2025· EduRobotX@EC-TEL· pp. 44-52· 0 citations· 14 references
Computer Science
TL;DR
Both the motivational potential and the emotional risks of competitive, sound-based interaction in educational human–robot interaction are demonstrated and technical reliability and transparent feedback are highlighted, highlighting that technical reliability and transparent feedback are not merely engineering concerns but core enablers of sustainable engagement.
It is argued that emotion recognition alone is insufficient; context-sensitive strategy adaptation is required for safe and effective multimodal support.
Wei-Yi Tian, Safak Dogan, Jie Meng· Companion Publication of the...· 0 citations
A Role-aware Stimulus-guided (RASG) framework for interlocutor emotion recognition, which predicts listener emotions from listener-only videos and speaker-only audios, and achieves 76.25% on MER-Cross and improves the performance of the baseline over 17\%.
Wei Wang, Zhao-Wu Li, Jian-Jie Luo et al.· 0 citations
Perceived dominance is an interactional attribute that emerges from observable behaviour during small-group interaction and is systematically perceived by group members. Prior computational work has established audio and conversational-floor features as robust predictors of perceived dominance in meeting corpora, but w...
Anna Obara, Meisam Jamshidi Seikavandi, Karim Haddad et al.· Proceedings of the 6th Inter...· 0 citations
This Work-in-Progress examines whether personality-informed prompting changes perceived LLM emotional support in driving scenarios designed to elicit stress. A condition-order-balanced, within-subject CARLA simulator study (n = 14) compared a baseline with a Driver Personality Profile (DPP) condition; a supplementary o...
Max Mittelstädt, Ece Sutanrikulu, Lumbardh Ljatifi et al.· International Conference on...· 0 citations
Focus-oriented idle games remain open while users work or study, offering music, adjustable scenery, and a digital companion. Drawing on Hartmut Rosa’s theories of social acceleration and resonance, this article presents a qualitative analysis of Chill with You: Lo-Fi Story, combining the game’s text, play records, and...
Zhao-Lu Chen, Xin-Yang Liu· Studies in Media, Journalism...· 0 citations
LLM-based conversational agents generate fluent responses but remain limited in adapting their supportive style to individual personality and emotional needs. We present a Detect–Regulate–Evaluate (D–R–E) architecture that performs turn-by-turn Big Five detection and applies Zurich Model-inspired behavioural regulation...
Duojie Jiahua, Samuel Devdas, Mirjam Stieger et al.· Electronics· 0 citations
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