research-article

Context-Aware Automated Analysis and Annotation of Social Human--Agent Interactions

Authors:

Gregor Mehlmann,

Florian Lingenfelser,

Johannes Wagner,

Elisabeth André,

Patrick GebhardAuthors Info & Claims

ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 5, Issue 2

Article No.: 11, Pages 1 - 33

https://doi.org/10.1145/2764921

Published: 30 June 2015 Publication History

Abstract

The outcome of interpersonal interactions depends not only on the contents that we communicate verbally, but also on nonverbal social signals. Because a lack of social skills is a common problem for a significant number of people, serious games and other training environments have recently become the focus of research. In this work, we present NovA (Nonverbal behavior Analyzer), a system that analyzes and facilitates the interpretation of social signals automatically in a bidirectional interaction with a conversational agent. It records data of interactions, detects relevant social cues, and creates descriptive statistics for the recorded data with respect to the agent's behavior and the context of the situation. This enhances the possibilities for researchers to automatically label corpora of human--agent interactions and to give users feedback on strengths and weaknesses of their social behavior.

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Cited By

Funk MOkada SAndré E(2024)Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on EngagementProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685757(224-233)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685757
Wang XCao NChen QCao S(2024)The interaction design of 3D virtual humans: A surveyComputer Science Review10.1016/j.cosrev.2024.10065353(100653)Online publication date: Aug-2024
https://doi.org/10.1016/j.cosrev.2024.100653
Schneeberger THladký MThurner AVolkert JHeimerl ABaur TAndré EGebhard P(2023)The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social SignalsIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329806215:2(417-432)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1109/TAFFC.2023.3298062
Show More Cited By

Index Terms

Context-Aware Automated Analysis and Annotation of Social Human--Agent Interactions
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Transactions on Interactive Intelligent Systems

ACM Transactions on Interactive Intelligent Systems Volume 5, Issue 2

Special Issue on Behavior Understanding for Arts and Entertainment (Part 1 of 2)

July 2015

144 pages

ISSN:2160-6455

EISSN:2160-6463

DOI:10.1145/2799389

Editors:
Anthony Jameson
German Research Center for Artificial Intelligence (DFKI), Germany
,
Krzysztof Gajos
Harvard University, U.S.A.

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Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 30 June 2015

Accepted: 01 April 2015

Revised: 01 March 2015

Received: 01 March 2014

Published in TIIS Volume 5, Issue 2

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Cited By

Funk MOkada SAndré E(2024)Multilingual Dyadic Interaction Corpus NoXi+J: Toward Understanding Asian-European Non-verbal Cultural Characteristics and their Influences on EngagementProceedings of the 26th International Conference on Multimodal Interaction10.1145/3678957.3685757(224-233)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3678957.3685757
Wang XCao NChen QCao S(2024)The interaction design of 3D virtual humans: A surveyComputer Science Review10.1016/j.cosrev.2024.10065353(100653)Online publication date: Aug-2024
https://doi.org/10.1016/j.cosrev.2024.100653
Schneeberger THladký MThurner AVolkert JHeimerl ABaur TAndré EGebhard P(2023)The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social SignalsIEEE Transactions on Affective Computing10.1109/TAFFC.2023.329806215:2(417-432)Online publication date: 24-Jul-2023
https://dl.acm.org/doi/10.1109/TAFFC.2023.3298062
Karimah SHasegawa S(2022)Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methodsSmart Learning Environments10.1186/s40561-022-00212-y9:1Online publication date: 12-Nov-2022
https://doi.org/10.1186/s40561-022-00212-y
Heimerl AMertes SSchneeberger TBaur TLiu ABecker LRohleder NGebhard PAndré E(2022)Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial LearningArtificial Intelligence in Education10.1007/978-3-031-11644-5_67(679-684)Online publication date: 27-Jul-2022
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Barz MSonntag D(2021)Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human GazeSensors10.3390/s2112414321:12(4143)Online publication date: 16-Jun-2021
https://doi.org/10.3390/s21124143
Wang CChanel G(2021)An Open Dataset for Impression Recognition from Multimodal Bodily Responses2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)10.1109/ACII52823.2021.9597421(1-8)Online publication date: 28-Sep-2021
https://doi.org/10.1109/ACII52823.2021.9597421
Del Duchetto FBaxter PHanheide M(2020)Are You Still With Me? Continuous Engagement Assessment From a Robot's Point of ViewFrontiers in Robotics and AI10.3389/frobt.2020.001167Online publication date: 16-Sep-2020
https://doi.org/10.3389/frobt.2020.00116
Gebhard PSchneeberger TAndre EBaur TDamian IMehlmann GKonig CLanger M(2019)Serious Games for Training Social Skills in Job InterviewsIEEE Transactions on Games10.1109/TG.2018.280852511:4(340-351)Online publication date: Dec-2019
https://doi.org/10.1109/TG.2018.2808525
Feine JGnewuch UMorana SMaedche A(2019)A Taxonomy of Social Cues for Conversational AgentsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2019.07.009132:C(138-161)Online publication date: 1-Dec-2019
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