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4. Impression Detection and Management Using an Embodied Conversational Agent

Author

Wang, Chen, Biancardi, Beatrice, Mancini, Maurizio, Cafaro, Angelo, Pelachaud, Catherine, Pun, Thierry, Chanel, Guillaume, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Kurosu, Masaaki, editor

Published
2020
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5. A theoretical review of the Proteus effect: understanding the underlying processes.

Author

Coesel, Anna Martin, Biancardi, Beatrice, and Buisine, Stéphanie

Subjects
VIRTUAL reality, AVATARS (Virtual reality), HUMAN ecology, CRITICAL analysis, SELF-perception
Abstract

Humans' inherent fascination for stories can be observed throughout most of our documented history. If, for a long time, narratives were told through paintings, songs, or literature, recent technological advances such as immersive virtual reality have made it possible for us to interact with storylines and characters in a completely new manner. With these new technologies came the need to study how people interact with them and how they affect their users. Notably, research in this area has revealed that users of virtual environments tend to display behaviors/attitudes that are congruent with the appearance of the avatars they embody; a phenomenon termed the Proteus effect. Since its introduction in the literature, many studies have demonstrated the Proteus effect in various contexts, attesting to the robustness of the effect. However, beyond the first articles on the subject, very few studies have sought to investigate the social, affective, and cognitive mechanisms underlying the effect. Furthermore, the current literature appears somewhat disjointed with different schools of thought, using different methodologies, contributing to this research topic. Therefore, this work aims to give an overview of the current state of the literature and its shortcomings. It also presents a critical analysis of multiple theoretical frameworks that may help explain the Proteus effect. Notably, this work challenges the use of self-perception theory to explain the Proteus effect and considers other approaches from social psychology. Finally, we present new perspectives for upcoming research that seeks to investigate the effect of avatars on user behavior. All in all, this work aims to bring more clarity to an increasingly popular research subject and, more generally, to contribute to a better understanding of the interactions between humans and virtual environments. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Study 8: Cross Validation Final Questionnaire Set

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Abdulrahman, Amal, Li, Fengxiang, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Ranjbartabar, Hedieh, Wang, Isaac, Kun, Peter, Wicke, Philipp, HE, Yuan, Simoens, Pieter, Biancardi, Beatrice, Zibrek, Katja, McCoy, Joshua, Tsfasman, Maria, Vossen, Piek, Ribeiro, Tiago, Krause, Lea, Beinema, Tessa, and Curtis, Cassidy

Subjects
Virtual Agent, User Study, Artificial Intelligence and Robotics, Computer Sciences, Questionnaire, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

In this study, we determine the generalization performance of the long and short questionnaire version (i.e. cross validation: fit model on data set from a new set of ASAs). It involves crowd workers on an online platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip.

Published
2022
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13. Study 7: Confirmatory Factor Analysis

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Nijssen, Sari, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, Li, Fengxiang, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Wang, Isaac, Ranjbartabar, Hedieh, Kun, Peter, Wicke, Philipp, HE, Yuan, Simoens, Pieter, Biancardi, Beatrice, and Zibrek, Katja

Subjects
Virtual Agent, User Study, Artificial Intelligence and Robotics, Computer Sciences, Questionnaire, ComputerApplications_MISCELLANEOUS, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

This research is the second study into the validation of the questionnaire instrument for evaluating human interaction with an artificial social agent. It involves crowd workers on an online crowdsourcing platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip. The result of this study will be analysed and used to examine the associations of questionnaire items with the latent constructs, i.e. construct validity.

Published
2022
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14. Errare humanum est?

Author

Lauletta, Enrico, primary, Biancardi, Beatrice, additional, Norelli, Antonio, additional, Mancini, Maurizio, additional, and Panconesi, Alessandro, additional

Published
2022
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18. Des leaders d’équipes virtuels pour encourager le développement du système de mémoire transactive

Author

Biancardi, Beatrice, Giaccaglia, Ivan, Ravenet, Brian, Varni, Giovanna, Département Images, Données, Signal (IDS), Télécom ParisTech, Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Institut Polytechnique de Paris (IP Paris), Università degli Studi di Trento (UNITN), Cognition, Perception et Usages (CPU), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Interaction avec l'Humain (IaH), and Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
Abstract

IHM’20.21 32e conférence francophone sur l’Interaction Humain-Machine; National audience; Teams working together at solving a problem can benefit from a technological support for developing a shared mental representation of their own knowledge. In this paper, we investigate, through an online perceptive study, how people perceive the interventions of an Embodied Conversational Agent (ECA) designed to help a team to develop its Transactive Memory System (TMS), that is a mental representation of the distribution of knowledge between the team members. The ECA acted two different leadership styles: the Transformational and the Transactional style, respectively. Results show in some cases that both leadership styles were perceived to increase the TMS of the team, without significant differences between the two. This work will be extended, in the future, by evaluating other types of interventions (e.g. human- and message-based), and it is a first step towards our research goal of developing an effective team-assisting agent.; Des équipes plongées dans une tâche de résolution de problèmes pourraient bénéficier de soutien afin de développer de bonnes représentations mentales de leurs connaissances qui faciliteraient leur travail. Dans cet article, nous initions le travail de conception d’un agent conversationnel animé jouant le rôle de leader et capable d’aider une équipe à développer son système de mémoire transactive (SMT). Nous avons mené une étude de la littérature afin d’identifier des styles de leaderships et de comportements que notre leader virtuel pourrait utiliser et nous avons mené une première étude en ligne sur la perception qu’ont nos participants de l’influence de ces comportements sur l’évolution du SMT d’une équipe en activité. Nos résultats suggèrent un effet positif des deux styles employés par l’agent sur la perception du SMT des équipes, sans différence majeure entre les deux. Dans le futur, nous prévoyons de comparer avec d’autres types d’interventions (message et leader humain) afin de continuer notre travail de conception d’un agent aidant.

Published
2021
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21. Editorial: Virtual agents in virtual reality: design and implications for VR users.

Author

Raimbaud, Pierre, Biancardi, Beatrice, Podkosova, Iana, and Pelachaud, Catherine

Subjects
VIRTUAL design, VIRTUAL reality, VIRTUAL reality software, ARTIFICIAL intelligence
Abstract

This document is an editorial titled "Virtual agents in virtual reality: design and implications for VR users." It discusses the expansion of virtual communication and social relations in society, as well as the use of virtual human agents in virtual environments. The editorial focuses on the design of virtual agents in virtual reality and their impact on VR users. It presents four research papers that explore the effects of specific agent behaviors on user actions and reactions, the physiological responses of VR users to stressful situations, the emotional impact of virtual humanoid characters, and the perception of virtual agents of different races. The editorial concludes by suggesting future research directions in the design and evaluation of virtual agent behavior in VR. [Extracted from the article]

Published
2024
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23. Tu sais qui sait quoi ? Suggestions pour l'étude du système de mémoire transactive dans un groupe à partir des patterns comportementaux et conversationnels

Author

Biancardi, Beatrice, Maisonnave-Couterou, Lou, Mancini, Maurizio, Varni, Giovanna, Département Images, Données, Signal (IDS), Télécom ParisTech, Signal, Statistique et Apprentissage (S2A), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Institut Polytechnique de Paris (IP Paris), Université de Paris (UP), University College Cork (UCC), and CNRS, Université Toulouse Jean Jaurès, Université de Bordeaux

Subjects
système de mémoire transactive, [SHS.SOCIO]Humanities and Social Sciences/Sociology, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.PSYC]Cognitive science/Psychology, [SCCO.COMP]Cognitive science/Computer science, [SHS.PSY]Humanities and Social Sciences/Psychology, Analyse des groupes, analyse du comportement, analyse du signal social
Abstract

International audience; Le Système de Mémoire Transactive (TMS) représente la division coopérative du travail permettant au groupe d’apprendre. Les processus psychologiques sous-tendant le TMS ont fait l’objet de nombreuses études, pourtant peu de chercheurs se sont interrogés sur la pertinence des indices comportementaux dans la prédiction du niveau de TMS au sein d’un groupe. Cet article suit alors deux objectifs : la présentation d’une méthodologie permettant la reproduction des différentes phases du TMS (i.e. encodage, stockage et récupération) et le recueil des données concernant les interactions d’un groupe pendant une tâche commune. Par ailleurs, nous relevons ces données à partir de mesures objectives (i.e. F-formation, distance interpersonnelle, tour de parole) et subjectives (i.e. auto-évaluation). Ainsi, par l’intermédiaire de notre étude, nous tentons de relever des patterns spatiaux et conversationnels pertinents dans la prédiction du niveau de TMS d’un groupe. Nous cherchons notamment à comprendre comment ces différents patterns pourraient être liés aux trois dimensions majeures du TMS (i.e. spécialisation des connaissances, confiance et coordination). Par la suite, nos résultats devraient pouvoir contribuer aux développements de modèles computationnels, mais aussi d’applications fonctionnant en temps réel et pouvant être exploitées dans plusieurs contextes (e.g. équipes chirurgicales, team design, cours en ligne).

Published
2020

24. The WoNoWa Dataset

Author

Biancardi, Beatrice, primary, Maisonnave-Couterou, Lou, additional, Renault, Pierrick, additional, Ravenet, Brian, additional, Mancini, Maurizio, additional, and Varni, Giovanna, additional

Published
2020
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28. Gérer les premières impressions de compétence et de chaleur à travers des indices non verbaux

Author

Biancardi, Beatrice, Cafaro, Angelo, Pelachaud, Catherine, Institut des Systèmes Intelligents et de Robotique (ISIR), and Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

National audience; Dans le contexte du projet IMPRESSIONS, nous avons analysé un corpus d’interactions humain-humain avec des annotations discrètes et continues, pour étudier les indices non verbaux associés aux impressions de chaleur et compétence. Les résultats préliminaires montrent l’association entre les variations de la compétence perçue (augmentation ou diminution) et le sourire, les types de gestes et certaines positions de repos des bras.

Published
2017

33. Laughing with a Virtual Agent

Author

Pecune, Florian, Biancardi, Beatrice, Ding, Yu, Pelachaud, Catherine, Mancini, Maurizio, Varni, Giovanna, Volpe, Gualtiero, Camurri, Antonio, HAL, TelecomParis, Multimédia (MM), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Traitement du Signal et des Images (TSI), Télécom ParisTech-Centre National de la Recherche Scientifique (CNRS), and Signal, Statistique et Apprentissage (S2A)

Subjects
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2015

34. LOL — Laugh Out Loud

Author

Pecune, Florian, primary, Biancardi, Beatrice, additional, Ding, Yu, additional, Pelachaud, Catherine, additional, Mancini, Maurizio, additional, Varni, Giovanna, additional, Camurri, Antonio, additional, and Volpe, Gualtiero, additional

Published
2015
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35. A theoretical review of the Proteus effect: understanding the underlying processes.

Author

Martin Coesel A, Biancardi B, and Buisine S

Abstract

Humans' inherent fascination for stories can be observed throughout most of our documented history. If, for a long time, narratives were told through paintings, songs, or literature, recent technological advances such as immersive virtual reality have made it possible for us to interact with storylines and characters in a completely new manner. With these new technologies came the need to study how people interact with them and how they affect their users. Notably, research in this area has revealed that users of virtual environments tend to display behaviors/attitudes that are congruent with the appearance of the avatars they embody; a phenomenon termed the Proteus effect. Since its introduction in the literature, many studies have demonstrated the Proteus effect in various contexts, attesting to the robustness of the effect. However, beyond the first articles on the subject, very few studies have sought to investigate the social, affective, and cognitive mechanisms underlying the effect. Furthermore, the current literature appears somewhat disjointed with different schools of thought, using different methodologies, contributing to this research topic. Therefore, this work aims to give an overview of the current state of the literature and its shortcomings. It also presents a critical analysis of multiple theoretical frameworks that may help explain the Proteus effect. Notably, this work challenges the use of self-perception theory to explain the Proteus effect and considers other approaches from social psychology. Finally, we present new perspectives for upcoming research that seeks to investigate the effect of avatars on user behavior. All in all, this work aims to bring more clarity to an increasingly popular research subject and, more generally, to contribute to a better understanding of the interactions between humans and virtual environments., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Martin Coesel, Biancardi and Buisine.)

Published
2024
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