Uncertainty in Robot Assisted Second Language Conversation Practice Article Swipe
Ronald Cumbal
,
José Lopes
,
Olov Engwall
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3371382.3378306
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1145/3371382.3378306
Moments of uncertainty are common for learners when practicing a second language. The appropriate management of these events could help avoid the development of frustration and benefit the learner's experience. Therefore, its detection is crucial in language practice conversations. In this study, an experimental conversation between an adult second language learner and a social robot is employed to visually characterize the learners' uncertainty. The robot's output is manipulated in prosody and lexical levels to provoke uncertainty during the conversation. These reactions are then processed to obtain Facial Action Units (AUs) and Gaze features. Preliminary results show distinctive behavioral patterns of uncertainty among the participants. Based on these results, a new annotation scheme is proposed, which will expand the data used to train sequential models to detect uncertainty. As future steps, the robotic conversational partner will use this information to adapt its behavior in dialogue generation and language complexity.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3371382.3378306
- OA Status
- green
- Cited By
- 3
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3014717059
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3014717059Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3371382.3378306Digital Object Identifier
- Title
-
Uncertainty in Robot Assisted Second Language Conversation PracticeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-03-23Full publication date if available
- Authors
-
Ronald Cumbal, José Lopes, Olov EngwallList of authors in order
- Landing page
-
https://doi.org/10.1145/3371382.3378306Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277271Direct OA link when available
- Concepts
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Conversation, Computer science, Gaze, Prosody, Robot, Natural language processing, Artificial intelligence, Action (physics), Scheme (mathematics), Human–computer interaction, Psychology, Speech recognition, Communication, Mathematics, Quantum mechanics, Physics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2022: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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14Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.provoke | 74 |
| abstract_inverted_index.results | 94 |
| abstract_inverted_index.robot's | 64 |
| abstract_inverted_index.robotic | 131 |
| abstract_inverted_index.behavior | 141 |
| abstract_inverted_index.dialogue | 143 |
| abstract_inverted_index.employed | 56 |
| abstract_inverted_index.language | 36, 49, 146 |
| abstract_inverted_index.learners | 6 |
| abstract_inverted_index.patterns | 98 |
| abstract_inverted_index.practice | 37 |
| abstract_inverted_index.results, | 107 |
| abstract_inverted_index.visually | 58 |
| abstract_inverted_index.detection | 32 |
| abstract_inverted_index.features. | 92 |
| abstract_inverted_index.language. | 11 |
| abstract_inverted_index.learner's | 28 |
| abstract_inverted_index.learners' | 61 |
| abstract_inverted_index.processed | 83 |
| abstract_inverted_index.proposed, | 113 |
| abstract_inverted_index.reactions | 80 |
| abstract_inverted_index.Therefore, | 30 |
| abstract_inverted_index.annotation | 110 |
| abstract_inverted_index.behavioral | 97 |
| abstract_inverted_index.generation | 144 |
| abstract_inverted_index.management | 14 |
| abstract_inverted_index.practicing | 8 |
| abstract_inverted_index.sequential | 122 |
| abstract_inverted_index.Preliminary | 93 |
| abstract_inverted_index.appropriate | 13 |
| abstract_inverted_index.complexity. | 147 |
| abstract_inverted_index.development | 22 |
| abstract_inverted_index.distinctive | 96 |
| abstract_inverted_index.experience. | 29 |
| abstract_inverted_index.frustration | 24 |
| abstract_inverted_index.information | 137 |
| abstract_inverted_index.manipulated | 67 |
| abstract_inverted_index.uncertainty | 2, 75, 100 |
| abstract_inverted_index.characterize | 59 |
| abstract_inverted_index.conversation | 44 |
| abstract_inverted_index.experimental | 43 |
| abstract_inverted_index.uncertainty. | 62, 126 |
| abstract_inverted_index.conversation. | 78 |
| abstract_inverted_index.participants. | 103 |
| abstract_inverted_index.conversational | 132 |
| abstract_inverted_index.conversations. | 38 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.62324894 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |