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Yage Xiao

dblp:351/9515 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 77% Human-AI interaction · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › interpersonal communication
emotional communication
0.912025
AniBalloons: Animated chat balloons as affective augmentation for social messaging and chatbot interaction · Int. J. Hum. Comput. Stud. 2025
Human-AI interaction › conversational agents
chatbot interaction
0.312025
AniBalloons: Animated chat balloons as affective augmentation for social messaging and chatbot interaction · Int. J. Hum. Comput. Stud. 2025

Methods — techniques the papers use, named apart from their topics

user study · 0.9design study · 0.9
YearPublicationVenuePosition
2025 AniBalloons: Animated chat balloons as affective augmentation for social messaging and chatbot interaction
abstract
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).
Pengcheng An, Chaoyu Zhang, Haichen Gao, Ziqi Zhou 0003, Yage Xiao, Jian Zhao 0010
Int. J. Hum. Comput. Stud.5