Trust in Automated Vehicles

Holthausen, Brittany E.; Stuck, Rachel E.; Walker, Bruce N.

doi:10.1007/978-3-030-77726-5_2

Cited by 4 publications

(4 citation statements)

References 53 publications

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“…Thus, the role of trust is increasingly considered to be an important "human factor" in systems engineering. 29 However, there is often a considerable gap between trust understood as an individual and social phenomenon, and "technical" trustworthiness. The latter is often understood-at least in the engineering disciplines-as a technical term.…”

Section: Scope Motivation and Structure Of The Papermentioning

confidence: 99%

“…One of the most prominent definitions of trust from the social sciences applied to the field of autonomous vehicles 18,28,29,68 comes from Mayer et al 69 in the area of organizational research. Their definition states that trust "is the willingness of a party to be vulnerable to the actions of another party based on the expectation that the other will perform a particular action important to the trustor, irrespective of the ability to monitor or control that other part" [69, p. 712].…”

Section: Trust and Trustworthiness In The Social Sciencesmentioning

confidence: 99%

“…“How does a trustor recognize whether she or he can trust?” Communication scholars like Blöbaum [30, p. 10] point to both interaction partners: what counts as trustworthy depends on the expectations of the trustor, and at the same time on the characteristics of the trustee. One of the most prominent definitions of trust from the social sciences applied to the field of autonomous vehicles 18,28,29,68 comes from Mayer et al 69 . in the area of organizational research.…”

Section: State Of Researchmentioning

confidence: 99%

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Challenges for trustworthy autonomous vehicles: Let us learn from life

Hoppe,

Hagemann,

Stierand

et al. 2024

Systems Engineering

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Current surveys indicate limited public and individual trust in autonomous vehicles despite a long tradition to ensure their (technical) trustworthiness in informatics and systems engineering. To address this trust gap, this article explores the underlying reasons. The article elaborates on the gap between trust understood as a social phenomenon and, in contrast, the research tradition aimed at guaranteeing (technical) trustworthiness. It discusses to what extent those research traditions in the social sciences and humanities have been recognized and reflected in systems engineering research to date. Trust, according to the current state of research in the social sciences and humanities, heavily relies on individual assessments of an autonomous vehicle's abilities, benevolence and integrity. By contrast, technical trustworthiness is defined as the sum of intersubjective, measurable, technical parameters. They describe certain abilities or properties of a system, often according to respective technical standards and norms. This article places the “explainability” of autonomous systems in a bridging role. Explainability can help to conceptualize an integrative trust layer to communicate a system's abilities, benevolence and integrity. As such, explainability should respect the individual and situational needs of users, and should therefore be responsive. In conclusion, the results demonstrate that “learning from life” requires extensive interdisciplinary collaboration with neighboring research fields. This novel perspective on trustworthiness aligns existing research areas. It delves deeper into the conceptual “how”, dives into the intricacies and showcases (missing) interconnectedness in the state of research.

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Section: Scope Motivation and Structure Of The Papermentioning

confidence: 99%

Section: Trust and Trustworthiness In The Social Sciencesmentioning

confidence: 99%

Section: State Of Researchmentioning

confidence: 99%

See 1 more Smart Citation

Challenges for trustworthy autonomous vehicles: Let us learn from life

Hoppe,

Hagemann,

Stierand

et al. 2024

Systems Engineering

View full text Add to dashboard Cite

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“…The requirements for such control takeover situations will differ between the respective tasks and contexts, such as when driving automated cars [6,16], managing fleets of automated vehicles in a logistics center [15], or when surveying the quality of an automated manufacturing process [3,18]. The long-term formation of trust in automation and corresponding design patterns for monitoring and interventions are increasingly provided by the HCI research community [8,14], but their applicability across other tasks and contexts is not straightforward. Trust in automation systems may be even harder to accomplish when the underlying data is uncertain, such as when it is relying on learned data or digital twins [5].…”

Section: Monitor and Intervenementioning

confidence: 99%

Intervening, Teaming, Delegating: Creating Engaging Automation Experiences

Fröhlich

Baldauf

Palanque

et al. 2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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Automated systems are becoming common in private, public and professional life. Given their increasing ubiquity and availability to a growing diversity of users, it is important to explore requirements, design principles, and user experience factors across application sectors and scientific disciplines. This workshop provides a forum for researchers and practitioners active in the field of "Automation Experience". In a keynote talk, a poster madness, discussions, and hands-on sessions, the participants will explore and discuss specific opportunities and challenges related to future forms of engagement with an increasing number of automated entities (automations). To this end, the focus topics for the workshop comprise (1) novel ways for monitoring of and intervening with increasingly intelligent agents and artifacts, (2) collaborative interaction to support teaming up and cooperation among humans and automations, and (3) orchestration and delegation of increasingly complex tasks to smart spaces. The results of the workshop are a set of research ideas and drafts of joint research initiatives to drive further automation experience research in a collaborative and interdisciplinary manner. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI).

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