Age differences in trust and reliance of a medication management system

The present study examined age differences in trust and reliance of an automated decision aid. In Experiment 1, older and younger participants performed a simple mathematical task concurrent with a simulated medication management task. The decision aid was designed to facilitate medication management, but with varying reliability. Trust, self-confidence and usage of the aid were measured. The results indicated that older adults had greater trust in the aid and were less confident in their performance, but they did not calibrate trust differently than younger adults. In Experiment 2, a variant of the same task was used to investigate whether older adults are subject to over-reliance on the automation. Differences in omission and commission errors were examined. The results indicated that older adults were more reliant on the decision aid and committed more automation-related errors. A signal detection analyses indicated that older adults were less sensitive to automation failures. Results are discussed with respect to the perceptual and cognitive factors that influence age differences in the use of fallible automation.

[1]  Toshiyuki Inagaki,et al.  Attention and complacency , 2000 .

[2]  John D. Lee,et al.  ADVANCED TRAVELER INFORMATION SYSTEMS AND COMMERCIAL VEHICLE OPERATIONS COMPONENTS OF THE INTELLIGENT TRANSPORTATION SYSTEMS: DESIGN ALTERNATIVES FOR IN-VEHICLE INFORMATION DISPLAYS , 1997 .

[3]  Makoto Itoh,et al.  Trust in and use of automation: their dependence on occurrence patterns of malfunctions , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[4]  Raja Parasuraman,et al.  Automation-Related “Complacency”: Theory, Empirical Data, and Design Implications , 2001 .

[5]  Raja Parasuraman,et al.  Automation- Induced "Complacency": Development of the Complacency-Potential Rating Scale , 1993 .

[6]  Anthony J. Masalonis,et al.  Effects of situation-specific reliability on trust and usage of automated decision aids (decision support) , 2000 .

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

[8]  Yiwei Chen,et al.  AGE DIFFERENCES IN FINANCIAL DECISION-MAKING: USING SIMPLE HEURISTICS , 2003 .

[9]  William B. Rouse,et al.  Human Detection and Diagnosis of System Failures , 1981 .

[10]  N Moray,et al.  Trust, control strategies and allocation of function in human-machine systems. , 1992, Ergonomics.

[11]  Raja Parasuraman,et al.  Performance Consequences of Automation-Induced 'Complacency' , 1993 .

[12]  Roy Rada,et al.  Interacting WITH Computers , 1989, Interact. Comput..

[13]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[14]  Mustapha Mouloua,et al.  Automation Technology and Human Performance: Current Research and Trends , 1999 .

[15]  R. Parasuraman,et al.  Effects of Variable-Priority Training on Automation-Related Complacency: Performance and Eye Movements , 2000 .

[16]  E. Mullet,et al.  Aging and Probabilistic Learning in Single- and Multiple-Cue Tasks , 2004, Experimental aging research.

[17]  Bonnie M. Muir,et al.  Trust in automation. I: Theoretical issues in the study of trust and human intervention in automated systems , 1994 .

[18]  Deborah A. Boehm-Davis,et al.  Effects of Age and Congestion Information Accuracy of Advanced Traveler Information Systems on User Trust and Compliance , 1998 .

[19]  A. M. Rich,et al.  Automated diagnostic aids: The effects of aid reliability on users' trust and reliance , 2001 .

[20]  Mustapha Mouloua,et al.  Automation and Human Performance : Theory and Applications , 1996 .

[21]  V Taipale,et al.  Gerontechnology. A sustainable investment in the future. , 1998, Studies in health technology and informatics.

[22]  Clifford Nass,et al.  Thank you, I did not see that: in-car speech based information systems for older adults , 2005, CHI Extended Abstracts.

[23]  A. J. Sanford,et al.  The concept of general experience: age and strategies in guessing future events. , 1973 .

[24]  J. G. Holmes,et al.  Trust in close relationships. , 1985 .

[25]  N. Moray,et al.  Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation. , 1996, Ergonomics.

[26]  Sara J. Czaja Using technologies to aid the performance of home tasks. , 1997 .

[27]  Victor A. Riley,et al.  Operator reliance on automation: Theory and data. , 1996 .

[28]  Neville Moray The Role of Attention in the Detection of Errors and the Diagnosis of Failures in Man-Machine Systems , 1981 .

[29]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[30]  John F. Larish,et al.  Training for attentional control in dual task settings: A comparison of young and old adults , 1995 .

[31]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[32]  S Lewandowsky,et al.  The dynamics of trust: comparing humans to automation. , 2000, Journal of experimental psychology. Applied.

[33]  M. M. Johnson,et al.  Age differences in decision making: a process methodology for examining strategic information processing. , 1990, Journal of gerontology.

[34]  Kathleen L. Mosier,et al.  Does automation bias decision-making? , 1999, Int. J. Hum. Comput. Stud..

[35]  P. Hancock,et al.  Human Mental Workload , 1988 .

[36]  N. Moray,et al.  Adaptive automation, trust, and self-confidence in fault management of time-critical tasks. , 2000, Journal of experimental psychology. Applied.

[37]  Mustapha Mouloua,et al.  Effects of Adaptive Task Allocation on Monitoring of Automated Systems , 1996, Hum. Factors.

[38]  John D. Lee,et al.  Trust, self-confidence, and operators' adaptation to automation , 1994, Int. J. Hum. Comput. Stud..

[39]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004 .

[40]  E. G. Lyman,et al.  NASA aviation safety reporting system , 1976 .

[41]  A. J. Sanford,et al.  Adult age differences in multi‐source selection behaviour with partially predictable signals , 1980 .

[42]  Bonnie M. Muir,et al.  Trust Between Humans and Machines, and the Design of Decision Aids , 1987, Int. J. Man Mach. Stud..

[43]  Neil Charness,et al.  Communication, technology and aging : opportunities and challenges for the future , 2001 .

[44]  D. Wechsler Wechsler Adult Intelligence Scale , 2021, Encyclopedia of Evolutionary Psychological Science.

[45]  Jack Botwinick,et al.  Aging and behavior;: A comprehensive integration of research findings , 1973 .

[46]  M. Folstein,et al.  Population-based norms for the Mini-Mental State Examination by age and educational level. , 1993, JAMA.

[47]  A. Fisk,et al.  Reliability and Age-Related Effects on Trust and Reliance of a Decision Support Aid , 2004 .

[48]  R. Heinssen,et al.  Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale , 1987 .

[49]  Arthur D. Fisk,et al.  Handbook of human factors and the older adult , 1997 .

[50]  H Bouma Gerontechnology: emerging technologies and their impact on aging in society. , 1998, Studies in health technology and informatics.