Complacency, or sub-optimal monitoring of automation performance, has been cited as a contributing factor in numerous major transportation and medical incidents. Researchers are working to identify individual differences that correlate with complacency as one strategy for preventing complacency-related accidents. is an individual difference reflecting a general tendency to be complacent across a wide variety of situations which is similar to, but distinct from trust.
View Article and Find Full Text PDFObjective: A self-report measure of the perfect automation schema (PAS) is developed and tested.
Background: Researchers have hypothesized that the extent to which users possess a PAS is associated with greater decreases in trust after users encounter automation errors. However, no measure of the PAS currently exists.
Objective: We present alternative operationalizations of trust calibration and examine their associations with predictors and outcomes.
Background: It is thought that trust calibration (correspondence between aid reliability and user trust in the aid) is a key to effective human-automation performance. We propose that calibration can be operationalized in three ways.
Objective: This study is the first to examine the influence of implicit attitudes toward automation on users' trust in automation.
Background: Past empirical work has examined explicit (conscious) influences on user level of trust in automation but has not yet measured implicit influences. We examine concurrent effects of explicit propensity to trust machines and implicit attitudes toward automation on trust in an automated system.
The purpose of this study was to investigate the premise that adolescent perceptions of family caring are a precipitating source of substance use deterrence. More specifically, this study examined the role of family caring on communication of substance use harm and sanctions of use and the effect of these on peer substance involvement and individual use outcomes. A sample of rural dwelling African American and White 7th and 8th grade students (N = 1780) was assessed through self-report.
View Article and Find Full Text PDFObjective: This study contributes to the literature on automation reliance by illuminating the influences of user moods and emotions on reliance on automated systems.
Background: Past work has focused predominantly on cognitive and attitudinal variables, such as perceived machine reliability and trust. However, recent work on human decision making suggests that affective variables (i.
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.