Foundations for an Empirically Determined Scale of Trust in Automated Systems

By Mark R. Lehto, T. House, J. Papastavrou. 2000

1,080 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Radiological and Ultrasound Technology, Statistics and Probability

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…and Beck, 2003; Dzindolet, Pierce, Pomranky, Peterson, and Beck, 2001; Hancock et al., 2011; Hoffman, Klein, and Miller, 2011; Hoffman, 2017a; Jian, Bisantz, and Drury, 1998, 2000; Johnson, 2007; Koustanai, Mas, Cavallo, and Delhomme, 2010; Lee and Moray, 1994; Lee and See, 2004; Llinas,…”
Metrics for Explainable AI: Challenges and Prospects (2018, background): “eliability, results suggest that trust in automation scales can be reliable. Of those scales that have been subject to validity analysis, high Cronbach alpha results have been obtained. The report by Jian, et al. (2000) illustrates these psychometric analyses. 5.4 Recommendations Looking across the ”
In AI We Trust? Factors That Influence Trustworthiness of AI-infused Decision-Making Processes (2019, methodology): “Trust is highly dependent on circumstances [4], and previous measurements of trust (e.g., [7, 10, 19, 28]) have largely relied on subjective assessments of what they believed influenced trust in specific situations.”
Individual Differences in the Calibration of Trust in Automation (2015, methodology): “Trust was assessed using a 12 item questionnaire developed by Jian, Bisantz, and Drury (2000) to assess trust between people and automation.”
The effects of transparency on trust in and acceptance of a content-based art recommender (2008, methodology): “Six out of the twelve questions used to measure trust were adapted from Jian et al. (2000).”
Validation of A Trust In Medical Technology Instrument (2010, methodology): “The Crocker and Algina (1986) approach to instrument development was followed and items were developed using methods identified by Jian et al. (2000).”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, background): “However, evidence to the contrary suggests that people tend to conceive of human–human relationships differently from human–automation relationships because an assessment of distrust in another human seems more negative than in a non-human entity (Jian et al. 2000).”
Trust in Automation (2015, methodology): “One of the most commonly used self-report scales was developed by Jian, Bisantz, Drury, and Llinas (2000).”
Trust In and Adoption of Online Recommendation Agents (2005, background): “Kiesler and Sproull (1997) have argued that any such attribution is an “as if” response rather than a true attribution of humanity, i.”
Trust and Reliance on an Automated Combat Identification System (2009, methodology): “Trust. Participants’ trust was measured by questionnaire after each aided mission block (see Table 1). The mean score of the first 11 items was used to assess general trust in the aid (extracted from Jian, Bisantz, & Drury, 2000 ).”
Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback (2012, methodology): “Trust items were adopted from Jian, Bisantz, and Drury (2000) and BI items were derived from Venkatesh and Davis (2000) and Böhm, Fuchs, Pfliegl, and Kölbl (2009).”
Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs (2007, background): “In order to understand the similarities and differences among human–human trust, trust in human–machine relationships, and trust in general, Jian et al. [41] conducted a word elicitation and comparison study.”
The Perception And Measurement Of Human-robot Trust (2013, methodology): “133 The Same-Trait approach looked at the relationship between a well-established subjective measure of trust in automation (Jian et al., 1998) and the 40 item scale.”
Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management (2016, methodology): “…in the information and analysis displayed) and (b) decision and action selection (trust in the IA’s suggestions and decisions; Parasuraman, Sheridan, & Wickens, 2000), using a modified version of the Trust Between People and Automation questionnaire developed by Jian, Bisantz, and Drury (2000).”
Understanding Is Key: An Analysis of Factors Pertaining to Trust in a Real-World Automation System (2018, methodology): “Statements for each of the key dimensions identified in the literature were taken from previously validated questionnaires (Bisantz & Seong, 2001; Jian et al., 2000; Madsen & Gregor, 2000; Muir & Moray, 1996), and a five-point Likert-type scale (from strongly agree to strongly disagree) was applied…”
Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving (2013, methodology): “After the test session, the participants were asked to fill out a questionnaire about their trust in the system, using a modified version of the trust in automation scale [18].”
The Role of Trust as a Mediator Between System Characteristics and Response Behaviors (2015, methodology): “Jian et al.’s (2000) human-automation trust questionnaire was used to assess participant trust in the signaling system.”