Intelligent Expressions of Emotions

Ochs, Magalie; Niewiadomski, Radosław; Pélachaud, Catherine; Sadek, David

doi:10.1007/11573548_91

Cited by 48 publications

(23 citation statements)

References 8 publications

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“…The complexity of the communicative act should be taken into account in human-computer interaction research aiming at modeling and improving such interaction by developing user-friendly applications which should simplify and enrich the end user's ability to interact with automatic systems. Psycholinguistic studies [26,25,43,52,56] have confirmed the complementary nature of verbal and nonverbal aspects in human expressions, demonstrating how visual information processing integrates and supports the comprehension of messages. In the light of these results, several research works on mutual contribution of speech and gesture in communication and on their characteristics have being carried out also in the field of Human Machine Interaction (HMI).…”

Section: Introductionmentioning

confidence: 92%

“…Such studies are mainly devoted to implement synchronization between speech, facial, and body movements in human communicative expressions [30,35,41,45,55,61,73]. Some models include characteristics of emotional expressions [24,33,56] as well as speech and gesture modeling, multimodal recognition and synthesis (virtual agents) of facial expressions, head, hands movements and body postures [1,46,75,32,60,63].…”

Section: Introductionmentioning

confidence: 99%

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Multimodal Human Machine Interactions in Virtual and Augmented Reality

Chollet

Esposito

Gentès

et al. 2009

Multimodal Signals: Cognitive and Algorithmic Issues

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Abstract. Virtual worlds are developing rapidly over the Internet. They are visited by avatars and staffed with Embodied Conversational Agents (ECAs). An avatar is a representation of a physical person. Each person controls one or several avatars and usually receives feedback from the virtual world on an audio-visual display. Ideally, all senses should be used to feel fully embedded in a virtual world. Sound, vision and sometimes touch are the available modalities. This paper reviews the technological developments which enable audio-visual interactions in virtual and augmented reality worlds. Emphasis is placed on speech and gesture interfaces, including talking face analysis and synthesis.

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Multimodal Human Machine Interactions in Virtual and Augmented Reality

Chollet

Esposito

Gentès

et al. 2009

Multimodal Signals: Cognitive and Algorithmic Issues

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, building on this work, Ochs et al (2005) distinguish felt emotions from expressed emotions noting that 'a person may decide to express an emotion different from the one she actually felt because she has to follow some socio-cultural norms'. We believe this direction to be very relevant to the evaluation of conviviality as it dissociates personal feeling from social expression.…”

Section: Role Of Convivialitymentioning

confidence: 99%

How to import the concept of conviviality to web communities

Caire

2010

IJWBC

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While conviviality has simultaneously been defined in the literature as individual freedom realised in personal interdependence, rational and cooperative behaviour and normative instrument, no model has yet been proposed for computer science. In this article, we raise the question of how to import the concept of conviviality to web communities. Firstly, we analyse the concept of conviviality for social science, multi-agent systems and intelligent interface; we show the distinction among various kinds of use of conviviality, the positive outcomes such as social cohesion, trust and participation but also the negative aspects that emerged when conviviality becomes an instrument of power relations. Secondly, we look at the challenges conviviality raises for computer science, starting with a discussion on the misconceptions about conviviality. We then discuss the role of conviviality in multi-agent systems, for example, as a useful high-level modelling concept for organisations and communities. Thirdly, we consider conviviality for computer science environments and discuss the role of awareness, also pointed out by mixed-initiative interaction design; furthermore, we discuss the importance of guidelines to address privacy challenges raised by new technologies. Fourthly, we look at the normative aspect of conviviality as described in the literature, and find that social norms for conviviality parallel legal and institutional norms for digital cities. Finally, we introduce the idea of conviviality measures based on agents' interdependencies.

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“…An expressed emotion need not always correspond to what the user is actually experiencing internally. For example, one can suppress the internal feelings and express some other emotion in order to be consistent with certain socio-cultural norms [23]. Since experienced emotions are felt internally, they may not be easily perceived by others.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions

Srinivasan

Chander

Dam

2017

Intelligent Human Computer Interaction

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Abstract. Conversational user interfaces (CUIs) are rapidly evolving towards being ubiquitous as human-machine interfaces. Often, CUI backends are powered by a combination of human and machine intelligence, to address queries efficiently. Depending on the type of conversation issue, human-to-human conversations in CUIs (i.e. a human end-user conversing with the human in the CUI backend) could involve varying amounts of emotional content. While some of these emotions could be expressed through the conversation, others are experienced internally within the individual. Understanding the relationship between these two emotion modalities in the end-user could help to analyze and address the conversation issue better. Towards this, we propose an emotion analytic metric that can estimate experienced emotions based on its knowledge about expressed emotions in a user. Our findings point to the possibility of augmenting CUIs with an algorithmically guided emotional sense, which would help in having more effective conversations with end-users.

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Intelligent Expressions of Emotions

Cited by 48 publications

References 8 publications

Multimodal Human Machine Interactions in Virtual and Augmented Reality

Multimodal Human Machine Interactions in Virtual and Augmented Reality

How to import the concept of conviviality to web communities

Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions

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