{"title":"Trusting under risk – comparing human to AI decision support agents","authors":"Hannah Fahnenstich , Tobias Rieger , Eileen Roesler","doi":"10.1016/j.chb.2023.108107","DOIUrl":null,"url":null,"abstract":"<div><p>The growing number of safety-critical technologized workplaces leads to enhanced support of complex human decision-making by artificial intelligence (AI), increasing the relevance of risk in the joint decision process. This online study examined participants' trust, attitude and behavior during a visual estimation task supported by either a human or an AI decision support agent. Throughout the online studyrisk levels were manipulated through different scenarios. Contrary to recent literature, no main effects were found in participants' trust attitude or trust behavior between support agent conditions or risk levels. However, participants using AI support exhibited increased trust behavior under higher risk, while participants with human support agents did not display behavioral differences. Self-confidence vs. trust and an increased feeling of responsibility may be possible reasons. Furthermore, participants reported the human support agent to be more responsible for possible negative outcomes of the joint task than the AI support agent. Hereby, risk did not influence perceived responsibility. However, the study's findings concerning trust behavior underscore the crucial importance of investigating the impact of risk in workplaces, shedding light on the under-researched effect of risk on trust attitude and behavior in AI-supported human decision-making.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"153 ","pages":"Article 108107"},"PeriodicalIF":9.0000,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563223004582","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
The growing number of safety-critical technologized workplaces leads to enhanced support of complex human decision-making by artificial intelligence (AI), increasing the relevance of risk in the joint decision process. This online study examined participants' trust, attitude and behavior during a visual estimation task supported by either a human or an AI decision support agent. Throughout the online studyrisk levels were manipulated through different scenarios. Contrary to recent literature, no main effects were found in participants' trust attitude or trust behavior between support agent conditions or risk levels. However, participants using AI support exhibited increased trust behavior under higher risk, while participants with human support agents did not display behavioral differences. Self-confidence vs. trust and an increased feeling of responsibility may be possible reasons. Furthermore, participants reported the human support agent to be more responsible for possible negative outcomes of the joint task than the AI support agent. Hereby, risk did not influence perceived responsibility. However, the study's findings concerning trust behavior underscore the crucial importance of investigating the impact of risk in workplaces, shedding light on the under-researched effect of risk on trust attitude and behavior in AI-supported human decision-making.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.