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I Remember You!: Interaction with Memory for an Empathic Virtual Robotic Tutor

Published: 09 May 2016 Publication History

Abstract

We present a study that investigates the effect of incorporating memory in the interaction for a virtual robotic tutor in terms of helping children achieve a pedagogical goal and the perceived likeability and empathy of the tutor. The domain is a virtual robotic tutor who is guiding and helping learners through a mobile Treasure Hunt exercise that tests their map reading skills. The contribution described in this paper is the discovery that incorporating 'memory' through utterances that recall events from previous interactions significantly increases the learner's ability to perform a pedagogical task. However, the virtual tutor with memory was perceived as less likeable and the instructions given as harder to follow than with a virtual tutor without memory. In addition, there was a significant drop in perceived empathy. This work has a large potential influence in the field of interaction design for agents as one cannot blindly add in human-like features, such as, memory that improve task performance without considering the potential detrimental effects to the perceived empathy and likeability.

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Cited By

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  • (2018)Socially-Conditioned Task Reasoning for a Virtual Tutoring AgentProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3238143(2265-2267)Online publication date: 9-Jul-2018
  • (2017)Persistent Memory in Repeated Child-Robot ConversationsProceedings of the 2017 Conference on Interaction Design and Children10.1145/3078072.3079728(238-247)Online publication date: 27-Jun-2017

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cover image ACM Other conferences
AAMAS '16: Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems
May 2016
1580 pages
ISBN:9781450342391

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  • IFAAMAS

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 09 May 2016

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Author Tags

  1. empathy
  2. human-agent interaction
  3. human-robot interaction
  4. memory

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  • Research-article

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  • EU FP7

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AAMAS '16
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AAMAS '16 Paper Acceptance Rate 137 of 550 submissions, 25%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2018)Socially-Conditioned Task Reasoning for a Virtual Tutoring AgentProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3238143(2265-2267)Online publication date: 9-Jul-2018
  • (2017)Persistent Memory in Repeated Child-Robot ConversationsProceedings of the 2017 Conference on Interaction Design and Children10.1145/3078072.3079728(238-247)Online publication date: 27-Jun-2017

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