TECHNOLOGY Acceptance MODEL FOR Mobile Services AS A DESIGN FRAMEWORK

Personal mobile devices are increasingly being used as platforms for interactive services. Ease of use is important, but the services should also provide clear value to the user and they should be trustworthy and easy to adopt. These user acceptance factors form the core of the Technology Acceptance Model for Mobile Services introduced in this chapter. The model has been set up based on field trials of several mobile services with altogether more than 200 test users. This chapter presents the technology acceptance model and describes four case studies of applying the model in practice as a design and evaluation framework. DOI: 10.4018/978-1-60960-499-8.ch005

[1]  Eija Kaasinen,et al.  User acceptance of location-aware mobile guides based on seven field studies , 2005, Behav. Inf. Technol..

[2]  Keng Siau,et al.  The value of mobile applications: a utility company study , 2005, CACM.

[3]  Andreas Mitrakas Policy-Driven Signing Frameworks in Open Electronic Transactions , 2004 .

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

[5]  Abigail Sellen,et al.  Security and Trust in Mobile Interactions: A Study of Users' Perceptions and Reasoning , 2004, UbiComp.

[6]  Ilkka Korhonen,et al.  Mobile Diary for Wellness Management—Results on Usage and Usability in Two User Studies , 2008, IEEE Transactions on Information Technology in Biomedicine.

[7]  Andrew Gemino,et al.  Evaluating modeling techniques based on models of learning , 2003, CACM.

[8]  Georgios I. Doukidis,et al.  Social and economic transformation in the digital era , 2003 .

[9]  Karina Funk Networking for sustainable development: innovative approaches outside the “Global Village” , 2000 .

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

[11]  Bernt Schiele,et al.  Evaluating the Effects of Displaying Uncertainty in Context-Aware Applications , 2004, UbiComp.

[12]  Fred D. Davis,et al.  Toward preprototype user acceptance testing of new information systems: implications for software project management , 2004, IEEE Transactions on Engineering Management.

[13]  Detmar W. Straub,et al.  Inexperience and experience with online stores: the importance of TAM and trust , 2003, IEEE Trans. Engineering Management.

[14]  Miguel Angel Santiago,et al.  Ubimedia based on readable and writable memory tags , 2010, Multimedia Systems.

[15]  Austin Henderson The innovation pipeline: design collaborations between research and development , 2005, INTR.

[16]  Timo Laakko,et al.  Two approaches to bringing Internet services to WAP devices , 2000, Comput. Networks.

[17]  Sirkka L. Jarvenpaa,et al.  Mobile commerce at crossroads , 2003, CACM.

[18]  Michael J. Pazzani,et al.  Adaptive interfaces for ubiquitous web access , 2002, CACM.

[19]  B. J. Fogg,et al.  The elements of computer credibility , 1999, CHI '99.

[20]  O. Petrovic,et al.  Development of technology acceptance research for mobile services , 2010, The 33rd International Convention MIPRO.

[21]  Stuart J. Barnes,et al.  Rising sun: iMode and the wireless Internet , 2003, CACM.

[22]  Barry W. Boehm,et al.  Value-based software engineering: reinventing , 2003, SOEN.

[23]  Elisabeth Platzer,et al.  A Critical Review of User Acceptance Research in the Area of Mobile Services , 2009 .

[24]  Wynne W. Chin,et al.  Extending the technology acceptance model: the influence of perceived user resources , 2001, DATB.

[25]  Lei-da Chen,et al.  Consumer acceptance of virtual stores: a theoretical model and critical success factors for virtual stores , 2004, DATB.

[26]  Timo Laakko,et al.  Mobile-transparent access to web services - acceptance of users and service providers , 2002 .

[27]  Gilbert Cockton,et al.  Value-centred HCI , 2004, NordiCHI '04.

[28]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

[29]  Suprateek Sarker,et al.  Understanding mobile handheld device use and adoption , 2003, CACM.

[30]  Mark D. Dunlop,et al.  The Challenge of Mobile Devices for Human Computer Interaction , 2002, Personal and Ubiquitous Computing.

[31]  Eija Kaasinen,et al.  User needs for location-aware mobile services , 2003, Personal and Ubiquitous Computing.

[32]  Virpi Oksman,et al.  User acceptance of mobile TV services , 2009, Mobile HCI.

[33]  Aino Ahtinen,et al.  User experiences of mobile wellness applications in health promotion: User study of Wellness Diary, Mobile Coach and SelfRelax , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[34]  Lorrie Faith Cranor,et al.  Who's Viewed You? The Impact of Feedback in a mobile location Sharing System , 2009 .

[35]  Jing Zhang,et al.  Empirical Research on User Acceptance of Mobile Searches , 2010 .

[36]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[37]  V. Ermolov,et al.  Identifying User Requirements for a Mobile Terminal Centric Ubiquitous Computing Architecture , 2006, 2006 International Workshop on System Support for Future Mobile Computing Applications.