Communicating Robot Motion Intent with Augmented Reality

Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for appearance-constrained robots that lack anthropomorphic or zoomorphic features, such as aerial robots. We explore a new design space for communicati...

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Vydáno v:2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 316 - 324
Hlavní autoři: Walker, Michael, Hedayati, Hooman, Lee, Jennifer, Szafir, Daniel
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 26.02.2018
Edice:ACM Conferences
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ISBN:9781450349536, 1450349536
ISSN:2167-2148
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Abstract Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for appearance-constrained robots that lack anthropomorphic or zoomorphic features, such as aerial robots. We explore a new design space for communicating robot motion intent by investigating how augmented reality (AR) might mediate human-robot interactions. We develop a series of explicit and implicit designs for visually signaling robot motion intent using AR, which we evaluate in a user study. We found that several of our AR designs significantly improved objective task efficiency over a baseline in which users only received physically-embodied orientation cues. In addition, our designs offer several trade-offs in terms of intent clarity and user perceptions of the robot as a teammate.
AbstractList Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for appearance-constrained robots that lack anthropomorphic or zoomorphic features, such as aerial robots. We explore a new design space for communicating robot motion in-tent by investigating how augmented reality (AR) might mediate human-robot interactions. We develop a series of explicit and implicit designs for visually signaling robot motion intent using AR, which we evaluate in a user study. We found that several of our AR designs significantly improved objective task efficiency over a base-line in which users only received physically-embodied orientation cues. In addition, our designs offer several trade-offs in terms of intent clarity and user perceptions of the robot as a teammate.
Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for appearance-constrained robots that lack anthropomorphic or zoomorphic features, such as aerial robots. We explore a new design space for communicating robot motion intent by investigating how augmented reality (AR) might mediate human-robot interactions. We develop a series of explicit and implicit designs for visually signaling robot motion intent using AR, which we evaluate in a user study. We found that several of our AR designs significantly improved objective task efficiency over a baseline in which users only received physically-embodied orientation cues. In addition, our designs offer several trade-offs in terms of intent clarity and user perceptions of the robot as a teammate.
Author Szafir, Daniel
Lee, Jennifer
Hedayati, Hooman
Walker, Michael
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  givenname: Daniel
  surname: Szafir
  fullname: Szafir, Daniel
  email: daniel.szafir@colorado.edu
  organization: University of Colorado Boulder, Boulder, CO, USA
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Keywords arhmd
drones
mixed reality
augmented reality
virtuality continuum
aerial robots
robots
robot intent
interface design
Language English
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Snippet Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for...
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StartPage 316
SubjectTerms Aerial robots
ARHMD
augmented reality
Computer systems organization -- Embedded and cyber-physical systems -- Robotics
Computer systems organization -- Embedded and cyber-physical systems -- Robotics -- External interfaces for robotics
drones
General and reference -- Cross-computing tools and techniques -- Design
Hardware -- Communication hardware, interfaces and storage -- Displays and imagers
Human-centered computing -- Human computer interaction (HCI)
Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods -- Laboratory experiments
Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods -- Usability testing
Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods -- User studies
Human-centered computing -- Human computer interaction (HCI) -- Interaction devices -- Displays and imagers
Human-centered computing -- Human computer interaction (HCI) -- Interaction paradigms -- Mixed -- augmented reality
Human-centered computing -- Interaction design -- Interaction design process and methods -- Interface design prototyping
Human-centered computing -- Interaction design -- Interaction design process and methods -- User centered design
Human-centered computing -- Interaction design -- Interaction design process and methods -- User interface design
Human-robot interaction
interface design
mixed reality
robot intent
Robot kinematics
Robot motion
robots
Teamwork
Timing
Unmanned aerial vehicles
virtuality continuum
Visualization
Title Communicating Robot Motion Intent with Augmented Reality
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