Upright or sideways?: analysis of smartphone postures in the wild

In this paper, we investigate how smartphone applications, in particular web browsers, are used on mobile phones. Using a publicly available widget for smart phones, we recorded app usage and the phones' acceleration and orientation from 1,330 devices. Combining app usage and sensor data we derive the device's typical posture while different apps are used. Analyzing motion data shows that devices are moved more while messaging and navigation apps are used as opposed to browser and other common applications. The time distribution between landscape and portrait depicts that most of the landscape mode time is used for burst interaction (e.g., text entry), except for Media apps, which are mostly used in landscape mode. Additionally, we found that over 31% of our users use more than one web browser. Our analysis reveals that the duration of mobile browser sessions is longer by a factor of 1.5 when browsers are explicitly started through the system's launcher in comparison to being launched from within another app. Further, users switch back and forth between apps and web browsers, which suggest that a tight and smooth integration of web browsers with native apps can improve the overall usability. From our findings we derive design guidelines for app developers.

[1]  Hannu Verkasalo,et al.  Contextual patterns in mobile service usage , 2009, Personal and Ubiquitous Computing.

[2]  Clayton Shepard,et al.  Characterizing web use on smartphones , 2012, CHI.

[3]  Connor Graham,et al.  A Review of Mobile HCI Research Methods , 2003, Mobile HCI.

[4]  Virpi Roto,et al.  How people use the web on mobile devices , 2008, WWW.

[5]  Adrian David Cheok,et al.  22nd International Conference on Human-Computer Interaction with Mobile Devices and Services , 2007, Lecture Notes in Computer Science.

[6]  James A. Landay,et al.  MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones , 2007, MobiSys '07.

[7]  Alireza Sahami Shirazi,et al.  WorldCupinion Experiences with an Android App for Real-Time Opinion Sharing During Soccer World Cup Games , 2011, Int. J. Mob. Hum. Comput. Interact..

[8]  Niels Henze,et al.  Observational and experimental investigation of typing behaviour using virtual keyboards for mobile devices , 2012, CHI.

[9]  Niels Henze,et al.  Experiments in App Stores - How to Ask Users for their Consent? , 2011 .

[10]  Florian Michahelles,et al.  AppAware: which mobile applications are hot? , 2010, Mobile HCI.

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

[12]  Nuria Oliver,et al.  Understanding mobile web and mobile search use in today's dynamic mobile landscape , 2011, Mobile HCI.

[13]  Jacob O. Wobbrock,et al.  WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry , 2012, CHI.

[14]  Jinwoo Kim,et al.  Use Contexts for the Mobile Internet: A Longitudinal Study Monitoring Actual Use of Mobile Internet Services , 2005, Int. J. Hum. Comput. Interact..

[15]  Johanna D. Moore,et al.  Proceedings of the Conference on Human Factors in Computing Systems , 1989 .

[16]  Virpi Roto,et al.  Web browsing on mobile phones : characteristics of user experience ; Internet-selailu kännykällä - käyttäjäkokemuksen piirteitä , 2009 .

[17]  Alireza Sahami Shirazi,et al.  Insights into layout patterns of mobile user interfaces by an automatic analysis of android apps , 2013, EICS '13.

[18]  Niels Henze,et al.  App stores: external validity for mobile HCI , 2013, INTR.

[19]  Johannes Schöning,et al.  Falling asleep with Angry Birds, Facebook and Kindle: a large scale study on mobile application usage , 2011, Mobile HCI.

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

[21]  Mike Y. Chen,et al.  iRotate: automatic screen rotation based on face orientation , 2012, CHI.

[22]  Matthew Chalmers,et al.  Further into the Wild: Running Worldwide Trials of Mobile Systems , 2010, Pervasive.

[23]  Niels Henze,et al.  My App is an Experiment: Experience from User Studies in Mobile App Stores , 2011, Int. J. Mob. Hum. Comput. Interact..

[24]  Jinwoo Kim,et al.  An empirical study of the use contexts and usability problems in mobile Internet , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[25]  Carol A. Taylor,et al.  Always On: A Framework for Understanding Personal Mobile Web Motivations, Behaviors, and Contexts of Use , 2009, Int. J. Mob. Hum. Comput. Interact..

[26]  Alireza Sahami Shirazi,et al.  Real-time nonverbal opinion sharing through mobile phones during sports events , 2011, CHI.

[27]  Antonio Krüger,et al.  Exploring the Design Space of Context-aware Recommender Systems that Suggest Mobile Applications , 2010 .

[28]  M. Vojnovic On Mobile User Behaviour Patterns , 2008, 2008 IEEE International Zurich Seminar on Communications.

[29]  Virpi Roto,et al.  Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI , 2005, CHI.

[30]  Patrick Losquin,et al.  Gather customer's real usage on mobile phones , 2005, Mobile HCI.

[31]  Ya Xu,et al.  Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices , 2009, WWW '09.

[32]  Matthew Chalmers,et al.  Informed consent and users' attitudes to logging in large scale trials , 2011, CHI EA '11.

[33]  Christopher A. Sanchez,et al.  Turning to learn: Screen orientation and reasoning with small devices , 2011, Comput. Hum. Behav..

[34]  Jukka Häkkinen,et al.  Examining mobile phone text legibility while walking , 2004, CHI EA '04.