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User acceptance of mobile applications WG1/ WWRF24, Penang 12 April 2010 Lene Sørensen and Knud Erik Skouby center for Communication, Media and Information technologies Aalborg University – Copenhagen,
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Mobile applications Games, ringtones, guides etc. Huge developments in mobile applications Creating revenue on the mobile markets Transcending passive mobile entertainment For all phones, but... the i-factor
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Our theme in mobile applications: events Conference events Travelling
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Aim Discuss the concept of user acceptance in relation to 4 selected travel/event mobile applications Based on ongoing work on user acceptance ‘expert’ evaluations’ Preliminary results/ conclusions
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The four applications Amsterdam mobile guide Lonely planet city guide Cph Copenhag en unlike city guide
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The four applications Show the currently most interesting and new thinking possibilities in relation to event services, guides and mobile technology
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User acceptance Key to success for any service provider User acceptance – the willingness of a user group to employ a technology for the task it is designed for (Dillon, 2001) Provides insight into why technologies are adopted or rejected
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User acceptance models Most based on TAM: The Technology Acceptance Model (Davis, 1989) – Perceived usefulness – Perceived ease of use However this model does not introduce social influences – which is important when discussing mobile applications (the cell phone is a social device)
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Kaasinen’s model : User acceptance Perceived ease of use – Referring to the degree in which users find the user of the application free of effort Perceived value/usefulness – Referring to the extend in which users perceive a personal value by using the application Perceived ease of adoption – Referring to the actual “taking into use” of the application, the degree in which the user (actively or passively) employs the application Trust – Referring to various types of privacy and trust, among which we distinguish inter-personal trust and system trust From Nielsen and Pierson (2009)
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Comparing the four applications Perceived ease of use Perceived value/ usefulness Perceived ease of adoption Trust Amsterdam mobile guide High – iPhone app High – for a tourist- pictures, maps, near me, search High- Free download/ GPS traffic ‘Official’ -GPS data –no problems Lonely planet city guide (SF) High – iPhone app however it is a huge application and waiting time may occur High – maps and near by features Medium – complicated / a book in reality – too much waiting time to look up ‘LP-concept’’/ GPS data; no event info –a problem? Roskilde mobile festival guide High – works on many phones – explained to target group High – updated info on music events, interactivity with large screens High –adoption during the festival- free download/ traffic costs High trust – related to event Copenhagen unlike city guide High – iPhone appHigh – for tourists as well as people living in Copenhagen – facts and expert knowledge High – pay for download/ free usage ‘Concept’ / GPS data – probably no problems
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Conclusions The four app’s score high on the acceptance dimensions ‘Expert Evaluation’ ‘Many’ users – limited statistics Trust an issue Several aspects Private data Currently no problems/issues, but potentials for, e.g,, push services
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Conclusions User acceptance high in new mobile event applications Many useful features and with a high level of users using the applications Trust not a current issue but could become an obstacle in the future
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References Crossroads Copenhagen (2009): 6 case studies Nielsen, T. And Pierson, J. (2009): Up for adoption? Paper for the CMI conference 2009, Copenhagen Davis, F.D. (1989): Perceived usefulness, perceived ease of use, and user acceptance of information technology, In: MIS Quarterly, 13, (3), pp. 319 – 340. Kaasinen, E. (2005). User acceptance of mobile services – value, ease of use, trust and ease of adoption, doctoral thesis, VTT Publications
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