-sampling method study about the pace of life.

Researchers are increasingly using smartphones to collect scientific data. To date, most smartphone studies have collected questionnaire data or data from the built-in sensors. So far, few studies have analyzed whether smartphones can also be used to conduct computer-based tasks (CBTs). Using a mobile experience-sampling method study and a computer-based tapping task as examples (N = 246; twice a day for three weeks, 6,000+ measurements), we analyzed how well smartphones can be used to conduct a CBT. We assessed methodological aspects such as potential technologically induced problems, dropout, task noncompliance, and the accuracy of millisecond measurements. Overall, we found few problems: Dropout rate was low, and the time measurements were very accurate. Nevertheless, particularly at the beginning of the study, some participants did not comply with the task instructions, probably because they did not read the instructions before beginning the task. To summarize, the results suggest that smartphones can be used to transfer CBTs from the lab to the field, and that real-world variations across device manufacturers, OS types, and CPU load conditions did not substantially distort the results.

Parent-child proximity and personality: basic human values and moving distance.

BACKGROUND: An important event in many young people's lives is moving out of the parental home. This event is often operationalized as the distance between parents and their children, i.e., parent-child proximity. METHODS: The present study (N = 1,451) analyzed correlates of parent-child proximity through the lens of human value theory (Schwartz, Advances in experimental social psychology, 1992). Besides a classical proximity measure (i.e., parent-child), we also calculated the distance between childhood and current place of residence (i.e., childhood-now), as well as parent-childhood proximity (distance between children's childhood place of residence and the current place of residence of parents), which acts as a control group because this distance is most probably chosen by the parents. RESULTS: As hypothesized, we found that participants valuing universalism and self-direction as important (i.e., associated with growth and anxiety-freedom) moved further away from the place where their parents live and the place where they grew up than participants valuing self-protection and anxiety-avoidance (e.g., tradition, security, conformity). CONCLUSIONS: This study not only adds to research on psychological motivations to move, it endorses value theory as being a useful lens through which to analyze migration behavior.