Situating Wearables: Smartwatch Use in Context

Drawing on 168 hours of video recordings of smartwatch use, this paper studies how context influences smartwatch use. We explore the effects of the presence of others, activity, location and time of day on 1,009 instances of use. Watch interaction is significantly shorter when in conversation than when alone. Activity also influences watch use with significantly longer use while eating than when socialising or performing domestic tasks. One surprising finding is that length of use is similar at home and work. We note that usage peaks around lunchtime, with an average of 5.3 watch uses per hour throughout a day. We supplement these findings with qualitative analysis of the videos, focusing on how use is modified by the presence of others, and the lack of impact of watch glances on conversation. Watch use is clearly a context-sensitive activity and in discussion we explore how smartwatches could be designed taking this into consideration.

[1]  Chris Quintana,et al.  Keeping Watch: Exploring Wearable Technology Designs for K-12 Teachers , 2016, CHI Extended Abstracts.

[2]  Mats Eriksson,et al.  Referring as interaction: On the interplay between linguistic and bodily practices , 2009 .

[3]  Jorge Gonçalves,et al.  Contextual experience sampling of mobile application micro-usage , 2014, MobileHCI '14.

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

[5]  K. Shelley Developing the American Time Use Survey activity classification system , 2005 .

[6]  Eric Horvitz,et al.  Disruption and recovery of computing tasks: field study, analysis, and directions , 2007, CHI.

[7]  Birsen Donmez,et al.  Smartwatches vs. smartphones: a preliminary report of driver behavior and perceived risk while responding to notifications , 2015, AutomotiveUI.

[8]  Anind K. Dey,et al.  Serendipity: Finger Gesture Recognition using an Off-the-Shelf Smartwatch , 2016, CHI.

[9]  Roope Raisamo,et al.  Glance Awareness and Gaze Interaction in Smartwatches , 2015, CHI Extended Abstracts.

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

[11]  Mark D. Dunlop,et al.  Text Input on a Smart Watch , 2014, IEEE Pervasive Computing.

[12]  Mary Czerwinski,et al.  Instant Messaging and Interruption: Influence of Task Type on Performance , 2000 .

[13]  Benjamin B. Bederson,et al.  AppLens and launchTile: two designs for one-handed thumb use on small devices , 2005, CHI.

[14]  Michael Rohs,et al.  HoverFlow: expanding the design space of around-device interaction , 2009, Mobile HCI.

[15]  Karolina Baras,et al.  Assessment of activity trackers: toward an acceptance model , 2016, UbiComp Adjunct.

[16]  Barry A. T. Brown,et al.  100 days of iPhone use: understanding the details of mobile device use , 2014, MobileHCI '14.

[17]  Ian Oakley,et al.  Interaction on the edge: offset sensing for small devices , 2014, CHI.

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

[19]  Michael Rohs,et al.  Hoverflow: exploring around-device interaction with IR distance sensors , 2009, Mobile HCI.

[20]  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.

[21]  Jesper Aagaard,et al.  Mobile devices, interaction, and distraction: a qualitative exploration of absent presence , 2016, AI & SOCIETY.

[22]  M. Life iPhone in vivo : video analysis of mobile device use , 2013 .

[23]  Paul A. Cairns,et al.  Pauses in doctor-patient conversation during computer use: The design significance of their durations and accompanying topic changes , 2010, Int. J. Hum. Comput. Stud..

[24]  Melanie Swan,et al.  Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0 , 2012, J. Sens. Actuator Networks.

[25]  Archan Misra,et al.  LiveLabs: Building In-Situ Mobile Sensing & Behavioural Experimentation TestBeds , 2016, MobiSys.

[26]  Gierad Laput,et al.  Expanding the input expressivity of smartwatches with mechanical pan, twist, tilt and click , 2014, CHI.

[27]  Wei-Hung Chen,et al.  Blowatch: Blowable and Hands-free Interaction for Smartwatches , 2015, CHI Extended Abstracts.

[28]  Jaime Teevan,et al.  WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables , 2015, UIST.

[29]  Mark T. Smith Reconciling ICT and Wearable Design: Ten Lessons from Working with Swatch , 2007 .

[30]  Michael Beigl,et al.  Preliminary investigations about interruptibility of smartphone users at specific place types , 2016, UbiComp Adjunct.

[31]  Ravin Balakrishnan,et al.  DualKey: Miniature Screen Text Entry via Finger Identification , 2016, CHI.

[32]  Barry A. T. Brown,et al.  From in the wild to in vivo: Video Analysis of Mobile Device Use , 2015, MobileHCI.

[33]  C. Goodwin The Interactive Construction of a Sentence in Natural Conversation , 1979 .

[34]  C. Heath,et al.  Technology in Action: ‘Interaction’ with computers in architecture , 2000 .

[35]  Juan E. Tapiador,et al.  A Survey of Wearable Biometric Recognition Systems , 2016, ACM Comput. Surv..

[36]  Martin Pielot,et al.  An in-situ study of mobile phone notifications , 2014, MobileHCI '14.

[37]  Deborah A. Newton,et al.  Technology in Action , 2013 .

[38]  Marcus Sanchez Svensson,et al.  Configuring Awareness , 2002, Computer Supported Cooperative Work (CSCW).

[39]  Christian Heath,et al.  Interpersonal Communication and Human-Computer Interaction: An Examination of the Use of Computers in Medical Consultations , 1993, Interact. Comput..

[40]  Yiqiang Chen,et al.  OCEAN: a new opportunistic computing model for wearable activity recognition , 2016, UbiComp Adjunct.

[41]  Niels Henze,et al.  100,000,000 taps: analysis and improvement of touch performance in the large , 2011, Mobile HCI.

[42]  C. Heath,et al.  Body movement and speech in medical interaction: Postscript: the use of medical records and computers during the consultation , 1986 .

[43]  Daniel Gatica-Perez,et al.  Smartphone usage in the wild: a large-scale analysis of applications and context , 2011, ICMI '11.

[44]  Antonio Krüger,et al.  Back to the app: the costs of mobile application interruptions , 2012, Mobile HCI.

[45]  Johannes Schöning,et al.  WatchMe: A Novel Input Method Combining a Smartwatch and Bimanual Interaction , 2015, CHI Extended Abstracts.

[46]  Dirk Wenig,et al.  HoverZoom: making on-screen keyboards more accessible , 2014, CHI Extended Abstracts.

[47]  Tim May,et al.  Analysing Interaction: Video, Ethnography and Situated Conduct , 2002 .

[48]  Shumin Zhai,et al.  WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding , 2016, CHI.

[49]  Benjamin B. Bederson,et al.  Target size study for one-handed thumb use on small touchscreen devices , 2006, Mobile HCI.

[50]  Eric Horvitz,et al.  RightSPOT: A Novel Sense of Location for a Smart Personal Object , 2003, UbiComp.

[51]  Barry A. T. Brown,et al.  Searchable Objects: Search in Everyday Conversation , 2015, CSCW.

[52]  Stéphane Huot,et al.  TapTap and MagStick: improving one-handed target acquisition on small touch-screens , 2008, AVI '08.

[53]  Blockin Towards High Quality Text Entry on Smartwatches , 2014 .

[54]  Yeoreum Lee,et al.  Design Opportunities in Three Stages of Relationship Development between Users and Self-Tracking Devices , 2016, CHI.

[55]  Israel Berger,et al.  Do continuing states of incipient talk exist , 2016 .

[56]  Marina Jirotka,et al.  The Case of the Disappearing Ox: Seeing Through Digital Images to an Analysis of Ancient Texts , 2010, CHI 2010.

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