Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction
The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the exp...
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| Vydáno v: | 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 491 - 498 |
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| Jazyk: | angličtina |
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New York, NY, USA
ACM
09.03.2020
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| Edice: | ACM Conferences |
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| ISBN: | 1450367461, 9781450367462 |
| ISSN: | 2167-2148 |
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| Abstract | The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Factors that make the GEW advantageous over existing evaluation methods include: ease of administration, reduction in the importance of word labels, and coverage of "no emotion" states. Statistical analyses of the GEW are proposed, isolating quantitative metrics of emotion distinctness. An experiment requiring participants to rate the perceived emotion of a social robot was conducted, employing the proposed methods. Analysis using the GEW revealed significant differences in the reliability of different expressions to clearly convey emotional states. The GEW provided a repeatable, systematic framework for estimating perceived affect of robot expression. Thus, the results suggest the GEW offers a powerful tool for design purposes as well as analysis. To support future research using the GEW, the software used for the analysis has been packaged and made available as an open-source resource to the community. |
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| AbstractList | The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Factors that make the GEW advantageous over existing evaluation methods include: ease of administration, reduction in the importance of word labels, and coverage of 'no emotion' states. Statistical analyses of the GEW are proposed, isolating quantitative metrics of emotion distinctness. An experiment requiring participants to rate the perceived emotion of a social robot was conducted, employing the proposed methods. Analysis using the GEW revealed significant differences in the reliability of different expressions to clearly convey emotional states. The GEW provided a repeatable, systematic framework for estimating perceived affect of robot expression. Thus, the results suggest the GEW offers a powerful tool for design purposes as well as analysis. To support future research using the GEW, the software used for the analysis has been packaged and made available as an open-source resource to the community. CCS Concepts * Human-centered computing \rightarrow Systems and tools for interaction design; HCI design and evaluation methods; User interface design; Visualization techniques; * Information systems \rightarrow Sentiment analysis. ACM Reference Format: Adam K. Coyne, Andrew Murtagh, and Conor McGinn. 2020. Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction. 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, 8 pages. https://doi.org/10.1145/3319502.3374834 The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Factors that make the GEW advantageous over existing evaluation methods include: ease of administration, reduction in the importance of word labels, and coverage of "no emotion" states. Statistical analyses of the GEW are proposed, isolating quantitative metrics of emotion distinctness. An experiment requiring participants to rate the perceived emotion of a social robot was conducted, employing the proposed methods. Analysis using the GEW revealed significant differences in the reliability of different expressions to clearly convey emotional states. The GEW provided a repeatable, systematic framework for estimating perceived affect of robot expression. Thus, the results suggest the GEW offers a powerful tool for design purposes as well as analysis. To support future research using the GEW, the software used for the analysis has been packaged and made available as an open-source resource to the community. |
| Author | Coyne, Adam K. Murtagh, Andrew McGinn, Conor |
| Author_xml | – sequence: 1 givenname: Adam K. surname: Coyne fullname: Coyne, Adam K. email: kavana21@tcd.ie organization: Trinity College Dublin, Dublin, Ireland – sequence: 2 givenname: Andrew surname: Murtagh fullname: Murtagh, Andrew email: andrew.murtagh@akara.ai organization: Akara Robotics, Dublin, Ireland – sequence: 3 givenname: Conor surname: McGinn fullname: McGinn, Conor email: mcginnc@tcd.ie organization: Trinity College Dublin, Dublin, Ireland |
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| Keywords | human-robot interaction stevie robot emotion geneva emotion wheel affect measurement |
| Language | English |
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| Snippet | The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva... |
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| SubjectTerms | affect measurement Design methodology emotion geneva emotion wheel Human computer interaction Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods Human-centered computing -- Interaction design -- Interaction design process and methods -- User interface design Human-centered computing -- Interaction design -- Systems and tools for interaction design Human-centered computing -- Visualization -- Visualization techniques Human-robot interaction Information systems -- Information retrieval -- Retrieval tasks and goals -- Sentiment analysis Measurement Statistical analysis Stevie robot Systematics Wheels |
| Title | Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction |
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