Sage Journals: Discover world-class research

Abstract

People regularly interact with automation to make decisions. Research shows that reliance on recommendations can depend on user trust in the decision support system (DSS), the source of information (i.e. human or automation), and situational stress. This study explored how information source and stress affect trust and reliance on a DSS used in a baggage scanning task. A preliminary sample of sixty-one participants were given descriptions for a DSS and reported trust before and after interaction. The DSS gave explicit recommendations when activated and participants could choose to rely or reject the choice. Results revealed a bias towards self-reliance and a negative influence of stress on trust, particularly for participants receiving help from automation. Controlling for perceived reliability may have eliminated trust biases prior to interaction, while stress may have influenced trust during the task. Future research should address potential differences in task motivation and include physiological measures of stress.

Get full access to this article

View all access options for this article.

References

Chavaillaz

Schwaninger

Michel

Sauer

(2019). Expertise, automation and trust in X-ray screening of cabin baggage. Frontiers in Psychology, 10:256.

Coan

J. A.

Allen

J. J.

(Eds.). (2007). Handbook of Emotion Elicitation and Assessment. Oxford university press.

Dunn

J. R.

Schweitzer

M. E.

(2005). Feeling and believing. Journal of Personality and Social Psychology, 88(5), 736-748.

Dzindolet

M. T.

Pierce

L. G.

Beck

H. P.

Dawe

L. A.

(2002). The perceived utility of human and automated aids in a visual detection task. Human Factors: The Journal of the Human Factors and Ergonomics Society, 44(1), 79-94.

Hart

S. G.

Staveland

L. E.

(1988) Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Hancock

P. A.

Meshkati

. (Eds.) Human Mental Workload. Amsterdam: North Holland Press.

Hoff

Bashir

(2013). A theoretical model for trust in automated systems. CHI 2013: Changing Perspectives, Paris, France, April 22-May 2. 115-120.

Wang

Pang

Guo

(2015). The effect of emotion and time pressure on risk decision-making. Journal of Risk Research, 18(5), 637-650.

Jiun-Yin

Jian

Bisantz

A. M.

Drury

C. G

. (2000). Foundations for an empirically determined scale of trust in automated system. International Journal of Cognitive Ergonomics, 4(1), 53.

Kahneman

Tversky

(1979). Prospect theory. Econometrica, 47(2), 263-291.

10.

Lee

J. D.

See

K. A.

(2004). Trust in automation: Designing for appropriate reliance. Human Factors: The Journal of Human Factors and Ergonomics Society, 46(1), 50-80.

11.

Lyons

J. B.

Stokes

C. K.

(2012). Human–Human reliance in the context of automation. Human Factors: The Journal of Human Factors and Ergonomics Society, 54(1), 112-121.

12.

Madhavan

Wiegmann

D. A.

(2007a). Effects of information source, pedigree, and reliability on operator interaction with decision support systems. Human Factors, 49(5), 773–785.

13.

Madhavan

Wiegmann

D. A.

(2007b). Similarities and differences between human-human and human-automation trust: An integrative review. Theoretical Issues in Ergonomics Science, 8(4), 277-301.

14.

Mather

Lighthall

N. R.

(2012). Risk and reward are processed differently in decisions made under stress. Current Directions in Psychological Science, 21(1), 36-41.

15.

Merritt

S. M.

(2011). Affective processes in Human–Automation interactions. Human Factors: The Journal of Human Factors and Ergonomics Society, 53(4), 356-370.

16.

Parasuraman

Sheridan

T. B.

Wickens

C. D.

(2000). A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(3), 286-297.

17.

Pearson

(2019). How cognitive risk types influence trust and reliance across automation stages (Unpublished doctoral dissertation, North Carolina State University, Raleigh, USA).

18.

Pearson

C. J.

Geden

Mayhorn

C. B.

(2019). Who’s the real expert here? Pedigree’s unique bias on trust between human and automated advisors. Applied Ergonomics, 81.

19.

Satterfield

Baldwin

de Visser

Shaw

(2017). The influence of risky conditions in trust in autonomous systems. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), 324-328.

20.

Svenson

Maule

A. J.

(1993). Time pressure and stress in human judgment and decision making. New York: Plenum Press.

21.

van Harreveld

Wagenmakers

E.-J

van der Maas

H. L. J

. (2007) The effects of time pressure on chess skill: an investigation into fast and slow processes underlying expert performance. Psychological Research, 71, 591-597.

Influences of Stress on Interactions with Decision Support

Abstract

Get full access to this article

References