The Effect of User Experience Factors of Tablet Devices on Behavioral Intention to Purchase in the Experience Zone

As a place where users experience products and make decisions, the experience zone has become an interesting location. In this research, to analyze user experience (UX) in the experience zone, three user experience factors (readability, mobility and telepresence) and two mediating factors (usability and usefulness) are developed and tested as a user experience model. Also, to predict user behavior, behavioral intention to purchase is added to the model. The model and experiment were constructed to explain how users of a tablet device experience, perceive, and finally, purchase a device via functions and UX factors of the tablet device. To analyze the model, structural equation modeling was used. The results generally supported the suggested model for UX and the experience zone of tablet devices. Empirical and theoretical implications were discussed.

[1]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

[2]  W. Poon,et al.  A study of Web‐based learning (WBL) environment in Malaysia , 2004 .

[3]  Richard H. Hall,et al.  The Effect of Web Page Text-Background Color Combinations on Retention and Perceived Readability, Aesthetics and Behavioral Intention , 2003, AMCIS.

[4]  Younghwa Lee,et al.  Designing usable online stores: A landscape preference perspective , 2009, Inf. Manag..

[5]  Saniye Tugba Bulu,et al.  Place presence, social presence, co-presence, and satisfaction in virtual worlds , 2012, Comput. Educ..

[6]  A. Ant Ozok,et al.  A Comparative Study Between Tablet and Laptop PCs: User Satisfaction and Preferences , 2008, Int. J. Hum. Comput. Interact..

[7]  Matti Rossi,et al.  The Impact of Use Situation and Mobility on the Acceptance of Mobile Ticketing Services , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[8]  Yu-Ru Lin,et al.  Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..

[9]  Matti Rossi,et al.  An empirical investigation of mobile ticketing service adoption in public transportation , 2006, Personal and Ubiquitous Computing.

[10]  Néstor J. Rodríguez,et al.  A usability study of nurses' interaction with tablet PC and PDA nursing documentation applications , 2007 .

[11]  Forbes Gibb,et al.  A user-centred approach to e-book design , 2002, Electron. Libr..

[12]  C. Sørensen,et al.  Expanding the 'mobility' concept , 2001, SIGG.

[13]  Ohbyung Kwon,et al.  An empirical study of the factors affecting social network service use , 2010, Comput. Hum. Behav..

[14]  Jonathan Steuer,et al.  Defining virtual reality: dimensions determining telepresence , 1992 .

[15]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[16]  Ayman E. Khedr,et al.  Investigating Learners' Acceptance of e-Learning Courses Using Adopted Technology Acceptance Model , 2012 .

[17]  LegrisPaul,et al.  Why do people use information technology , 2003 .

[18]  Frank Biocca,et al.  Telepresence via Television: Two Dimensions of Telepresence May Have Different Connections to Memory and Persuasion , 2006, J. Comput. Mediat. Commun..

[19]  Ray Maher,et al.  An architect's view of the station user experience , 2011 .

[20]  Shu-Sheng Liaw,et al.  Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..

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

[22]  Kyu Yon Lim,et al.  Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model , 2011, Comput. Educ..

[23]  Mary C. Dyson,et al.  The legibility of screen formats: are three columns better than one? , 1997, Comput. Graph..

[24]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .

[25]  M. Csíkszentmihályi Finding Flow: The Psychology of Engagement with Everyday Life , 1997 .

[26]  Donna L. Hoffman,et al.  Flow Online: Lessons Learned and Future Prospects , 2009 .

[27]  Philippe Lalanda,et al.  Improving user experience by infusing web technologies into desktops , 2011, OOPSLA Companion.

[28]  Richard E. Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[29]  Barbara S. Chaparro,et al.  Reading Online Text With a Poor Layout: Is Performance Worse? , 2005 .

[30]  A. Fiore,et al.  Effect of image interactivity technology on consumer responses toward the online retailer , 2005 .