Technology Acceptance Model for the Use of Tablet PCs

Tablet personal computers (tablet PCs) are popular electronic devices worldwide. They influence many aspects of our social lives. Compared with laptop computers, tablet PCs feature characteristics including enhanced portability and display quality. The purposes of this study were to examine users’ attitudes toward tablet personal computers and identify the effects of external factors. This study extended the technology acceptance model and used perceived mobility and viewing experience as the external variables in the proposed model. This study used a web-based survey of 511 participants and found that perceived usefulness and perceived ease of use were key determinants of attitude toward tablet personal computers. Also, the perceived ease of use and usefulness of tablet PCs were significantly enhanced by perceived mobility and viewing experience. In addition, all traditional relationships from the origin technology acceptance model were supported. Lastly, both implications of the study and areas of future research are discussed.

[1]  Russell Beale,et al.  A technical review of mobile computational devices , 2003, J. Comput. Assist. Learn..

[2]  Tanzila Saba,et al.  Implications of E-learning systems and self-efficiency on students outcomes: a model approach , 2012, Human-centric Computing and Information Sciences.

[3]  Jinhai Cai,et al.  Handwriting Recognition , 2003 .

[4]  Danielle Mirliss,et al.  The Tablet PC For Faculty: A Pilot Project , 2006, J. Educ. Technol. Soc..

[5]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[6]  Angel P. del Pobil,et al.  Extending the technology acceptance model in remote pointing technology: identifying the role of perceived mobility and control , 2013 .

[7]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[8]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[9]  Andrew Sears,et al.  Data entry for mobile devices: an empirical comparison of novice performance with Jot and Graffiti , 2002, Interact. Comput..

[10]  Magid Igbaria,et al.  The effects of self-efficacy on computer usage , 1995 .

[11]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[12]  S. Shyam Sundar,et al.  Does Panel Type Matter for LCD Monitors? A Study Examining the Effects of S-IPS, S-PVA, and TN Panels in Video Gaming and Movie Viewing , 2011, INTERACT.

[13]  Malu Roldan,et al.  Toward Third Generation Threaded Discussions for Mobile Learning: Opportunities and Challenges for Ubiquitous Collaborative Environments , 2005, Inf. Syst. Frontiers.

[14]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[15]  Kentaro Go,et al.  Arranging touch screen software keyboard split-keys based on contact surface , 2010, CHI EA '10.

[16]  David Schroeder.  Tablet PCs and Collaboration Software Improve Classroom Engagement at Cabrillo High School , 2004 .

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

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

[19]  S. Shyam Sundar,et al.  The effects of screen-size and communication modality on psychology of mobile device users , 2011, CHI Extended Abstracts.

[20]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[21]  Timothy Teo.  Establishing Gender Structural Invariance of Technology Acceptance Model (TAM) , 2010 .

[22]  Gary Garrison,et al.  Investigating mobile wireless technology adoption: An extension of the technology acceptance model , 2009, Inf. Syst. Frontiers.

[23]  James A. Pittman,et al.  Handwriting Recognition: Tablet PC Text Input , 2007, Computer.

[24]  Robert Yu-Liang Ting,et al.  Mobile learning: current trend and future challenges , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[25]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[26]  Eunil Park,et al.  User acceptance of long-term evolution (LTE) services: An application of extended technology acceptance model , 2013, Program.

[27]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[28]  Irwin Brown,et al.  Exploring Differences in Internet Adoption and Usage between Historically Advantaged and Disadvantaged Groups in South Africa , 2003 .

[29]  G. Leder,et al.  Student Views of Computer-Based Mathematics in the Middle Years: Does Gender Make a Difference? , 2004 .

[30]  Jiayin Qi,et al.  An extension of technology acceptance model: Analysis of the adoption of mobile data services in China , 2009 .

[31]  E. Rogers.  Diffusion of Innovations , 1962 .

[32]  Teruhiko Teraoka,et al.  Organization and exploration of heterogeneous personal data collected in daily life , 2012, Human-centric Computing and Information Sciences.

[33]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

[34]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[35]  Wanmin Wu,et al.  Quality of experience evaluation of voice communication: an affect-based approach , 2011, Human-centric Computing and Information Sciences.