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Yucheng Jin

Assistant Professor of Computer Science at Duke Kunshan University
DKU Faculty

Selected Publications


The way you assess matters: User interaction design of survey chatbots for mental health

Journal Article International Journal of Human Computer Studies · September 1, 2024 The global pandemic has pushed human society into a mental health crisis, prompting the development of various chatbots to supplement the limited mental health workforce. Several organizations have employed mental health survey chatbots for public mental s ... Full text Cite

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

Conference Conference on Human Factors in Computing Systems - Proceedings · May 11, 2024 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 adu ... Full text Cite

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

Conference Conference on Human Factors in Computing Systems - Proceedings · May 11, 2024 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 the ... Full text Cite

CRS-Que : A User-centric Evaluation Framework for Conversational Recommender Systems

Journal Article ACM Transactions on Recommender Systems · March 31, 2024 An increasing number of recommendation systems try to enhance the overall user experience by incorporating conversational interaction. However, evaluating conversational recommender systems (CRSs) from the user’s perspective remains el ... Full text Cite

Generated Therapeutic Music Based on the ISO Principle

Conference Communications in Computer and Information Science · January 1, 2024 This paper presents an emotion-driven music generation model designed to support the development of an intelligent system to support music therapy informed by the ISO principle [1]. Following the ISO principle, the system’s primary objective is to generate ... Full text Cite

Service-Learning with Intergenerational and Cross-Cultural Social Interactions: A Study of University Students in Hong Kong

Journal Article Journal of Experiential Education · January 1, 2024 Background: Service-learning (SL) is an experiential educational approach integrating community service with academic study and personal growth. It is valued in higher education for enhancing student learning and development. Including intergenerational an ... Full text Cite

Toward parallel intelligence: An interdisciplinary solution for complex systems.

Journal Article Innovation (Cambridge (Mass.)) · November 2023 The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, computa ... Full text Cite

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

Conference Conference on Human Factors in Computing Systems - Proceedings · April 19, 2023 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-aware ... Full text Cite

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

Journal Article Proceedings of the ACM on Human-Computer Interaction · April 16, 2023 Online music platforms that include social networking features sometimes become supportive social communities where young people can disclose their emotional distress and receive support. However, few studies have examined young people's disclosure in soci ... Full text Cite

Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information

Journal Article Information Processing and Management · March 1, 2023 The unprecedented proliferation of online health misinformation poses a potential threat to public health. In recent times, several fact-checking organizations have adopted chatbots to present fact-checking results. However, it is unclear whether chatbots ... Full text Cite

A Systematic Review of Interaction Design Strategies for Group Recommendation Systems

Journal Article Proceedings of the ACM on Human-Computer Interaction · November 11, 2022 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 personali ... Full text Cite

A Diary Study of Social Explanations for Recommendations in Daily Life

Conference UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization · July 4, 2022 We report a diary study of the explanations for the recommendations to characterize the social features in these explanations recorded by five participants over two months. The study reveals several social explanation categories (e.g., personal opinions an ... Full text Cite

Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots

Journal Article IEEE Transactions on Human-Machine Systems · June 1, 2022 Dialogue-based conversational recommender systems (DCRSs) have become a new trend in recommender systems (RSs), allowing users to communicate with the system in natural language to facilitate feedback provision and product exploration. However, little work ... Full text Cite

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems

Conference Conference on Human Factors in Computing Systems - Proceedings · April 29, 2022 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 hu ... Full text Cite

Key Qualities of Conversational Recommender Systems: From Users Perspective

Conference HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction · November 9, 2021 An increasing number of recommender systems enable conversational interaction to enhance the system's overall user experience (UX). However, it is unclear what qualities of a conversational recommender system (CRS) are essential to determine the success of ... Full text Cite

OYaYa: A desktop robot enabling multimodal interaction with emotions

Conference International Conference on Intelligent User Interfaces, Proceedings IUI · April 14, 2021 We demonstrate a desktop robot OYaYa that imitates users' emotional facial expressions and helps users manage emotions. Multiple equipped sensors in OYaYa enable multimodal interaction; for example, it recognizes users' emotions from facial expressions and ... Full text Cite

Critiquing for Music Exploration in Conversational Recommender Systems

Conference International Conference on Intelligent User Interfaces, Proceedings IUI · April 14, 2021 Dialogue-based conversational recommender systems allow users to give language-based feedback on the recommended item, which has great potential for supporting users to explore the space of recommendations through conversation. In this work, we consider in ... Full text Cite

SeatPlus: A Smart Health Chair Supporting Active Sitting Posture Correction

Chapter · January 1, 2021 Nowadays, sedentary and poor sitting postures mainly cause lumbar spine-related diseases for office workers. According to the related medical theory of sitting posture correction, this paper presents a smart chair SeatPlus that actively corrects the poor s ... Full text Cite

CreativeSVG: A Creativity Support Tool for Abstract Background Design with Generative Vector Graphics

Conference CEUR Workshop Proceedings · January 1, 2021 Great graphic designs do not just come out overnight; they take many iterations to polish the design. Designers create different versions of their work and compare the versions in iterations. However, the exploration of different design is time-consuming a ... Cite

Effects of personal characteristics in control-oriented user interfaces for music recommender systems

Journal Article User Modeling and User-Adapted Interaction · April 1, 2020 Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls and visualizations for all users. However, the effectiveness of interactive interfaces for music recommender systems is likely to be affected by individual ... Full text Cite

Path-Based Visual Explanation

Chapter · January 1, 2020 The ability to explain the behavior of a Machine Learning (ML) model as a black box to people is becoming essential due to wide usage of ML applications in critical areas ranging from medicine to commerce. Case-Based Reasoning (CBR) received a special inte ... Full text Cite

MusicBot: Evaluating critiquing-based music recommenders with conversational interaction

Conference International Conference on Information and Knowledge Management, Proceedings · November 3, 2019 Critiquing-based recommender systems aim to elicit more accurate user preferences from users' feedback toward recommendations. However, systems using a graphical user interface (GUI) limit the way that users can critique the recommendation. With the rise o ... Full text Cite

ContextPlay: Evaluating user control for context-aware music recommendation

Conference ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization · June 7, 2019 Music preferences are likely to depend on contextual characteristics such as location and activity. However, most recommender systems do not allow users to adapt recommendations to their current context. We therefore built ContextPlay, a context-aware musi ... Full text Cite

Modeling Human Intelligence in Customer-Agent Conversation Using Fine-Grained Dialogue Acts

Chapter · January 1, 2019 Smart service chatbot, aiming to provide efficient, reliable and natural customer service, has grown rapidly in recent years. The understanding of human-agent conversation, especially modeling the conversational behavior, is essential to enhance the machin ... Full text Cite

Effects of personal characteristics on music recommender systems with different levels of controllability

Conference RecSys 2018 - 12th ACM Conference on Recommender Systems · September 27, 2018 Previous research has found that enabling users to control the recommendation process increases user satisfaction. However, providing additional controls also increases cognitive load, and different users have different needs for control. Therefore, in thi ... Full text Cite

Effects of individual traits on diversity-aware music recommender user interfaces

Conference UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization · July 3, 2018 When recommendations become increasingly personalized, users are often presented with a narrower range of content. To mitigate this issue, diversity-enhanced user interfaces for recommender systems have in the past found to be effective in increasing overa ... Full text Cite

Effects of personal characteristics on music recommender user interfaces

Conference UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization · July 3, 2018 The "black box" nature of today's recommender systems raises a number of challenges for users, including a lack of trust and limited user control. Providing more user control is interesting to enable end-users to help steer the recommendation process with ... Full text Cite

How do different levels of user control affect cognitive load and acceptance of recommendations?

Conference CEUR Workshop Proceedings · January 1, 2017 User control has been recognised as an important feature in recommender system, as it allows users to steer the recommendation process. Most typical user controls relate to providing ratings, editing user data, and adjusting weights of the algorithm. The c ... Cite

A model-based approach for multi-device user interactions

Conference Proceedings - 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016 · October 2, 2016 This paper presents an approach for modeling multi-device user interactions, based on task models. We use Concur- TaskTrees (CTTs) as a domain-specific language, which we extend here by a labeling mechanism to model multi-device interactive applications. W ... Full text Cite

CircleBuy: A visual search based second screen application of buying products in videos

Conference EICS 2016 - 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems · June 21, 2016 Visual search aims to find information based on visual features of objects, and it is extremely useful when specific keywords for describing an object are unknown. Visual search has been considered as one of the most exciting trends in e-commerce. CircleBu ... Full text Cite

Go with the flow: Effects of transparency and user control on targeted advertising using flow charts

Conference Proceedings of the Workshop on Advanced Visual Interfaces AVI · June 7, 2016 Targeted advertising reaches users based on various traits, such as demographics or behaviour. However, users are often reluctant to accept ads. We hypothesise that users are more open to targeted advertising if they can inspect, control and thereby unders ... Full text Cite

A multi-display system for deploying and controlling home automation

Conference ITS 2014 - Proceedings of the 2014 ACM International Conference on Interactive Tabletops and Surfaces · November 16, 2014 In this paper, we present a concept of using a home devices mashup tool to wire home devices on a tabletop display in combination with web based UIs on mobile devices to control home devices. This concept is realized by a multi-display system supported by ... Full text Cite

Adaptive user interfaces for smart environments with the support of model-based languages

Chapter · January 1, 2012 This article presents a solution for supporting adaptive user interfaces in work environments. Its architecture is built upon the concept of model-based UI design extended by context aware and adaptive features. Model-based languages provide the software d ... Full text Cite

User-centered evaluation of an adaptive user interface in the context of warehouse picking

Conference CEUR Workshop Proceedings · January 1, 2012 Although nowadays adaptive user interfaces (AUIs) can be found in many applications, many downsides and jeopardies of AUIs are not yet sufficiently researched. We take a user-centered design in the development of an adaptive application and demonstrate tha ... Cite