The Role of Trust in Human-Robot Interaction

Lewis, Michael; Sycara, Katia; Walker, Phillip

doi:10.1007/978-3-319-64816-3_8

Cited by 187 publications

(173 citation statements)

References 95 publications

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“…According to this stance, trust is a domain-specific relation between the human and the robotic system involved. We follow this stance for our proposed trust taxonomy and define trust in robotic systems, in accordance to Lewis and colleagues [50], as a predictive belief or assumption about what will occur given the performance, process, or purpose of the robot. The definition of trust as appropriate reliance also stresses the importance of trust in situations involving risk and uncertainty.…”

Section: Approaches To Trustmentioning

confidence: 99%

“…For example, Desai et al [17] and Sebo et al [69] researched robot failure and its influence on dynamic trust during one interaction. However, it has been outlined that long-term studies exploring the transient nature of trust are missing in the literature [50]. For example, how does trust change with increasing familiarity of the user with robots?…”

Section: Trust Failure and Repairmentioning

confidence: 99%

“…Trust is an important component to ensure successful diffusion and uptake of human-robotic systems interaction in society. Trust in and trustworthiness of these systems have been considered important for long-term interaction, collaboration, and acceptance [50]. However, how should we design and implement trustworthy systems?…”

Section: Introductionmentioning

confidence: 99%

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Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Tolmeijer

Weiss

Hanheide

et al. 2020

Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

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We develop a taxonomy that categorizes HRI failure types and their impact on trust to structure the broad range of knowledge contributions. We further identify research gaps in order to support fellow researchers in the development of trustworthy robots. Studying trust repair in HRI has only recently been given more interest and we propose a taxonomy of potential trust violations and suitable repair strategies to support researchers during the development of interaction scenarios. The taxonomy distinguishes four failure types: Design, System, Expectation, and User failures and outlines potential mitigation strategies. Based on these failures, strategies for autonomous failure detection and repair are presented, employing explanation, verification and validation techniques. Finally, a research agenda for HRI is outlined, discussing identified gaps related to the relation of failures and HR-trust. CCS CONCEPTS • Human-centered computing → User models; Interaction design theory, concepts and paradigms; HCI theory, concepts and models; Empirical studies in HCI; • Computer systems organization → Robotics.

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Section: Approaches To Trustmentioning

confidence: 99%

Section: Trust Failure and Repairmentioning

confidence: 99%

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Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Tolmeijer

Weiss

Hanheide

et al. 2020

Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

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“…As robots become more capable, they may unintentionally lead humans to over-trust them [12]. In general, trust is a complex phenomenon, and there are a variety of ways in which robots and machines may influence human end-users' trust [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Establishing Appropriate Trust via Critical States

Huang

Bhatia

Abbeel

et al. 2018

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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In order to effectively interact with or supervise a robot, humans need to have an accurate mental model of its capabilities and how it acts. Learned neural network policies make that particularly challenging. We propose an approach for helping end-users build a mental model of such policies.Our key observation is that for most tasks, the essence of the policy is captured in a few critical states: states in which it is very important to take a certain action. Our user studies show that if the robot shows a human what its understanding of the task's critical states is, then the human can make a more informed decision about whether to deploy the policy, and if she does deploy it, when she needs to take control from it at execution time.

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“…Within the increasing number of studies of human-robot interaction (HRI), there has been a great deal of focus on physical safety [28], teleoperation of robots [29][30][31], the quality of HRI [32], collaboration [33,34] and navigation [35][36][37]. More recently, in relation to social robots, there has been an increasing focus on empathy [38][39][40] and trust [41][42][43][44], important factors in developing a social robot. However, increasing our understanding of these important factors as they relate to HRI requires appropriate and contextually valid methods to inform research findings and robotic design.…”

Section: Human-robot Interaction Methodsmentioning

confidence: 99%

Participatory Research Principles in Human-Centered Design: Engaging Teens in the Co-Design of a Social Robot

Björling

Rose

2019

MTI

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Social robots are emerging as an important intervention for a variety of vulnerable populations. However, engaging participants in the design of social robots in a way that is ethical, meaningful, and rigorous can be challenging. Many current methods in human–robotic interaction rely on laboratory practices, often experimental, and many times involving deception which could erode trust in vulnerable populations. Therefore, in this paper, we share our human-centered design methodology informed by a participatory approach, drawing on three years of data from a project aimed to design and develop a social robot to improve the mental health of teens. We present three method cases from the project that describe creative and age appropriate methods to gather contextually valid data from a teen population. Specific techniques include design research, scenario and script writing, prototyping, and teens as operators and collaborative actors. In each case, we describe the method and its implementation and discuss the potential strengths and limitations. We conclude by situating these methods by presenting a set of recommended participatory research principles that may be appropriate for designing new technologies with vulnerable populations.

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The Role of Trust in Human-Robot Interaction

Cited by 187 publications

References 95 publications

Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Establishing Appropriate Trust via Critical States

Participatory Research Principles in Human-Centered Design: Engaging Teens in the Co-Design of a Social Robot

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