Predicting information technology usage in the car: towards a car technology acceptance model

This paper is aimed at studying information technology acceptance in an automotive context. Most models of technology acceptance focus on barriers of successful information technology implementation in organizations, while factors that take the contextual situation into account are neglected. We address this issue through deriving context-related determinants from an extensive literature review and a content analysis, and we further describe a technology acceptance modeling process to provide an explanation for drivers' acceptance of in-car technology. Based on our evaluation we take the determinants safety and anxiety into consideration, and propose a theoretical car technology acceptance model (CTAM) by incorporating these determinants into the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Our modeling approach and proposed questionnaire support decision processes regarding in-vehicle information system implementation in the automotive industry as well as behavior prediction for research purposes.

[1]  C. Spielberger,et al.  STAI manual for the State-trait anxiety inventory ("self-evaluation questionnaire") , 1970 .

[2]  Richard J. Hanowski,et al.  Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings , 1997, Hum. Factors.

[3]  Erik Lindberg,et al.  PERCEIVED RISK, FEELINGS OF SAFETY AND WORRY ASSOCIATED WITH DIFFERENT TRAVEL MODES. PILOT STUDY , 2000 .

[4]  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.

[5]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[6]  A. Ohman Fear and anxiety : Evolutionary, cognitive and clinical perspectives , 1993 .

[7]  Chris Sauer,et al.  Why information systems fail: a case study approach , 1993 .

[8]  R Banuls Eseda,et al.  DIFFERENT EMOTIONAL RESPONSES IN NOVICE AND PROFESSIONAL DRIVERS , 1997 .

[9]  Colleen J. Heffernan Social foundations of thought and action: A social cognitive theory ,Bandura AlbertEnglewood Cliffs, New Jersey:Prentice Hall,1986, xiii +617 pp. Hardback. US$39.50. , 1988 .

[10]  Jolieke Mesken,et al.  Measuring emotions in traffic , 2002 .

[11]  Clifford Nass,et al.  Improving automotive safety by pairing driver emotion and car voice emotion , 2005, CHI Extended Abstracts.

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

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

[14]  MOOD AND DRIVING: IS THERE AN EFFECT OF AFFECT? , 1997 .

[15]  Manfred Tscheligi,et al.  Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour , 2009, AutomotiveUI.

[16]  Dick de Waard,et al.  A simple procedure for the assessment of acceptance of advanced transport telematics , 1997 .

[17]  Manfred Tscheligi,et al.  Capture the car!: qualitative in-situ methods to grasp the automotive context , 2011, AutomotiveUI.

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

[19]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[20]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[21]  Björn W. Schuller,et al.  Emotion on the Road - Necessity, Acceptance, and Feasibility of Affective Computing in the Car , 2010, Adv. Hum. Comput. Interact..

[22]  Angelos Amditis,et al.  Perceptions of Risk and Control: Understanding Acceptance of Advanced Driver Assistance Systems , 2009, IFIP TC13 International Conference on Human-Computer Interaction.

[23]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[24]  Manfred Tscheligi,et al.  Interacting with the Steering Wheel: Potential Reductions in Driver Distraction , 2011, AmI.

[25]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[26]  Clifford Nass,et al.  Driver safety and information from afar: An experimental driving simulator study of wireless vs. in-car information services , 2008, Int. J. Hum. Comput. Stud..

[27]  Glenn Lowry,et al.  Translation and Validation of the Technology Acceptance Model and Instrument for Use in the Arab World , 2004 .

[28]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..