Overcoming the Keyhole in Human-Robot Coordination: Simulation and Evaluation

2005 ◽  
Vol 49 (3) ◽  
pp. 442-446 ◽  
Author(s):  
Martin Voshell ◽  
David D. Woods ◽  
Flip Phillips
Keyword(s):  
Human Robot Interaction ◽  
Simulation Environment ◽  
Robot Interaction ◽  
Pilot Studies ◽  
Evaluation Measures ◽  
Data Space ◽  
Keyhole Effect ◽  
Simulation And Evaluation ◽  
Path Tortuosity ◽  
Traditional Performance

When environment access is mediated through robotic sensors, field experience and naturalistic studies show robot handlers have difficulties comprehending remote environments - they experience what domain practitioners often call a 'soda straw'. This illustrates the keyhole effect in Human Robot Interaction, a CSE phenomena studied in the context of large virtual data space interfaces and the current research seeks to reduce this effect. A simulation for human-robot coordinated search and rescue was created based on WTC response experiences. Pilot studies showed traditional performance measures to be inadequate in analyzing control and exploration tasks therefore a novel analysis approach based on fractal path tortuosity was developed. New interface concepts for helping remote observers perceive environmental affordances were then tested using the simulation environment and evaluation measures. These studies look to concepts based on Gibsonian principles to reduce keyhole effects in control interfaces to enhance remote functional presence in Human-Robot Coordination.

Defining the Challenges Operators Face when Controlling Multiple Unmanned Vehicles

2005 ◽  
Vol 49 (3) ◽  
pp. 392-396
Author(s):  
Peter N. Squire ◽  
Raja Parasuraman
Keyword(s):  
Supervisory Control ◽  
Unmanned Vehicles ◽  
Human Robot Interaction ◽  
Human Operator ◽  
Simulation Environment ◽  
Robot Interaction ◽  
Human In The Loop ◽  
Control Interface ◽  
New Findings ◽  
Single Operator

To achieve effective human-robot interaction (HRI) it is important to determine what types of supervisory control interfaces lead to optimal human-robot teaming. Research in HRI has demonstrated that operators controlling fewer robots against opponents of equal strength face greater challenges when control is restricted to only automation. Using human-in-the-loop evaluations of delegation-type interfaces, the present study examined the challenges and outcomes of a single operator supervising (1) more or less robots than a simulated adversary, with either a (2) flexible or restricted control interface. Testing was conducted with 12 paid participants using the RoboFlag simulation environment. Results from this experiment support past findings of execution timing deficiencies related to automation brittleness, and present new findings that indicate that successful teaming between a single human operator and a robotic team is affected by the number of robots and the type of interface.

Workload in Human-Robot Interaction: A Review of Manipulations and Outcomes

2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

Biomimetic, sociable robots for human-robot interaction

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna
Keyword(s):  
Human Robot Interaction ◽  
Robot Interaction

The role and relationship of mindreading and social attunement in HRI – position statements of interdisciplinary researchers. Workshop HRI'20

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Artificial Agents ◽  
The Novel ◽  
Robot Interaction ◽  
Novel Coronavirus ◽  
Relationship Of ◽  
The Relationship

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.

Shall I trust you? From child human-robot interaction to trusting relationships

2019 ◽  
Author(s):  
Cinzia Di Dio ◽  
Federico Manzi ◽  
Giulia Peretti ◽  
Angelo Cangelosi ◽  
Paul L. Harris ◽  
...  
Keyword(s):  
Behavioral Pattern ◽  
Human Robot Interaction ◽  
School Age Children ◽  
Social Relevance ◽  
Robot Interaction ◽  
Cognitive Correlates ◽  
The Social ◽  
The Relationship

Studying trust within human-robot interaction is of great importance given the social relevance of robotic agents in a variety of contexts. We investigated the acquisition, loss and restoration of trust when preschool and school-age children played with either a human or a humanoid robot in-vivo. The relationship between trust and the quality of attachment relationships, Theory of Mind, and executive function skills was also investigated. No differences were found in children’s trust in the play-partner as a function of agency (human or robot). Nevertheless, 3-years-olds showed a trend toward trusting the human more than the robot, while 7-years-olds displayed the reverse behavioral pattern, thus highlighting the developing interplay between affective and cognitive correlates of trust.

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