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See No Evil, Hear No Evil: How Users Blindly Overrely on Robots with Automation Bias

2023 | International Conference on Information Systems | Citations: 0
Authors: Stock-Homburg, Ruth; Nguyen, Mai Anh

Abstract: Recent developments in generative artificial intelligence show how quickly user ... Expand

Abstract: Recent developments in generative artificial intelligence show how quickly users carelessly adhere to intelligent systems, ignoring systems' vulnerabilities and focusing on their superior capabilities. This is detrimental when system failures are ignored. This paper investigates this mindless overreliance on systems, defined as automation bias (AB), in human-robot interaction. We conducted two experimental studies (N1 = 210, N2 = 438) with social robots in a corporate setting to investigate psychological mechanisms and influencing factors of AB. Particularly, users experience perceptual and behavioral AB with the robot that is enhanced by robot competence depending on task complexity and is even stronger for emotional than analytical tasks. Surprisingly, robot reliability negatively affected AB. We also found a negative indirect-only mediation of AB on robot satisfaction. Finally, we provide implications for the appropriate use of robots to prevent employees from using them as a self-sufficient system instead of a supporting system. Collapse

Semantic filters: theory of technology dominance

Topics: robotic task complexity data quality remote work IT supported collaboration

Methods: experiment survey design experimental group survey parametric test

Theories: uncanny valley theory psychological theory theory of technology dominance
Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment
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2010 | Journal of Management Information Systems | Citations: 27
Authors: Jensen, Matthew L.; Lowry, Paul Benjamin; Burgoon, Judee K.; Nunamaker Jr., Jay F.

Abstract: The article presents the results of an experiment which involved novices and exp ... Expand

Abstract: The article presents the results of an experiment which involved novices and experts using a decision aid to detect deception in a law enforcement scenario. Both groups improved their assessment accuracy using the decision support system, but tended to ignore it when it contradicted them. The professionals often did not even look at the decision aid's reasons for contradicting them. The theory of technology dominance (TTD) is discussed in this context, and it is noted that the experiment's results contradicted TTD in two respects. Collapse

Semantic filters: theory of technology dominance

Topics: decision making task complexity deception detection

Methods: qualitative interview experiment parametric test statistical hypothesis test paired t-test

Theories: theory of technology dominance
The Differential Use and Effect of Knowledge-Based System Explanations in Novice and Expert Judgment Decisions

2006 | Management Information Systems Quarterly | Citations: 0
Authors: Arnold, Vicky; Clark, Nicole; Collier, Philip A.; Leech, Stewart A.; Sutton, Steve G.

Abstract: Explanation facilities are considered essential in facilitating user interaction ... Expand

Abstract: Explanation facilities are considered essential in facilitating user interaction with knowledge-based systems (KBS). Research on explanation provision and the impact on KBS users has shown that the domain expertise affects the type of explanations selected by the user and the basis for seeking such explanations. The prior literature has been limited, however, by the use of simulated KBS that generally provide only feedback explanations (i.e., ex post to the recommendation of the KBS being presented to the user). The purpose of this study is to examine the way users with varying levels of expertise use alternative types of KBS explanations and the impact of that use on decision making. A total of 64 partner/ manager-level and 82 senior/staff-level insolvency professionals participated in an experiment involving the use of a fully functioning KBS to complete a complex judgment task. In addition to feedback explanations, the KBS also provided feedforward explanations (i.e., general explanations during user input about the relationships between information cues in the KBS) and included definition type explanations (i.e., declarative-level knowledge). The results show that users were more likely to adhere to recommendations of the KBS when an explanation facility was available. Choice patterns in using explanations indicated that novices used feedforward explanations more than experts did, while experts were more likely than novices to use feedback explanations. Novices also used more declarative knowledge and initial problem solving type explanations, while experts used more procedural knowledge explanations. Finally, use of feedback explanations led to greater adherence to the KBS recommendation by experts--a condition that was even more prevalent as the use of feedback explanations increased. The results have several implications for the design and use of KBS in a professional decision-making environment. Collapse

Semantic filters: theory of technology dominance

Topics: problem solving decision making knowledge acquisition hypertext usability

Methods: analysis of covariance multivariate analysis of variance parametric test ANOVA experiment

Theories: theory of technology dominance

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See No Evil, Hear No Evil: How Users Blindly Overrely on Robots with Automation Bias

Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment

The Differential Use and Effect of Knowledge-Based System Explanations in Novice and Expert Judgment Decisions