Perception of avatars nonverbal behaviors in virtual reality

Etienne, Elodie; Leclercq, Anne‐Lise; Remacle, Angélique; Dessart, Laurence; Schyns, Michaël

doi:10.1002/mar.21871

Cited by 10 publications

(2 citation statements)

References 83 publications

(107 reference statements)

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“…Team members also might be artificial agents that are persistent and have continuity, independent of people. With the advances in digital technology, artificial agents are increasingly human-like and emotionally responsive ( Etienne et al, 2023 ).…”

Section: Introduction–the (Un)familiar the Fluid And The Metaversementioning

confidence: 99%

Fluid teams in the metaverse: exploring the (un)familiar

Jarvenpaa,

Keating

2024

Front. Psychol.

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The metaverse is a new and evolving environment for fluid teams and their coordination in organizations. Fluid teams may have no prior familiarity with each other or working together. Yet fluid teams are known to benefit from a degree of familiarity–knowledge about teams, members, and working together–in team coordination and performance. The metaverse is unfamiliar territory that promises fluidity in contexts–seamless traversal between physical and virtual worlds. This fluidity in contexts has implications for familiarity in interaction, identity, and potentially time. We explore the opportunities and challenges that the metaverse presents in terms of (un)familiarity. Improved understandings of (un)familiarity may pave the way for new forms of fluid team experiences and uses.

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Section: Introduction–the (Un)familiar the Fluid And The Metaversementioning

confidence: 99%

Fluid teams in the metaverse: exploring the (un)familiar

Jarvenpaa,

Keating

2024

Front. Psychol.

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“…The frequency of gazing away or looking at the presenter is a fundamental indicator of the audience's engagement, such as a bored or interested attitude. Head movements, like nodding in agreement or disagreement, suggest the speaker the audience's opinion (Chollet and Scherer, 2017;Etienne et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Decoupling the role of verbal and non-verbal audience behavior on public speaking anxiety in virtual reality using behavioral and psychological measures

Girondini,

Frigione,

Marra

et al. 2024

Front. Virtual Real.

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Public speaking is a communication ability that is expressed in social contexts. Public speaking anxiety consists of the fear of giving a speech or a presentation and the perception of being badly judged by others. Such feelings can impair the performance and physiological activation of the presenter. In this study, eighty participants, most naive in Virtual Reality experience, underwent one of four virtual reality public speaking scenarios. Four different conditions were tested in a between-group design, where the audience could express positive or negative non-verbal behavior (in terms of body gesture and facial expression), together with positive or adverse questions raised during a question-and-answer session (Q&A). The primary outcomes concerned the virtual audience behavior’s effect on perceived anxiety and physiological arousal. In general, perceived anxiety seemed to be unaffected neither by the verbal nor non-verbal behavior of the audience. Nevertheless, experimental manipulation showed a higher susceptibility to public speaking anxiety in those participants who scored higher on the Social Interaction Anxiety Scale (SIAS) than those with lower Social Interaction Anxiety Scale scores. Specifically, in the case where the verbal attitude was negative, high SIAS trait participants reported a higher level of anxiety. Participants’ physiological arousal was also affected by the proposed scenarios. Participants dealing with an approving audience and encouraging Q&A reported increased skin conductance response. The lack of correlation between reported anxiety and skin conductance response might suggest a physiological engagement in an interactive exchange with the virtual audience rather than a form of discomfort during the task.

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Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms

Khalaf,

Srinivasan,

Algburi

et al. 2024

Engineering Reports

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Interactions between individuals and digital material have completely changed with the advent of the Metaverse. Due to this, there is an immediate need to construct cutting‐edge technology that can recognize the emotions of users and continuously provide material that is relevant to their psychological states, improving their overall experience. An inventive method that combines natural language processing adaptive content generation algorithms and neuro‐fuzzy‐based support vector machines natural language processing (SVM‐NLP) is proposed by researchers to meet this demand. With this merging, the Metaverse will be able to offer highly tailored and engaging experiences. Initially, a neuro‐fuzzy algorithm was developed to identify people's emotional moods from their physiological reactions and other biometric information. Fuzzy Logic and Support Vector Machine work together to manage the inherent ambiguity and unpredictability, which results in a more exact and accurate categorization of emotions. A key component of the ACGA is NLP technology, which uses real‐time emotional data to dynamically modify and personalize characters, stories, and interactive features in the Metaverse. The novelty of the proposed approach lies in the innovative integration of neuro‐fuzzy‐based SVM‐NLP algorithms to accurately recognize and adapt to users' emotional states, enhancing the Metaverse experience across various applications. The proposed method is implemented using Python software. This adaptive approach significantly enhances users' immersion, emotional involvement, and overall satisfaction within the augmented reality environment by tailoring information to their responses. The findings show that the SVM‐NLP emotion identification algorithm based on neuro‐fuzzy, has a high degree of accuracy in recognizing emotional states, which holds promise for creating a Metaverse that is more emotionally compelling and immersive. Stronger human–computer interactions and a wider range of applications, including virtual therapy, educational resources, entertainment, and social media networking, might be made possible by integrating SVM‐NLP. These sophisticated systems are around 92% accurate in interpreting the emotions.

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Perception of avatars nonverbal behaviors in virtual reality

Cited by 10 publications

References 83 publications

Fluid teams in the metaverse: exploring the (un)familiar

Fluid teams in the metaverse: exploring the (un)familiar

Decoupling the role of verbal and non-verbal audience behavior on public speaking anxiety in virtual reality using behavioral and psychological measures

Elevating metaverse virtual reality experiences through network‐integrated neuro‐fuzzy emotion recognition and adaptive content generation algorithms

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