Are You Killing Time? Predicting Smartphone Users’ Time-killing Moments via Fusion of Smartphone Sensor Data and Screenshots

Chen, Yu-Chun; Lee, Yu–Jen; Kao, Kuei-Chun; Tsai, Jie; Liang, En-Chi; Chiu, Wei-Chen; Shih, Faye; Chang, Yung-Ju

doi:10.1145/3544548.3580689

Cited by 6 publications

(1 citation statement)

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“…The waiting time spent with "no purpose" (3%) was excluded from this analysis. Independent variables in our final model included the duration of the waiting, whether the participants had access to their mobile phones, whether they had access to computers, whether they were at home, whether they were at workplaces, and whether the waiting occurred during lunch break (defined as 11:00 to 12:59 as in [9]). We used lunch break instead of mealtime, as lunch break may arise from the blurring of work and non-work life during participants' workdays 2 .…”

Section: Rq2: How Do Situational Factors Affectmentioning

confidence: 99%

Fragmented Moments, Balanced Choices: How Do People Make Use of Their Waiting Time?

Zheng,

Gao

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Everyone spends some time waiting every day. HCI research has developed tools for boosting productivity while waiting. However, little is known about how people naturally spend their waiting time. We conducted an experience sampling study with 21 working adults who used a mobile app to report their daily waiting time activities over two weeks. The aim of this study is to understand the activities people do while waiting and the effect of situational factors. We found that participants spent about 60% of their waiting time on leisure activities, 20% on productive activities, and 20% on maintenance activities. These choices are sensitive to situational factors, including accessible device, location, and certain routines of the day. Our study complements previous ones by demonstrating that people purpose waiting time for various goals beyond productivity and to maintain work-life balance. Our findings shed light on future empirical research and system design for time management.

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Section: Rq2: How Do Situational Factors Affectmentioning

confidence: 99%