Not all trust is created equal: dispositional and history-based trust in human-automation interactions.
OBJECTIVE
We provide an empirical demonstration of the importance of attending to human user individual differences in examinations of trust and automation use.


BACKGROUND
Past research has generally supported the notions that machine reliability predicts trust in automation, and trust in turn predicts automation use. However, links between user personality and perceptions of the machine with trust in automation have not been empirically established.


METHODS
On our X-ray screening task, 255 students rated trust and made automation use decisions while visually searching for weapons in X-ray images of luggage.


RESULTS
We demonstrate that individual differences affect perceptions of machine characteristics when actual machine characteristics are constant, that perceptions account for 52% of trust variance above the effects of actual characteristics, and that perceptions mediate the effects of actual characteristics on trust. Importantly, we also demonstrate that when administered at different times, the same six trust items reflect two types of trust (dispositional trust and history-based trust) and that these two trust constructs are differentially related to other variables. Interactions were found among user characteristics, machine characteristics, and automation use.


CONCLUSIONS
Our results suggest that increased specificity in the conceptualization and measurement of trust is required, future researchers should assess user perceptions of machine characteristics in addition to actual machine characteristics, and incorporation of user extraversion and propensity to trust machines can increase prediction of automation use decisions.


CONCLUSIONS
Potential applications include the design of flexible automation training programs tailored to individuals who differ in systematic ways.
University of Missouri-St. Louis, USA. merritts@umsl.edu
Stephanie M
SM
Merritt
Daniel R
DR
Ilgen
D000328:Adult; D001331:Automation; D016009:Chi-Square Distribution; D003627:Data Interpretation, Statistical; D003657:Decision Making; D005260:Female; D005389:Firearms; D006801:Humans; D008297:Male; D008328:Man-Machine Systems; D016743:Mental Competency; D010465:Perception; D011859:Radiography / Q000295:instrumentation; D012637:Security Measures; D020377:Self Efficacy; D013647:Task Performance and Analysis; D013997:Time Factors; D035502:Trust