Collaboration, Dialogue, Human-Robot Interaction

Fong, Terrence; Thorpe, C.; Baur, Charles

doi:10.1007/3-540-36460-9_17

Cited by 209 publications

(163 citation statements)

References 11 publications

Supporting

Mentioning

156

Contrasting

Unclassified

Order By: Relevance

“…In addition, the necessary complexity in autonomous solutions (e.g. [5,7]) warrants the need of trust. Finally, these setups are relevant to a wide variety of different robot platforms and application contexts.…”

Section: Interaction Contextmentioning

confidence: 99%

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

Dudek

2016

Springer Tracts in Advanced Robotics

View full text Add to dashboard Cite

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.

show abstract

Section: Interaction Contextmentioning

confidence: 99%

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

Dudek

2016

Springer Tracts in Advanced Robotics

View full text Add to dashboard Cite

show abstract

“…Fong, Thorpe, and Baur found that by having humans collaborate with multiple independently-controlled robots, both were able to accomplish more than when the humans had to manually control every aspect of the robots [11]. Hinds, Roberts, and Jones studied the effects of different robot appearances and different robot status roles on the task-solving capabilities of different human-robot collaborative pairs [13].…”

Section: A Related Workmentioning

confidence: 99%

Collaborating with Kaspar: Using an autonomous humanoid robot to foster cooperative dyadic play among children with autism

Wainer¹,

Dautenhahn²,

Robins³

et al. 2010

2010 10th IEEE-RAS International Conference on Humanoid Robots

View full text Add to dashboard Cite

Abstract-This article describes a pilot study in which children with autism alternated between playing a cooperative, dyadic video game with an adult human and playing the same game with an autonomous humanoid robot. The purpose of the study was to determine whether the children, all of whom had difficulties communicating and engaging in social play with others, would display more collaborative behaviours when playing with an adult after playing and interacting with the humanoid robot. Based on our analysis of the children's behaviours while playing the cooperative game, our findings suggest that the children were more entertained, seemed more invested in the game, and collaborated better with their partners during their second sessions of playing with human adults than during their first. One possible explanation for this result is that the children's intermediary play session with the humanoid robot had an impact on their subsequent play session with the adult. Additionally, while the autistic children saw the robotic partner as being more interesting and entertaining, they played more collaboratively and cooperated better with the human adult.

show abstract

“…Although the robotics and machine learning communities are working to develop human-level competence, robots still have difficulty with many skills that come naturally to humans. For example, robots have difficulty with perceptual tasks in cluttered or complex terrain (Nguyen-Huu, Titus, Tilbury, & Ulsoy, 2009), and robots have difficulty resolving ambiguity in their high-level perceptual tasks (Fong, Thorpe, & Baur, 2003).…”

Section: Human Assistance Provided To Robotsmentioning

confidence: 99%

Supporting Situation Awareness Through Robot-to-Human Information Exchanges Under Conditions of Visuospatial Perspective Taking

Phillips¹,

Jentsch²

2017

Journal of Human-Robot Interaction

View full text Add to dashboard Cite

The purpose of this study was to test the effects of robot-to-human information exchanges on the development of human situation awareness under differing levels of visuospatial perspective taking and the effect of situation awareness on the quality of human assistance provided to a robot. Fifty-six male participants with ages ranging from 18 to 29 (M = 18.89, SD = 3.41) were included in the analysis of the results. The results showed that if robots can increasingly support a human's understanding of when assistance is needed, they will be better able to provide that assistance. When spatial information was added to robot-to-human information exchanges, representing that spatial information in global-relative reference frames was more beneficial than representing that information in reference to the human's view of the environment.

show abstract

Collaboration, Dialogue, Human-Robot Interaction

Cited by 209 publications

References 11 publications

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

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

Collaborating with Kaspar: Using an autonomous humanoid robot to foster cooperative dyadic play among children with autism

Supporting Situation Awareness Through Robot-to-Human Information Exchanges Under Conditions of Visuospatial Perspective Taking

Contact Info

Product

Resources

About