Animated Agents’ Facial Emotions: Does the Agent Design Make a Difference?

Adamo, Nicoletta; Dib, Hazar; Villani, Nicholas J.

doi:10.1007/978-3-030-25965-5_2

Cited by 7 publications

(4 citation statements)

References 39 publications

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“…Despite the lack of significant effect of emotion type in this case, it was observed that although normal happiness was rated as the sincerest, the extreme version was considered to be the most ironic. There is potentially a mismatch between the happy emotion, which generally contributes to sincerity (Adamo et al, 2019), and the lack of sincerity of extreme intensity of the facial action, which can create a stronger feeling that the digital human is being ironic.…”

Section: Results Of Experimentsmentioning

confidence: 99%

“…Facial expressions are part of the kinesics group of visual social cues and gestures. The face can produce three kinds of signals that can all be sources of information (Adamo et al, 2019). These are static (long-term features like shape), rapid (muscle movement, such as facial expressions), and slow signals (changes over time like wrinkles).…”

Section: Microexpressions As An Instance Of Social Cuesmentioning

confidence: 99%

“…At the same time, it is necessary to employ fullbody movements to convey a more apparent sadness or fear (Zell et al, 2019). Exaggerated movements have been explored before, where realistic characters were found to be more likable, appear more extraverted and intelligent when they showed exaggerated motions, while the cartoon characters were more likable and seemed more intelligent when they displayed dampened movements (Adamo et al, 2019).…”

Section: The Roles Of Facial Expressions In Human-eca Interactionmentioning

confidence: 99%

“…While there is a plethora of studies regarding facial expressions of digital humans with a focus on macroexpressions (Adamo et al, 2019;Loveys et al, 2020;Tinwell et al, 2011;Zell et al, 2019), research is more limited when it comes to exploring how ECA's microexpressions affect user perception. It has been suggested that users can recognize the presence of a microexpression, being able to categorize happiness in particular (Queiroz et al, 2014).…”

Section: The Roles Of Facial Expressions In Human-eca Interactionmentioning

confidence: 99%

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Microexpressions in digital humans: perceived affect, sincerity, and trustworthiness

et al. 2022

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Digital agents with human-like characteristics have become ubiquitous in our society and are increasingly relevant in commercial applications. While some of them closely resemble humans in appearance (e.g., digital humans), they still lack many subtle social cues that are important for interacting with humans. Among them are the so-called microexpressions— facial expressions that are short, subtle, and involuntary. We investigate to what extent microexpressions in digital humans influence people's perceptions and decision-making in order to inform the practices of digital human's design. Our two experiments applied four types of microexpressions based on emotion type (happiness and anger) and intensity (normal and extreme). This paper is among the first to design and evaluate microexpressions with different intensity levels in digital humans. In particular, we leverage the possibilities of digitally (re)designing humans and human perception. These possibilities are feasible only in a digital environment, where it is possible to explore various microexpressions beyond real human beings' physical capabilities.

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Section: Results Of Experimentsmentioning

confidence: 99%

Section: Microexpressions As An Instance Of Social Cuesmentioning

confidence: 99%