Driver acceptance of car navigation systems: Integration of locational accuracy, processing speed, and service and display quality with technology acceptance model

Personal and Ubiquitous Computing

Volumn 18, Issue 3, 2014, Pages 503-513

  Park, Eunil ^a   Kim, Ki Joon ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Sungkyunkwan University   (South Korea)

Author keywords

Car navigation system; Perceived locational accuracy; Processing speed; Satisfaction; System and display quality; Technology acceptance model

Indexed keywords

EID: 84894761350     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00779-013-0670-2     Document Type: Article

References (50)

1. Magnusson C, Rassmus-Grohn K, Szymczak D (2012) Navigation by pointing to GPS locations. Pers Ubiquit Comput 16:959-971
2. Kawasaki H, Murao M, Ikeuchi K, Sakauchi M (2001) Enhanced navigation system with real images and real-time information. In: Proceedings of the 8th world congress on intelligent transport systems (ITSWC'01), pp 221-228
3. Kupper A (2005) Location-based services. Willey, Chichester
4. Nobuyuki K, Tomohiro Y, Osamu S, Andrew L (2000) A driver behavior recognition method based on a driver model framework. SAE Trans 109:469-476
5. Park E, Kim KJ, del Pobil AP (2013) An examination of psychological factors affecting drivers' perceptions and attitudes toward car navigation systems. Lect Notes Electr Eng 215:555-562
6. Skog I, Handel P (2009) In-car positioning and navigation technologies - a survey. IEEE T Intell Transp 10:4-21
7. Fujii S, Garling T, Kitamura R (2001) Changes in drivers' perceptions and use of public transport during a freeway closure: effects of temporary structural change on cooperation in a real-life social dilemma. Environ Behav 33:796-808
8. Narzt W, Pomberger G, Ferscha A, Kolb D, Müller R, Wieghardt J, Hörtner H, Lindinger C (2004) A new visualization concept for navigation systems. Lect Notes Comput Sci 3196:440-451
9. Gilliéron PY, Merminod B (2003) Personal navigation system for indoor application. In: Proceedings of the 11th IAIN world congress, pp 1-15
10. Schiller J, Voisard A (2004) Location-based services. Elsevier, San Francisco, CA
11. Ariyoshi H, Iwaskaki A, Sugihara T, Ohe H, Sakamoto M (1988) Car navigation system. NEC Tech J 41:149-159
12. Robertson D, Cipolla R (2004) An image-based system for urban navigation. In: Proceedings of the 15th British machine vision conference (BMVC'04). Kingston-upon-Thames, UK, pp 819-828
13. Autos.ca (2011) Product review: five in-car navigation systems. http://www.autos.ca/auto-articles/product-review-five-in-car-navigation-systems. Accessed 1 Mar 2013
14. Korean Police Agency (2008) Efficient plans for providing police traffic information service. http://www.prism.go.kr/homepage/researchCommon/ retrieveResearchDetailPopup.do?research-id=1320000-200800027. Accessed 1 Mar 2013
15. Davis FD (1989) Perceived usefulness, perceived ease of use, user acceptance of information technology. MIS Q 13:319-340
16. Davis FD (1993) User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int J Man Mach Stud 38:475-487
17. Paay J, Kjeldskov J (2005) Understanding and modelling built environments for mobile guide interface design. Behav Inform Technol 24:21-35
18. Eriksson N, Strandvik P (2009) Possible determinants affecting the use of mobile tourism services. Commun Comput Inf Sci 48:61-73
19. Park E, Kim KJ, Jin D, del Pobil AP (2012) Towards a successful mobile map service: an empirical examination of technology acceptance model. Commun Comput Inf Sci 293:420-428
20. Adell E (2010) Acceptance of driver support systems. http://www. conference2010.humanist-vce.eu/document/Proceedings/6-Adell.pdf. Accessed 1 Mar 2013
21. Meschtscherjakov A, Wilfinger D, Scherndl T, Tscheligi M (2009) Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour. In: Kern D, Schmidt A (eds) Proceedings of the 1st international conference on automotive user interfaces and interactive vehicular applications (AutomotiveUI'09). ACM Press, New York. NY, pp 81-88
22. Cheong JH, Park MC (2005) Mobile internet acceptance in Korea. Internet Res 15:125-140
23. Heijden H (2004) User acceptance of hedonic information systems. MIS Q 23:695-704
24. DeLone WH, McLean ER (1992) Information systems success: the quest for the dependent variable. Inform Syst Res 3:60-95
25. Ahn T, Ryu S, Han I (2004) The impact of the online and offline features on the user acceptance of Internet shopping malls. Electron Commer Res Appl 3:405-420
26. Ha S, Stoel L (2009) Consumer e-shopping acceptance: antecedents in a technology acceptance model. J Bus Res 62:565-571
27. Lee GG, Lin HF (2005) Customer perceptions of e-service quality in online shopping. Int J Retail Distrib Manag 33:161-176
28. Shih H (2004) An empirical study on predicting user acceptance of e-shopping on the Web. Inform Manage 41:351-368
29. Tan FB, Chou JPC (2008) The relationship between mobile service quality, perceived technology compatibility, users' perceived playfulness in the context of mobile information and entertainment services. Int J Hum Comput Int 24:649-671
30. Wixon BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Inform Syst Res 16:85-102
31. Lin JSC, Hsieh P (2006) The role of technology readiness in customers' perception and adoption of self-service technologies. Int J Serv Ind Manag 17:497-517
32. Kim KJ, Sundar SS, Park E (2011) The effects of screen-size and communication modality on psychology of mobile device users. In: Proceedings of CHI EA'11. ACM Press, New York, NY, pp 1207-1212
33. Park E, del Pobil AP (2012) Modeling the user acceptance of long-term evolution (LTE) services. Ann Telecommun. doi: 10.1007/s12243-012-0324-9
34. Buss DB (1987) Selection, evocation and manipulation. J Pers Soc Psychol 53:1214-1221
35. Pagani M (2006) Determinants of adoption of high speed data services in the business market: evidence for a combined technology acceptance model with task technology fit model. Inform Manage 43:847-860
36. Yoo B, Donthu N (2001) Developing a scale to measure the perceived quality of an Internet shopping site (Sitequal). Q J Electron Commer 2:31-46
37. Lee S (2009) Mobile internet services from consumers' perspectives. Int J Hum Comput Int 25:390-413
38. Park E, del Pobil AP (2013) Users' attitudes toward service robots in South Korea. Ind Robot 40:77-87
39. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46:186-204
40. Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103:411-423
41. Hair JF, Black WC, Babin BJ, Anderson RE (2006) Multivariate data analysis. Prentice Hall, Upper Saddle River, NJ
42. Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 8:39-50
43. Park E, Kim KJ (2013) User acceptance of long-term evolution (LTE) services: an application of extended technology acceptance model. Program-Electron Lib 47:188-205
44. Hong W, Thong JYL, Wong WM, Tam KY (2001) Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. J Manage Inform Syst 18:97-124
45. Venkatesh V (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, emotion into the technology acceptance model. Inform Syst Res 11:342-365
46. Koivumaki T, Ristola A, Kesti M (2008) The perceptions towards mobile services: an empirical analysis of the role of use facilitators. Pers Ubiquit Comput 12:67-75
47. Mallat N, Rossi M, Tuunainen VK, Oorni A (2008) An empirical investigation of mobile ticketing service adoption in public transportation. Pers Ubiquit Comput 12:57-65
48. Wong YK, Hsu CJ (2008) A confidence-based framework for business to consumer (B2C) mobile commerce adoption. Pers Ubiquit Comput 12:77-84
49. Aboelmaged MG (2010) Predicting e-procurement adoption in a developing country: an empirical integration of technology acceptance model and theory of planned behavior. Ind Manage Data Syst 110:392-414
50. Fusilier M, Durlabhji S, Cucchi A (2008) An investigation of the integrated model of user technology acceptance: internet user samples in four countries. J Educ Comput Res 38:155-182