A Context-Sensitive Tool to Support Mobile Technology Acceptance Research

Context of usage significantly influences acceptance of mobile apps. State of the art methods of technology acceptance research can assess limited aspects of context. In this paper, we outline the development of a context-sensitive support tool for mobile technology acceptance research. The tool consists of four basic components (a tracking service, a survey service, an analytics tool and external sensor hardware) that collect context data from sensors, built-in data sources and cloud services during real-world usage and connect it to acceptance information tracked on the smart phone and collected in the course of context-adaptive mobile surveys. The system was developed in a co-creation process that involved potential users, i.e. members of the mobile Living Lab in which the tool will be used.

[1]  Neil A. M. Maiden,et al.  Using Mobile RE Tools to Give End-Users Their Own Voice , 2010, 2010 18th IEEE International Requirements Engineering Conference.

[2]  Jan Blom,et al.  Contextual and cultural challenges for user mobility research , 2005, CACM.

[3]  Jan Stage,et al.  New techniques for usability evaluation of mobile systems , 2004, Int. J. Hum. Comput. Stud..

[4]  Andreas Komninos,et al.  Patterns of usage and context in interaction with communication support applications in mobile devices , 2012, Mobile HCI.

[5]  Ying Liu,et al.  Environment Analysis as a Basis for Designing Multimodal and Multidevice User Interfaces , 2010, Hum. Comput. Interact..

[6]  Mark de Reuver,et al.  Should mobile Internet be an extension to the fixed web? Fixed-mobile reinforcement as mediator between context of use and future use , 2013, Telematics Informatics.

[7]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[8]  Shivakant Mishra,et al.  Fusing mobile, sensor, and social data to fully enable context-aware computing , 2010, HotMobile '10.

[9]  Mark D. Dunlop,et al.  Toward a Multidisciplinary Model of Context to Support Context-Aware Computing , 2005, Hum. Comput. Interact..

[10]  Alan R. Hevner,et al.  Introduction to the AIS THCI Special Issue on Design Research in Human-Computer Interaction , 2011 .

[11]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[12]  Detmar W. Straub,et al.  Editor's Comments: Use , 2012 .

[13]  Gaetano Borriello,et al.  Open data kit sensors: a sensor integration framework for android at the application-level , 2012, MobiSys '12.

[14]  Luís Carriço,et al.  Mobile Interaction Design: Techniques for Early Stage In-Situ Design , 2008 .

[15]  Kurt Schneider,et al.  ConTexter feedback system , 2012, 2012 34th International Conference on Software Engineering (ICSE).

[16]  Norbert Seyff,et al.  iRequire: Gathering end-user requirements for new apps , 2011, 2011 IEEE 19th International Requirements Engineering Conference.

[17]  Ofir Turel,et al.  Contextual effects on the usability dimensions of mobile value-added services: a conceptual framework , 2006, Int. J. Mob. Commun..

[18]  Matti Rossi,et al.  The impact of use context on mobile services acceptance: The case of mobile ticketing , 2009, Inf. Manag..

[19]  Satu Jumisko-Pyykkö,et al.  Framing the Context of Use for Mobile HCI , 2010, Int. J. Mob. Hum. Comput. Interact..

[20]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[21]  Wazir Zada Khan,et al.  Mobile Phone Sensing Systems: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[22]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..