Title:
Attractiveness and Confidence in Walking Style of Male and Female Virtual Characters
Thaler, A. et al. (2020) Attractiveness and Confidence in Walking Style of Male and Female Virtual Characters.
Animated virtual characters are essential for many applications. The authors examined the relationship between gender differences in walking style and the attractiveness and confidence of male and female avatars.
Use the MoSh algorithm to generate realistic virtual characters for interactive VR games, tutoring games, training, and general interfaces. They also looked at confidence and attractiveness.
Human movement contains a wealth of socially relevant information, such as a person’s identity, health, and biological sex. The exaggerated masculine walking style is defined by a wide stride, pronounced shoulder swing, and elbows held away from the body.
They used the walking movements of 50 men and 50 women from a motion capture database to create 100 virtual walkers.
Correlations were calculated between the coefficients of each linear discriminant function and participants’ ratings of attractiveness and confidence.
-Analysis showed a strong correlation between the ratings of animated characters and sketches and the ratings of animated and static characters.
Sexual dimorphism in walking patterns governs the female attractiveness of animated characters and sketches and the male confidence of animated characters and graphics. Research has also found that increasing vertical movement of the body is crucial to women’s confidence.
They investigated the relationship between perceived attractiveness and confidence and avatars’ body shape and walking movements. They found that sexual dimorphism in walking style had a more significant impact on female beauty than male attractiveness.
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Title:
Investigating how speech and animation realism influencethe perceived personality of virtual characters and agents
Thomas, S. et al. (2022) Investigating how speech and animation realism influence the perceived personality of virtual characters and agents
Use performance capture data to explore how features of speech and animation drive the depiction of personality. The processing of speech and movement had mixed effects on these traits, with the direction being dominant in describing extraversion and speech being dominant in communicating pleasantness and emotional stability.
Virtual characters and agents digitally represent humans in various environments, including computer games and movies, mentors, streamers, doctors, and 3D virtual assistants. Understanding how verbal and non-verbal characteristics influence the perceived personality of virtual agents is essential for extended reality (XR) innovators.
Nonverbal communication is a very effective way of expressing personality; impressions of some traits can be formed with minimal short-term information, while others require extended periods or repeated exposure. Explore how language and movement patterns influence personality portrayal using a full-body motion capture dataset and simultaneous unscripted dialogue recordings. Higher action fidelity conveyed extraversion, whereas lower commitment conveyed conscientiousness.
Research shows that personality judgments influence people’s trust, behavior, and interactions with virtual characters and agents. Non-verbal features such as body shape, attractiveness, and posture contribute to our interpretation of personality, as do verbal elements such as voice patterns and rhythm. The content and wording of a speech may influence the perceived degree of extraversion. In contrast, personality in the address has less to do with authenticity and more with the speaker’s uniqueness.
The first impression of a seat is formed within the first 12.5 seconds of interaction. People recognize emotions quickly and efficiently through sounds and perceive personalities consistently through brief one-word utterances.
Pennebaker and King believe that language style impacts personality, and appearance is another crucial factor. Understanding the language styles used to generate non-verbal behavioral text can lead to better implementation of personality-driven animations.
The effects of motor and verbal realism on personality were compared and studied, and it was found that vocal information dominated impression formation in all cases, which may be related to politicians speaking more severely and thoughtfully rather than natural and interpersonal relations.