Yucheng Jin

schoolHong Kong Baptist Universitybar_chart#1830 Global Rank

Total Papers

HCI Rank

#1830

Research Areas

Years Active

Recent Publications

Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults

Music-based reminiscence has the potential to positively impact the psychological well-being of older adults. However, the aging process and physiological changes, such as memory decline and limited verbal communication, may impede the ability of older adults to recall their memories and life experiences. Given the ad…

CHI '244th AuthorMental Health Apps & Online Support Communities +1

Understanding Human-AI Collaboration in Music Therapy Through Co-Design with Therapists

The rapid development of musical AI technologies has expanded the creative potential of various musical activities, ranging from music style transformation to music generation. However, little research has investigated how musical AIs can support music therapists, who urgently need new technology support. This study u…

CSCW '231st AuthorMental Health II

Understanding Disclosure and Support in Social Music Communities for Youth Mental Health

Online music platforms that embed social features are enabling the creation of supportive social communities where many young people disclose their distressing feelings and seek support. However, there is a limited understanding of the content young people disclose or the support they may provide in such social music…

CHI '232nd AuthorConversational Chatbots +1

"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music

Music can affect the human brain and cognition. Melodies and lyrics that resonate with us can awaken our inner feelings and thoughts; being in touch with these feelings and expressing them allow us to understand ourselves better and increase our self-awareness. To support self-awareness elicited by music, we designed…

CSCW '223rd AuthorOnline Platforms; Online Platforms

A Systematic Review of Interaction Design Strategies for Group Recommendation Systems

Systems involving artificial intelligence (AI) are protagonists in many everyday activities. Moreover, designers are increasingly implementing these systems for groups of users in various social and cooperative domains. Unfortunately, research on personalized recommendation systems often reports negative experiences d…

CHI '222nd AuthorHonorable MentionConversational Chatbots +3

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

Conversational recommender systems (CRSs) imitate human advisors to assist users in finding items through conversations and have recently gained increasing attention in domains such as media and e-commerce. Like in human communication, building trust in human-agent communication is essential given its significant infl…

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