Abstract
Stress occurs in a human being when they are faced with exigent situations in life. Assessing stress has been always challenging. Smartphones have become a part of everyone’s day-to-day activity in the present time. Considering human–smartphone interaction, sensing of stress in an individual can be assessed as today’s youth spends most of their time with smartphones. Taking this into consideration, a study is carried out in this paper on assessing stress of an individual based on their interaction with the smartphone. In this work, human–smartphone interaction features, like ‘swipe,’ ‘scroll,’ and ‘text input,’ are examined. Text input is incorporated by disabling the autocorrection and spelling checker features of the keyboard. Moreover, sensor data is used by Google activity recognition API to analyze the physical activity of the individual to assess the stress level.
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References
Sun D, Paredes P, Canny J (2014) Moustress: detecting stress from mouse motion. In: Proceedings of the SIGCHI conference on human factors in computing systems, 2014, pp 61–70
Haijun L, Shukuan Z (2010) Study on the psychological stress and its mediator factors: an empirical study of high school students. In: 2010 second international conference on communication systems, networks and applications (ICCSNA), vol 1. IEEE
https://www.usatoday.com/story/news/nation/2014/02/11/stress-teens-psychological/5266739/
Muaremi A et al (2014) Monitoring the impact of stress on the sleep patterns of pilgrims using wearable sensors. In: 2014 IEEE-EMBS international conference on biomedical and health informatics (BHI). IEEE
Bauer G, Lukowicz P (2012) Can smartphones detect stress-related changes in the behaviour of individuals? In: 2012 IEEE international conference on pervasive computing and communications workshops (PERCOM Workshops). IEEE
Ciman M, Wac K (2017) Automatic stress assessment using smartphone interaction data. In: POSTER, p 67
Hernandez J, Paredes P, Roseway A, Czerwinski M (2014) Under pressure: sensing stress of computer users. In: Proceedings of the SIGCHI conference on human factors in computing systems, 2014, pp 51–60
Stütz T et al (2015) Smartphone based stress prediction. In: International conference on user modeling, adaptation, and personalization. Springer, Cham
Ciman M, Wac K, Gaggi O (2015) iSenseStress: assessing stress through human-smartphone interaction analysis. In: Proceedings of the 9th international conference on pervasive computing technologies for healthcare. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)
Ciman M, Wac K (2016) Individuals stress assessment using human-smartphone interaction analysis. IEEE Trans Affect Comput
Acknowledgements
The participants for this study were from undergraduate course in the age group of 19–21 from the university. Participants were informed that the research is focused on analyzing the induced stress level of an individual. Each of the activities was in detail explained to each one of them. The approximate duration of the whole experiment was about 15–25 min depending on the type of activity being performed for five days each, critical thinking skill, the speed at which participant was able find the answer, and the writing task without mistake. The activity log was collected from the individuals with their consent for the same. The research team would like to thank the individuals who generously shared their time for the purposes of this project.
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Sisodia, P.R., Vijayalakshmi, A. (2019). Assessing Human Stress Through Smartphone Usage. In: Sridhar, V., Padma, M., Rao, K. (eds) Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, vol 545. Springer, Singapore. https://doi.org/10.1007/978-981-13-5802-9_36
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DOI: https://doi.org/10.1007/978-981-13-5802-9_36
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