VirtualHuman

Reithinger, Norbert; Gebhard, Patrick; Löckelt, Markus; Ndiaye, Alassane; Pfleger, Norbert; Klesen, Martin

doi:10.1145/1180995.1181007

Cited by 19 publications

(4 citation statements)

References 14 publications

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“…In general, appraisal dimensions are measurement variables that capture information about the levels, quality, and types of influences between the agent and its environment (Reithinger, 2006;Smith & Kirby, 2001). Particularly, Scherer (2001) suggests that they should provide the following information:…”

Section: Appraisal Theories Of Emotionsmentioning

confidence: 99%

“…This computational model has improved the interchange of information through verbal and non-verbal expressions. Particularly, Alma was implemented in the Virtual Human System (Reithinger, 2006), a knowledge-based framework aimed at creating 3D interactive applications for multi-user/agent settings. In these simulations, Alma allowed virtual humans to maintain affective conversations by implementing emotional reactions and expressions.…”

Section: Almamentioning

confidence: 99%

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Cognitive Computational Models of Emotions and Affective Behaviors

Wang

Rodríguez

Ramos

2012

International Journal of Software Science and Computational Intelligence

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Emotions are one of the important subconscious mechanisms that influence human behaviors, attentions, and decision making. The emotion process helps to determine how humans perceive their internal status and needs in order to form consciousness of an individual. Emotions have been studied from multidisciplinary perspectives and covered a wide range of empirical and psychological topics, such as understanding the emotional processes, creating cognitive and computational models of emotions, and applications in computational intelligence. This paper presents a comprehensive survey of cognitive and computational models of emotions resulted from multidisciplinary studies. It explores how cognitive models serve as the theoretical basis of computational models of emotions. The mechanisms underlying affective behaviors are examined as important elements in the design of these computational models. A comparative analysis of current approaches is elaborated based on recent advances towards a coherent cognitive computational model of emotions, which leads to the machine simulated emotions for cognitive robots and autonomous agent systems in cognitive informatics and cognitive computing.

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Section: Appraisal Theories Of Emotionsmentioning

confidence: 99%

Section: Almamentioning

confidence: 99%

Cognitive Computational Models of Emotions and Affective Behaviors

Wang

Rodríguez

Ramos

2012

International Journal of Software Science and Computational Intelligence

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“…One of the most complex spoken dialogue understanding tasks is multi-party dialogues between more than two virtual agents and a group of humans. Our VIRTUAL HUMAN system [25] is based on a complex agent-based dialogue management platform, which allows multimodal turn-taking as well as emotional involvement in controversial and argumentative group discussions. One of the demonstration scenarios for multi-party dialogue understanding of the VIRTUAL HUMAN system allows two human candidates to take part in a football quiz in a virtual sports studio (figure 6).…”

Section: (C) Towards Open-domain and Multi-party Dialogue Systemsmentioning

confidence: 99%

Understanding computational dialogue understanding

Wahlster

2023

Phil. Trans. R. Soc. A.

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In this paper, we first explain why human-like dialogue understanding is so difficult for artificial intelligence (AI). We discuss various methods for testing the understanding capabilities of dialogue systems. Our review of the development of dialogue systems over five decades focuses on the transition from closed-domain to open-domain systems and their extension to multi-modal, multi-party and multi-lingual dialogues. From being somewhat of a niche topic of AI research for the first 40 years, it has made newspaper headlines in recent years and is now being discussed by political leaders at events such as the World Economic Forum in Davos. We ask whether large language models are super-parrots or a milestone towards human-like dialogue understanding and how they relate to what we know about language processing in the human brain. Using ChatGPT as an example, we present some limitations of this approach to dialogue systems. Finally, we present some lessons learned from our 40 years of research in this field about system architecture principles: symmetric multi-modality, no presentation without representation and anticipation feedback loops. We conclude with a discussion of grand challenges such as satisfying conversational maxims and the European Language Equality Act through massive digital multi-linguality—perhaps enabled by interactive machine learning with human trainers. This article is part of a discussion meeting issue 'Cognitive artificial intelligence'.

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“…Early examples of pedagogical avatars are Cosmo a cosmonaut who explains how the internet works, Herman a bug-like creature that teaches children about biology, and STEVE (Johnson & Rickel, 1998), who trains users in operating complex machinery using speech, pointing gestures, and gaze behavior. In Virtual Human project (Reithinger et al, 2006) a virtual teacher gives astronomy lessons by following different pedagogical paradigms and shows a variety of nonverbal behaviors that reflect different parameterized personality settings.…”

Section: Teaching Avatarsmentioning

confidence: 99%

A Study of the Effects of Teaching Avatars on Students' Learning of Surveying Mathematics

Adamo-Villani

Dib

2016

International Journal of Information and Communication Technology Education

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The paper reports a research study aimed at investigating the appeal and pedagogical efficacy of animated teaching avatars. Specifically, the goal of the study was to determine whether animated characters could be effective and engaging teachers in the context of undergraduate surveying mathematics. The study included two forms of evaluation: formative and summative. Findings from the formative evaluation with forty-four undergraduate students show that three animated lectures delivered by a teaching avatar that speaks, gestures and points to a virtual board were perceived as engaging and useful for learning surveying mathematics concepts and procedures. Results of the summative evaluation with fifty-two undergraduate students show that watching the animated avatar lectures led to an increase in subjects' mathematical competence by 31%. The study also compared the animated avatar lectures to interactive 2D visualizations illustrating equivalent surveying math concepts. Findings show that watching the teaching avatar lectures led to significantly higher learning gains.

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VirtualHuman

Cited by 19 publications

References 14 publications

Cognitive Computational Models of Emotions and Affective Behaviors

Cognitive Computational Models of Emotions and Affective Behaviors

Understanding computational dialogue understanding

A Study of the Effects of Teaching Avatars on Students' Learning of Surveying Mathematics

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