Not Some Random Agent Multi-person Interaction with a Personalizing Service Robot

Service robots often perform their main functions in public settings, interacting with more than one person at a time. How these robots should handle the affairs of individual users while also behaving appropriately when others are present is an open question. One option is to design for flexible ag...

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Vydané v:2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 289 - 297
Hlavní autori: Reig, Samantha, Luria, Michal, Wang, Janet Z., Oltman, Danielle, Carter, Elizabeth Jeanne, Steinfeld, Aaron, Forlizzi, Jodi, Zimmerman, John
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 09.03.2020
Edícia:ACM Conferences
Predmet:
Design methodology
groups
human-agent interaction
Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > Laboratory experiments
Human-robot interaction
interaction design
Interviews
Periodic structures
personalization
re-embodiment
service
Service robots
human-robot interaction
personalization
service
re-embodiment
groups
interaction design
human-agent interaction
ISBN:1450367461, 9781450367462
ISSN:2167-2148
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Abstract Service robots often perform their main functions in public settings, interacting with more than one person at a time. How these robots should handle the affairs of individual users while also behaving appropriately when others are present is an open question. One option is to design for flexible agent embodiment: letting agents take control of different robots as people move between contexts. Through structured User Enactments, we explored how agents embodied within a single robot might interact with multiple people. Participants interacted with a robot embodied by a singular service agent, agents that re-embody in different robots and devices, and agents that co-embody within the same robot. Findings reveal key insights about the promise of re-embodiment and co-embodiment as design paradigms as well as what people value during interactions with service robots that use personalization.
AbstractList Service robots often perform their main functions in public settings, interacting with more than one person at a time. How these robots should handle the affairs of individual users while also behaving appropriately when others are present is an open question. One option is to design for flexible agent embodiment: letting agents take control of different robots as people move between contexts. Through structured User Enactments, we explored how agents embodied within a single robot might interact with multiple people. Participants interacted with a robot embodied by a singular service agent, agents that re-embody in different robots and devices, and agents that co-embody within the same robot. Findings reveal key insights about the promise of re-embodiment and co-embodiment as design paradigms as well as what people value during interactions with service robots that use personalization.
Service robots often perform their main functions in public settings, interacting with more than one person at a time. How these robots should handle the afairs of individual users while also behaving appropriately when others are present is an open question. One option is to design for flexible agent embodiment: letting agents take control of different robots as people move between contexts. Through structured User Enactments, we explored how agents embodied within a single robot might interact with multiple people. Participants interacted with a robot embodied by a singular service agent, agents that re-embody in different robots and devices, and agents that co-embody within the same robot. Findings reveal key insights about the promise of re-embodiment and co-embodiment as design paradigms as well as what people value during interactions with service robots that use personalization. CCS CONCEPTS *Human-centered computing → Laboratory experiments. Acm Reference Format: Samantha Reig, Michal Luria, Janet Z Wang, Danielle Oltman, Elizabeth Jeanne Carter, Aaron Steinfeld, Jodi Forlizzi, and John Zimmerman. 2020. Not Some Random Agent: Multi-person Interaction with a Personalizing Service Robot. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI '20), March 23-26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374795
Author Forlizzi, Jodi
Luria, Michal
Reig, Samantha
Oltman, Danielle
Zimmerman, John
Steinfeld, Aaron
Wang, Janet Z.
Carter, Elizabeth Jeanne
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  email: johnz@cs.cmu.edu
  organization: Carnegie Mellon University, Pittsburgh, PA, USA
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Keywords human-robot interaction
personalization
service
re-embodiment
groups
interaction design
human-agent interaction
Language English
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Snippet Service robots often perform their main functions in public settings, interacting with more than one person at a time. How these robots should handle the...
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StartPage 289
SubjectTerms Design methodology
groups
human-agent interaction
Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods -- Laboratory experiments
Human-robot interaction
interaction design
Interviews
Periodic structures
personalization
re-embodiment
service
Service robots
Subtitle Multi-person Interaction with a Personalizing Service Robot
Title Not Some Random Agent
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