Exploring Human attitude during Human-Robot Interaction Article Swipe
Alessandra Sorrentino
,
Laura Fiorini
,
Isabelle Fabbricotti
,
Daniele Sancarlo
,
Filomena Ciccone
,
Filippo Cavallo
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/ro-man47096.2020.9223527
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/ro-man47096.2020.9223527
The aim of this work is to provide an automatic analysis to assess the user attitude when interacts with a companion robot. In detail, our work focuses on defining which combination of social cues the robot should recognize so that to stimulate the ongoing conversation and how. The analysis is performed on video recordings of 9 elderly users. From each video, low-level descriptors of the behavior of the user are extracted by using open-source automatic tools to extract information on the voice, the body posture, and the face landmarks. The assessment of 3 types of attitude (neutral, positive and negative) is performed through 3 machine learning classification algorithms: k-nearest neighbors, random decision forest and support vector regression. Since intra- and intersubject variability could affect the results of the assessment, this work shows the robustness of the classification models in both scenarios. Further analysis is performed on the type of representation used to describe the attitude. A raw and an auto-encoded representation is applied to the descriptors. The results of the attitude assessment show high values of accuracy (>0.85) both for unimodal and multimodal data. The outcome of this work can be integrated into a robotic platform to automatically assess the quality of interaction and to modify its behavior accordingly.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/ro-man47096.2020.9223527
- OA Status
- green
- Cited By
- 2
- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3093627217Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/ro-man47096.2020.9223527Digital Object Identifier
- Title
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Exploring Human attitude during Human-Robot InteractionWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-08-01Full publication date if available
- Authors
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Alessandra Sorrentino, Laura Fiorini, Isabelle Fabbricotti, Daniele Sancarlo, Filomena Ciccone, Filippo CavalloList of authors in order
- Landing page
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https://doi.org/10.1109/ro-man47096.2020.9223527Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://hdl.handle.net/2158/1255027Direct OA link when available
- Concepts
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Human–robot interaction, Computer science, Human–computer interaction, Robot, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2942520813, https://openalex.org/W4211153864, https://openalex.org/W3124959264, https://openalex.org/W2524160855, https://openalex.org/W3013571849, https://openalex.org/W2785722081, https://openalex.org/W2163922914, https://openalex.org/W2100495367, https://openalex.org/W2559085405, https://openalex.org/W2807126412, https://openalex.org/W2090777335, https://openalex.org/W6713134421, https://openalex.org/W6675354045, https://openalex.org/W4229658977, https://openalex.org/W2101234009, https://openalex.org/W2402144811, https://openalex.org/W3093411041, https://openalex.org/W2097128017, https://openalex.org/W3100470991 |
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