You Want Me to Trust a ROBOT? The Development of a Human–Robot Interaction Trust Scale

Yagoda, Rosemarie E.; Gillan, Douglas J.

doi:10.1007/s12369-012-0144-0

Cited by 161 publications

(96 citation statements)

References 23 publications

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“…This event-centric view also differentiates our investigations from the majority of studies in the literature, which have characterized impacts on trust from aggregated interaction experiences on longer-term time scales (e.g. [5,8,21]). …”

Section: Event-centric Perspectivementioning

confidence: 70%

“…Hancock et al [11] carried out a meta-analysis of empirical results from the HRI trust literature, and established quantitative estimates of various factors influencing trust across different interaction domains. Yagoda [21] gathered trust assessments from a broad audience by showing videos of human-robot interactions and eliciting users' trust responses through an online crowd-sourcing framework. Arkin et al [1] studied aspects of trust and deception in a tele-robotics context.…”

Section: Related Workmentioning

confidence: 99%

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Towards Modeling Real-Time Trust in Asymmetric Human–Robot Collaborations

Dudek

2016

Springer Tracts in Advanced Robotics

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We are interested in enhancing the efficiency of human-robot collaborations, especially in "supervisor-worker" settings where autonomous robots work under the supervision of a human operator. We believe that trust serves a critical role in modeling the interactions within these teams, and also in streamlining their efficiency. We propose an operational formulation of human-robot trust on a short interaction time scale, which is tailored to a practical tele-robotics setting. We also report on a controlled user study that collected interaction data from participants collaborating with an autonomous robot to perform visual navigation tasks. Our analyses quantify key correlations between real-time human-robot trust assessments and diverse factors, including properties of failure events reflecting causal trust attribution, as well as strong influences from each user's personality. We further construct and optimize a predictive model of users' trust responses to discrete events, which provides both insights on this fundamental aspect of real-time human-machine interaction, and also has pragmatic significance for designing trust-aware robot agents.

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Section: Event-centric Perspectivementioning

confidence: 70%

Section: Related Workmentioning

confidence: 99%

Towards Modeling Real-Time Trust in Asymmetric Human–Robot Collaborations

Dudek

2016

Springer Tracts in Advanced Robotics

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“…Some relevant work has been done in the related area of human-robot trust [1,2,20,23,25]. Some of this research has been about trusting a robot's ability to correctly perform its function [1,2] and other research has covered the concept of trust and personal investment [25].…”

Section: Related Workmentioning

confidence: 99%

Personal Space Intrusion in Human-Robot Collaboration

Stark

Mota

Sharlin

2018

Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

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Our research aims toward a method of evaluating how invasion of personal space by a robot, with appropriate context, affects human comfort. Work has been done to define comfortable social distances between humans and robots using the stop distance technique. But we aim toward filling an apparent gap in human-robot proxemics research: the results of physical interaction within that social distance. This paper describes our implementation of a testbed to evaluate how comfort changes as a result of invasion of personal space by a robot during a collaborative task with a shared workspace. The study we have designed and piloted causes the robot to reach into the human's personal space at different distances and urgency levels. We have also identified some ways in which further exploration in this area can be done.

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“…Unless these internal differences are transparent to a human collaborator, there may be a perception that there is less consistency of action between individuals. Existing work has found that such performance based factors play a key role in trust development between humans and robots [12,44].…”

Section: Implications For Reliabilitymentioning

confidence: 99%