AniBalloons: Animated chat balloons as affective augmentation for social messaging and chatbot interaction
Despite being prominent and ubiquitous, message-based communication is limited in nonverbally conveying emotions. Besides emoticons or stickers, messaging users continue seeking richer options for affective communication. Recent research explored using chat-balloons’ shape and color to communicate emotional states . However, little work explored whether and how chat-balloon animations could be designed to convey emotions. We present the design of AniBalloons, 30 chat-balloon animations conveying Joy, Anger, Sadness, Surprise, Fear, and Calmness. Using AniBalloons as a research means, we conducted three studies to assess the animations’ affect recognizability and emotional properties ( N = 40 ), and probe how animated chat-balloons would influence communication experience in typical scenarios including instant messaging ( N = 72 ) and chatbot service ( N = 70 ). Our exploration contributes a set of chat-balloon animations to complement nonverbal affective communication for a range of text-message interfaces, and empirical insights into how animated chat-balloons might mediate particular conversation experiences (e.g., perceived interpersonal closeness, or chatbot personality). • 30 chat balloon animations convey basic emotios with nuanced expression. • Animated balloons enhance affective communication (e.g., closeness) in messaging. • Animated balloons affect chatbot likability, expressivity, and perceived personality.
Authors
- Pengcheng An (ORCID: https://orcid.org/0000-0002-7705-2031)
- Jian Tao Zhao (ORCID: https://orcid.org/0000-0001-5008-4319)
- Haichen Gao (ORCID: https://orcid.org/0000-0001-6194-3094)
- Chaoyu Zhang (ORCID: https://orcid.org/0000-0001-9881-3605)
- Ziqi Zhou (ORCID: https://orcid.org/0000-0002-0861-1805)
- Yage Xiao (ORCID: https://orcid.org/0000-0003-4972-4870)
Institutions
- University of Waterloo (CA)
- City University of Hong Kong (HK)
- Southern University of Science and Technology (CN)
Publication Details
- Journal
- International Journal of Human-Computer Studies
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1016/j.ijhcs.2024.103365
- Citations
- 7
- Primary Topic
- Digital Communication and Language
- Type
- article
- Field-Weighted Citation Impact
- 2.60