ABSTRACT
Wearable devices can have potential applications to intelligence augmentation by reducing the cognitive effort of maintaining healthy habits, but they are yet to be successful at substantially modifying behavior. This paper investigates this failure through an examination of how self-reflection impacts habit transformation and discusses potential solutions for encouraging data actionability.
- Reham Alhejaili and Akram Alomainy. 2023. The Use of Wearable Technology in Providing Assistive Solutions for Mental Well-Being. Sensors 23, 17 (Aug. 2023), 7378. https://doi.org/10.3390/s23177378Google ScholarCross Ref
- Kelly Glazer Baron, Jennifer Duffecy, Mark A. Berendsen, Ivy Cheung Mason, Emily G. Lattie, and Natalie C. Manalo. 2018. Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep. Sleep Medicine Reviews 40 (Aug. 2018), 151–159. https://doi.org/10.1016/j.smrv.2017.12.002Google ScholarCross Ref
- Matteo Briguglio, Jacopo Vitale, Roberta Galentino, Giuseppe Banfi, Carlotta Zanaboni Dina, Alberto Bona, Giancarlo Panzica, Mauro Porta, Bernardo Dell’Osso, and Ira Glick. 2020. Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice. Neuropsychiatric Disease and Treatment Volume 16 (Jan. 2020), 55–70. https://doi.org/10.2147/NDT.S229206Google ScholarCross Ref
- Colleen E. Carney, Daniel J. Buysse, Sonia Ancoli-Israel, Jack D. Edinger, Andrew D. Krystal, Kenneth L. Lichstein, and Charles M. Morin. 2012. The Consensus Sleep Diary: Standardizing Prospective Sleep Self-Monitoring. Sleep 35, 2 (Feb. 2012), 287–302. https://doi.org/10.5665/sleep.1642Google ScholarCross Ref
- Janghee Cho, Laura Devendorf, and Stephen Voida. 2021. From The Art of Reflection to The Art of Noticing: A Shifting View of Self-Tracking Technologies’ Role in Supporting Sustainable Food Practices. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–7. https://doi.org/10.1145/3411763.3451838Google ScholarDigital Library
- Eun Kyoung Choe, Bongshin Lee, Haining Zhu, Nathalie Henry Riche, and Dominikus Baur. 2017. Understanding self-reflection: how people reflect on personal data through visual data exploration. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. ACM, Barcelona Spain, 173–182. https://doi.org/10.1145/3154862.3154881Google ScholarDigital Library
- Elizabeth Victoria Eikey, Clara Marques Caldeira, Mayara Costa Figueiredo, Yunan Chen, Jessica L. Borelli, Melissa Mazmanian, and Kai Zheng. 2021. Beyond self-reflection: introducing the concept of rumination in personal informatics. Personal and Ubiquitous Computing 25, 3 (June 2021), 601–616. https://doi.org/10.1007/s00779-021-01573-wGoogle ScholarDigital Library
- MoezAlIslam E. Faris, Michael V. Vitiello, Dana N. Abdelrahim, Leila Cheikh Ismail, Haitham A. Jahrami, Sharfa Khaleel, Maryam S. Khan, Ayman Z. Shakir, Ayesha M. Yusuf, Alyaa A. Masaad, and Ahmed S. Bahammam. 2022. Eating habits are associated with subjective sleep quality outcomes among university students: findings of a cross-sectional study. Sleep and Breathing 26, 3 (Sept. 2022), 1365–1376. https://doi.org/10.1007/s11325-021-02506-wGoogle ScholarCross Ref
- Asmaa Jniene, Leila Errguig, Abdelkader Jalil El Hangouche, Hanan Rkain, Souad Aboudrar, Mustapha El Ftouh, and Taoufiq Dakka. 2019. Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students. BioMed Research International 2019 (Dec. 2019), 1–8. https://doi.org/10.1155/2019/7012350Google ScholarCross Ref
- Asaduzzaman Khan, Md Amjad Hossain Reyad, Elizabeth Edwards, and Sharon Horwood. 2023. Associations between adolescent sleep difficulties and active versus passive screen time across 38 countries. Journal of Affective Disorders 320 (Jan. 2023), 298–304. https://doi.org/10.1016/j.jad.2022.09.137Google ScholarCross Ref
- Amanda Lazar, Christian Koehler, Theresa Jean Tanenbaum, and David H. Nguyen. 2015. Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, Osaka Japan, 635–646. https://doi.org/10.1145/2750858.2804288Google ScholarDigital Library
- Ian Li, Anind K. Dey, and Jodi Forlizzi. 2011. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proceedings of the 13th international conference on Ubiquitous computing. ACM, Beijing China, 405–414. https://doi.org/10.1145/2030112.2030166Google ScholarDigital Library
- Fu-ren Lin and Nila Armelia Windasari. 2019. Continued use of wearables for wellbeing with a cultural probe. The Service Industries Journal 39, 15-16 (Dec. 2019), 1140–1166. https://doi.org/10.1080/02642069.2018.1504924Google ScholarCross Ref
- Hannah R. Nolasco, Andrew Vargo, Yusuke Komatsu, Motoi Iwata, and Koichi Kise. 2023. Perception Versus Reality: How User Self-reflections Compare to Actual Data. In Human-Computer Interaction – INTERACT 2023. Vol. 14144. Springer Nature Switzerland, Cham, 665–674. https://doi.org/10.1007/978-3-031-42286-7_37 Series Title: Lecture Notes in Computer Science.Google ScholarDigital Library
Index Terms
- Augmenting Sleep Behavior with a Wearable: Can Self-Reflection Help?
Recommendations
Understanding self-reflection: how people reflect on personal data through visual data exploration
PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for HealthcareRapid advancements in consumer technologies enable people to collect a wide range of personal data. With a proper means for people to ask questions and explore their data, longitudinal data feeds from multiple self-tracking tools pose great ...
The Role of Accidental Self-Reflection in Wearable Camera Research
MobileHCI '15: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services AdjunctSelf-reflection is an important tool for understanding and encouraging behavior change for wellbeing and personal sustainability. This can be a deliberate choice, or unintentionally prompted decision. In this paper we discuss self-reflection on ...
Self-Reflection and Personal Physicalization Construction
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsSelf-reflection is a central goal of personal informatics systems, and constructing visualizations from physical tokens has been found to help people reflect on data. However, so far, constructive physicalization has only been studied in lab ...
Comments