Extending the Technology Acceptance Model to assess automation

Cognition, Technology and Work

Volumn 14, Issue 1, 2012, Pages 39-49

  Ghazizadeh, Mahtab ^a   Lee, John D ^a   Boyle, Linda Ng ^b  

^a University of Wisconsin Madison   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Automation Acceptance Model (AAM); Cognitive engineering; Task technology compatibility; Technology acceptance; Technology Acceptance Model (TAM); Trust in automation

Indexed keywords

AUTOMATION ADOPTION; COAGENCY; COGNITIVE ENGINEERING; HUMAN-AUTOMATION INTERACTIONS; MULTI-LEVEL; TASK-TECHNOLOGY COMPATIBILITY; TECHNOLOGY ACCEPTANCE; TECHNOLOGY ACCEPTANCE MODEL; TECHNOLOGY ACCEPTANCE MODEL (TAM); USER ACCEPTANCE;

MAN MACHINE SYSTEMS; RESEARCH; TECHNOLOGY;

AUTOMATION;

EID: 84856796950     PISSN: 14355558     EISSN: 14355566     Source Type: Journal    
DOI: 10.1007/s10111-011-0194-3     Document Type: Article

References (75)

1. Adamson I, Shine J (2003) Extending the new Technology Acceptance Model to measure the end user information systems satisfaction in a mandatory environment: a bank's treasury. Technol Anal Strateg Manag 15(4): 441-455.
2. Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2): 179-211.
3. Andre AD, Wickens CD (1995) When users want what's not best for them. Ergon Des Q Hum Factors Appl 3(4): 10-14.
4. Bailey RW (1993) Performance versus preference. In: Proceedings of human factors and Ergonomics society 37th annual meeting, pp 282-286.
5. Bajaj A, Nidumolu SR (1998) A feedback model to understand information system usage. Inf Manag 33(4): 213-224.
6. Bernheim BD (1994) A theory of conformity. J Polit Econ 102(5): 841-877.
7. Brown SA, Massey AP, Montoya-Weiss MM, Burkman JR (2002) Do I really have to? user acceptance of mandated technology. Eur J Inf Syst 11(4): 283-295.
8. Carter L, Bélanger F (2005) The utilization of e government services: citizen trust, innovation and acceptance factors. Inf Syst J 15(1): 5-25.
9. Chen CF, Chen PC (2011) Applying the TAM to travelers' usage intentions of GPS devices. Expert Syst Appl 38: 6217-6221.
10. Davis FD (1989) Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q 13: 319-340.
11. Davis FD, Venkatesh V (1996) A critical assessment of potential measurement biases in the Technology Acceptance Model: three experiments. Int J Hum Comput Stud 45(1): 19-45.
12. Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manag Sci 35(8): 982-1003.
13. Dishaw MT, Strong DM (1998) Experience as a moderating variable in a task-technology fit model. In: Proceedings of fourth Americas conference on information systems, pp 722-724.
14. Dishaw MT, Strong DM (1999) Extending the Technology Acceptance Model with task-technology fit constructs. Inf Manag 36(1): 9-21.
15. El Jaafari M, Forzy JF, Navarro J, Mars F, Hoc JM (2008) User acceptance and effectiveness of warning and motor priming assistance devices in car driving. In: Proceedings of European conference on human centred design for intelligent transport systems, pp 311-320.
16. Fishbein M, Ajzen I (1975) Belief, attitude, intention and behavior: an introduction to theory and research. Addison-Wesley, Reading.
17. Flach JM, Vicente KJ, Tanabe F, Monta K, Rasmussen J (1998) An ecological approach to interface design. In: Proceedings of the human factors and Ergonomics society 42nd annual meeting, vol 42, pp 295-299.
18. Fogg BJ, Marshall J, Laraki O, Osipovich A, Varma C, Fang N, Paul J, Rangnekar A, Shon J, Swani P (2001) What makes Web sites credible? A report on a large quantitative study. In: Proceedings of CHI 2001 conference on human factors in computing systems, pp 61-68.
19. Gao J, Lee JD (2006) Extending the decision field theory to model operators' reliance on automation in supervisory control situations. IEEE Trans Syst Man Cybern A Syst Hum 36(5): 943-959.
20. Gao J, Lee JD, Zhang Y (2006) A dynamic model of interaction between reliance on automation and cooperation in multi-operator multi-automation situations. Int J Ind Ergon 36(5): 511-526.
21. Gefen D, Karahanna E, Straub DW (2003) Trust and TAM in online shopping: an integrated model. MIS Q 27(1): 51-90.
22. Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q 19(2): 213-236.
23. Goodrich MA, Boer ER (2003) Model-based human-centered task automation: a case study in ACC system design. IEEE Trans Syst Man Cybern A Syst Hum 33(3): 325-336.
24. Gray WD, Boehm-Davis DA (2000) Milliseconds matter: an introduction to microstrategies and to their use in describing and predicting interactive behavior. J Exp Psychol Appl 6(4): 322.
25. Guinan PJ, Cooprider JG, Sawyer S (2010) The effective use of automated application development tools. IBM Syst J 36(1): 124-139.
26. Hartwick J, Barki H (1994) Explaining the role of user participation in information system use. Manag Sci 40(4): 440-465.
27. Hoc JM (2001) Towards a cognitive approach to human-machine cooperation in dynamic situations. Int J Hum Comput Stud 54(4): 509-540.
28. Hollnagel E, Woods DD (1983) Cognitive systems engineering: new wine in new bottles. Int J Man Mach Stud 18(6): 583-600.
29. Hollnagel E, Woods DD (2005) Joint cognitive systems: foundations of cognitive systems engineering. CRC Press, Boca Raton.
30. Inagaki T (2003) Adaptive automation: sharing and trading of control. Handbook of cognitive task design 147-169.
31. Inagaki T (2006) Design of human-machine interactions in light of domain-dependence of human-centered automation. Cognit Technol Work 8(3): 161-167.
32. Inagaki T, Itoh M, Nagai Y (2007) Support by warning or by action: which is appropriate under mismatches between driver intent and traffic conditions? IEICE Trans Fundam Electron Commun Comput Sci 90(11): 2540.
33. Inagaki T, Itoh M, Nagai Y (2008) Driver support functions under resource-limited situations. J Mech Syst Transp Logist 1(2): 213-222.
34. Jackson CM, Chow S, Leitch RA (1997) Toward an understanding of the behavioral intention to use an information system. Decis Sci 28(2): 357-389.
35. Karahanna E, Straub DW, Chervany NL (1999) Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q 23(2): 183-213.
36. Karahanna E, Agarwal R, Angst CM (2006) Reconceptualizing compatibility beliefs in technology acceptance research. MIS Q 30(4): 781-804.
37. Karvonen K, Parkkinen J (2001) Signs of trust: a semiotic study of trust formation in the Web. In: Smith MJ, Salvendy G, Harris D, Koubek RJ (eds) First international conference on universal Access in human-computer interaction, vol 1. Erlbaum, Mahwah, pp 1076-1080.
38. Kim SS, Malhotra NK (2005) A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Manag Sci 51(5): 741-755.
39. Kim J, Moon JY (1998) Designing towards emotional usability in customer interfaces-trustworthiness of cyber-banking system interfaces. Interact Comput 10(1): 1-29.
40. Kirlik A (1993) Modeling strategic behavior in human-automation interaction: why an "aid" can (and should) go unused. Hum Factors J Hum Fact Ergon Soc 35(2): 221-242.
41. Lee J, Moray N (1992) Trust, control strategies and allocation of function in human-machine systems. Ergonomics 35(10): 1243-1270.
42. Lee JD, Moray N (1994) Trust, self-confidence, and operators' adaptation to automation. Int J Hum Comput Stud 40(1): 153.
43. Lee JD, See KA (2004) Trust in automation: designing for appropriate reliance. Hum Factors J Hum Factors Ergon Soc 46(1): 50.
44. Legris P, Ingham J, Collerette P (2003) Why do people use information technology? a critical review of the Technology Acceptance Model. Inf Manag 40(3): 191-204.
45. Leonard-Barton D (1988) Implementation characteristics of organizational innovations: limits and opportunities for management strategies. Commun Res 15(5): 603-631.
46. Moray N, Inagaki T, Itoh M (2000) Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. J Exp Psychol Appl 6(1): 44.
47. Muir BM (1987) Trust between humans and machines, and the design of decision aids. Int J Man Mach Stud 27(5-6): 527-539.
48. Muir BM, Moray N (1996) Trust in automation: II. Experimental studies of trust and human intervention in a process control simulation. Ergonomics 39(3): 429-460.
49. Navarro J, Mars F, Forzy JF, El-Jaafari M, Hoc JM (2010) Objective and subjective evaluation of motor priming and warning systems applied to lateral control assistance. Accid Anal Prev 42(3): 904-912.
50. Nielsen J, Levy J (1994) Measuring usability: preference versus performance. Commun ACM 37(4): 66-75.
51. Parasuraman R, Riley V (1997) Humans and automation: use, misuse, disuse, abuse. Hum Factors 39(2): 230-253.
52. Parasuraman R, Sheridan TB, Wickens CD (2000) A model for types and levels of human interaction with automation. IEEE Trans Syst Man Cybern A Syst Hum 30(3): 286-297.
53. Parasuraman R, Sheridan TB, Wickens CD (2008) Situation awareness, mental workload, and trust in automation: viable, empirically supported cognitive engineering constructs. J Cognit Eng Decis Mak 2(2): 140-160.
54. Pavlou PA (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the Technology Acceptance Model. Int J Electron Commer 7(3): 101-134.
55. Rawstorne P, Jayasuriya R, Caputi P (1998) An integrative model of information systems use in mandatory environments. In: Proceedings of the nineteenth international conference on information systems, pp 325-330.
56. Reeves B, Nass C (1996) How people treat computers, television and new media like real people and places. Cambridge University Press, New York.
57. Rempel JK, Holmes JG, Zanna MP (1985) Trust in close relationships. J Pers Soc Psychol 49(1): 95-112.
58. Rogers EM (1995) Diffusion of innovations, 4th edn. The Free Press, New York.
59. Roth EM, Bennett KB, Woods DD (1987) Human interaction with an intelligent machine. Int J Man-Mach Stud 27(5-6): 479-525.
60. Rotter JB (1980) Interpersonal trust, trustworthiness, and gullibility. Am Psychol 35(1): 1-7.
61. Rouse WB (1988) Adaptive aiding for human/computer control. Hum Factors J Hum Factors Ergon Soc 30(4): 431-443.
62. Sarter NB, Woods DD, Billings CE (1997) Automation surprises. Handbook Hum Fact Ergon 2: 1926-1943.
63. Scerbo MW (1996) Theoretical perspectives on adaptive automation. In: Parasuraman R, Mouloua M (eds) Automation and human performance: theory and applications. Lawrence Erlbaum Associates, Inc., Mahwah, pp 37-63.
64. Seppelt BD, Lee JD (2007) Making adaptive cruise control (ACC) limits visible. Int J Hum Comput Stud 65(3): 192-205.
65. Sheridan TB (1992) Telerobotics, automation and human supervisory control. The MIT press, Cambridge.
66. Sheridan TB, Verplank WL (1978) Human and computer control of undersea teleoperators. Tech Rep MIT Man-Machine Systems Laboratory, Cambridge, MA.
67. Taylor S, Todd PA (1995) Understanding information technology usage: a test of competing models. Inf Syst Res 6(2): 144-176.
68. Thompson RL, Higgins CA, Howell JM (1994) Influence of experience on personal computer utilization: testing a conceptual model. J Manag Inf Syst 11(1): 167-187.
69. van Der Laan JD, Heino A, De Waard D (1997) A simple procedure for the assessment of acceptance of advanced transport telematics. Transp Res C Emerg Technol 5(1): 1-10.
70. Venkatesh V (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model. Inf Syst Res 11(4): 342-365.
71. Venkatesh V, Davis FD (2000) A theoretical extension of the Technology Acceptance Model: four longitudinal field studies. Manag Sci 46(2): 186-204.
72. Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified view. Inf Manag 27(3): 425-478.
73. Wilkinson R (2011) The many meanings of adoption. In: Pannell D, Vanclay F (eds) Changing land management: adoption of new practices by rural landholders. CSIRO Publishing, Collingwood VIC 3066, Australia, p 39.
74. Xu C, Wang W, Chen J, Wang W, Yang C, Li Z (2010) Analyzing travelers' intention to accept travel information: structural equation modeling. Transp Res Rec J Transp Res Board 2156: 93-110.
75. Yi MY, Jackson JD, Park JS, Probst JC (2006) Understanding information technology acceptance by individual professionals: toward an integrative view. Inf Manag 43(3): 350-363.