Avatars in mixed-reality meetings: A longitudinal field study of realistic versus cartoon facial likeness effects on communication, task satisfaction, presence, and emotional perception
Georgiana Cristina Dobre , Marta Wilczkowiak , Marco Gillies , Xueni Pan , Sean Rintel
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引用次数: 0
Abstract
We conducted a within-subjects study to examine how realistic faces and cartoon faces on avatars affect communication, task satisfaction, sense of presence, and mood perception in mixed reality meetings. Over the course of two weeks, six groups of co-workers (14 people) held recurring meetings using Microsoft HoloLens2 devices, each person embodying a personal full-body avatar with either a realistic face or cartoon face. Half of the groups started with the realistic face avatar and switched to the cartoon face version halfway through (RC condition), and the other half with the cartoon-face avatar first (CR condition). Results showed that participants in the RC condition may have had higher expectations and more errors in perceiving their colleagues’ moods. Participants in the CR condition reported that the avatars’ appearance mattered less over time and experienced increased comfort and improved identification of their colleagues. Participants rated words, tone of voice, and movement as the most useful cues for perceiving colleagues’ moods, regardless of avatar rendering style. In the RC condition, participants rated gaze as more useful than facial expressions, while in the CR condition, both gaze and facial expressions were rated as the least useful. Results also suggested that participants had more errors when perceiving negative moods in their colleagues, with this trend appearing for most moods, but depending on conditions. Implications of these findings for mixed and virtual reality meetings are discussed. This work contributes to the field of remote collaboration by providing insights from longitudinal data on the impact of avatar appearance on various aspects of work meetings in virtual environments.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
...