Smartwatch Wearing Behavior Analysis

Smartwaches are the representative wearable or body-worn devices that provide convenient and easy information access. There is a growing body of research work on enabling novel interaction techniques and understanding user experiences of smartwatches. However, there is still lack of user experience research on wearing behaviors of smartwatches, which is critical for wearable device and service design. In this work, we investigate how college students wear smartwatches and what factors affect wearing behaviors by analyzing a longitudinal activity dataset collected from 50 smartwatch users for 203 days. Our results show that there are several temporal usage patterns and distinct groups of usage patterns. The factors affecting wearing behaviors are contextual, nuanced, and multifaceted. Our findings provide diverse design implications for improving wearability of smartwatches and leveraging smartwatches for behavioral changes.

[1]  Ulrike von Luxburg,et al.  A tutorial on spectral clustering , 2007, Stat. Comput..

[2]  Susanne Boll,et al.  Identification and Classification of Usage Patterns in Long-Term Activity Tracking , 2017, CHI.

[3]  Niels Henze,et al.  In-situ investigation of notifications in multi-device environments , 2016, UbiComp.

[4]  Christian Koehler,et al.  Why we use and abandon smart devices , 2015, UbiComp.

[5]  M. Hassenzahl,et al.  Wellbeing in the Making: Peoples’ Experiences with Wearable Activity Trackers , 2016, Psychology of well-being.

[6]  Wei Pan,et al.  SoundSense: scalable sound sensing for people-centric applications on mobile phones , 2009, MobiSys '09.

[7]  Sean A. Munson,et al.  Reconsidering the device in the drawer: lapses as a design opportunity in personal informatics , 2016, UbiComp.

[8]  Christian Poellabauer,et al.  Experiences measuring sleep and physical activity patterns across a large college cohort with fitbits , 2016, SEMWEB.

[9]  Johannes Schöning,et al.  The office smartwatch: development and design of a smartwatch app to digitally augment interactions in an office environment , 2014, DIS Companion '14.

[10]  Karen Holtzblatt,et al.  Contextual design , 1997, INTR.

[11]  Haibo He,et al.  Learning from Imbalanced Data , 2009, IEEE Transactions on Knowledge and Data Engineering.

[12]  Majid Sarrafzadeh,et al.  Audio-based detection and evaluation of eating behavior using the smartwatch platform , 2015, Comput. Biol. Medicine.

[13]  Jodi Forlizzi,et al.  Understanding my data, myself: supporting self-reflection with ubicomp technologies , 2011, UbiComp '11.

[14]  Joonwon Lee,et al.  NUGU: A Group-based Intervention App for Improving Self-Regulation of Limiting Smartphone Use , 2015, CSCW.

[15]  Seungwoo Kang,et al.  Exploring current practices for battery use and management of smartwatches , 2015, SEMWEB.

[16]  Mirco Musolesi,et al.  InterruptMe: designing intelligent prompting mechanisms for pervasive applications , 2014, UbiComp.

[17]  Uichin Lee,et al.  FamiLync: facilitating participatory parental mediation of adolescents' smartphone use , 2015, UbiComp.

[18]  Thomas Zimmermann,et al.  Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness , 2014, CHI.

[19]  Frank Bentley,et al.  "It's kind of like an extra screen for my phone": Understanding Everyday Uses of Consumer Smart Watches , 2015, CHI Extended Abstracts.

[20]  Kent Lyons,et al.  What can a dumb watch teach a smartwatch?: informing the design of smartwatches , 2015, SEMWEB.

[21]  Kent Lyons,et al.  Shimmering Smartwatches: Exploring the Smartwatch Design Space , 2015, TEI.

[22]  Marta E. Cecchinato,et al.  Smartwatches: the Good, the Bad and the Ugly? , 2015, CHI Extended Abstracts.

[23]  Joe Marshall,et al.  Uncomfortable user experience , 2013, Commun. ACM.

[24]  Daniel Ashbrook Enabling mobile microinteractions , 2010 .

[25]  Bernt Schiele,et al.  A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.

[26]  Vivian Genaro Motti,et al.  Smart Wearables or Dumb Wearables?: Understanding how Context Impacts the UX in Wrist Worn Interaction , 2016, SIGDOC.

[27]  Blaine A. Price,et al.  Wearables: has the age of smartwatches finally arrived? , 2015, Commun. ACM.

[28]  Uichin Lee,et al.  Exploring UX issues in Quantified Self technologies , 2015, 2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU).

[29]  Dongman Lee,et al.  Don't Bother Me. I'm Socializing!: A Breakpoint-Based Smartphone Notification System , 2017, CSCW.

[30]  Jay Lundell,et al.  Understanding User Experience Journeys for a Smart Watch Device , 2016, HCI.

[31]  Jun Rekimoto,et al.  Inconvenient interactions: an alternative interaction design approach to enrich our daily activities , 2014, AVI.

[32]  Joonwon Lee,et al.  Hooked on smartphones: an exploratory study on smartphone overuse among college students , 2014, CHI.

[33]  Jodi Forlizzi,et al.  A stage-based model of personal informatics systems , 2010, CHI.

[34]  Fanglin Chen,et al.  StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones , 2014, UbiComp.

[35]  Matthew Chalmers,et al.  Personal tracking as lived informatics , 2014, CHI.

[36]  Lena Mamykina,et al.  No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist , 2015, UbiComp.

[37]  Jonathan J. Kandell,et al.  Internet Addiction on Campus: The Vulnerability of College Students , 1998, Cyberpsychology Behav. Soc. Netw..

[38]  Evangelos Karapanos,et al.  How do we engage with activity trackers?: a longitudinal study of Habito , 2015, UbiComp.

[39]  Thurasamy Ramayah,et al.  Wearable technologies: The role of usefulness and visibility in smartwatch adoption , 2016, Comput. Hum. Behav..

[40]  Ian Oakley,et al.  Beats: Tapping Gestures for Smart Watches , 2015, CHI.

[41]  Hans-Jürgen Appelrath,et al.  Exploring Longitudinal Use of Activity Trackers , 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

[42]  Barry A. T. Brown,et al.  Smartwatch in vivo , 2016, CHI.

[43]  Seung-Woo Choi,et al.  Lock n' LoL: Group-based Limiting Assistance App to Mitigate Smartphone Distractions in Group Activities , 2016, CHI.

[44]  Claus-Peter H. Ernst,et al.  Success Comes to Those Who Are Successful: The Influence of Past Product Expectation Confirmation on Smartwatch Usage , 2016 .

[45]  Seongcheol Kim,et al.  Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches , 2016, Comput. Hum. Behav..

[46]  Deborah Estrin,et al.  Using mobile phones to determine transportation modes , 2010, TOSN.

[47]  Jun Rekimoto,et al.  Smiling makes us happier: enhancing positive mood and communication with smile-encouraging digital appliances , 2011, UbiComp '11.

[48]  Sean A. Munson,et al.  Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use , 2016, CHI.

[49]  Kent Lyons Smartwatch Innovation: Exploring a Watch-First Model , 2016, IEEE Pervasive Computing.

[50]  Seongcheol Kim,et al.  Consumer valuation of the wearables: The case of smartwatches , 2016, Comput. Hum. Behav..