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Yucheng Jin
Yucheng Jin
Sonstige Namen金 昱成
Assistant Professor, Duke Kunshan University
Bestätigte E-Mail-Adresse bei duke.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Controlling spotify recommendations: effects of personal characteristics on music recommender user interfaces
M Millecamp, NN Htun, Y Jin, K Verbert
Proceedings of the 26th Conference on user modeling, adaptation and …, 2018
972018
Effects of personal characteristics on music recommender systems with different levels of controllability
Y Jin, N Tintarev, K Verbert
Proceedings of the 12th ACM Conference on Recommender Systems, 13-21, 2018
912018
MusicBot: Evaluating critiquing-based music recommenders with conversational interaction
Y Jin, W Cai, L Chen, NN Htun, K Verbert
Proceedings of the 28th ACM International Conference on Information and …, 2019
702019
Effects of personal characteristics in control-oriented user interfaces for music recommender systems
Y Jin, N Tintarev, NN Htun, K Verbert
User Modeling and User-Adapted Interaction 30 (2), 199-249, 2020
672020
How do different levels of user control affect cognitive load and acceptance of recommendations?
Y Jin, BDLRP Cardoso, K Verbert
IntRS@ RecSys, 35-42, 2017
532017
Go with the flow: effects of transparency and user control on targeted advertising using flow charts
Y Jin, K Seipp, E Duval, K Verbert
Proceedings of the international working conference on advanced visual …, 2016
452016
Impacts of personal characteristics on user trust in conversational recommender systems
W Cai, Y Jin, L Chen
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
442022
Contextplay: Evaluating user control for context-aware music recommendation
Y Jin, NN Htun, N Tintarev, K Verbert
Proceedings of the 27th ACM conference on user modeling, adaptation and …, 2019
402019
Effects of individual traits on diversity-aware music recommender user interfaces
Y Jin, N Tintarev, K Verbert
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
362018
Adaptive user interfaces for smart environments with the support of model-based languages
S Bongartz, Y Jin, F Paternò, J Rett, C Santoro, LD Spano
Ambient Intelligence: Third International Joint Conference, AmI 2012, Pisa …, 2012
292012
Critiquing for music exploration in conversational recommender systems
W Cai, Y Jin, L Chen
Proceedings of the 26th International Conference on Intelligent User …, 2021
262021
Display screen or a portion thereof with graphical user interface
YAO Cen, Y Jin
US Patent App. 29/616,326, 2020
242020
Key qualities of conversational recommender systems: From users’ perspective
Y Jin, L Chen, W Cai, P Pu
Proceedings of the 9th International Conference on Human-Agent Interaction …, 2021
212021
Towards parallel intelligence: An interdisciplinary solution for complex systems
Y Zhao, Z Zhu, B Chen, S Qiu, J Huang, X Lu, W Yang, C Ai, K Huang, ...
The Innovation, 2023
192023
Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information
X Zhao, L Chen, Y Jin, X Zhang
Information Processing & Management 60 (2), 103203, 2023
172023
Task-oriented user evaluation on critiquing-based recommendation chatbots
W Cai, Y Jin, L Chen
IEEE Transactions on Human-Machine Systems 52 (3), 354-366, 2022
152022
“Listen to Music, Listen to Yourself”: Design of a Conversational Agent to Support Self-Awareness While Listening to Music
W Cai, Y Jin, X Zhao, L Chen
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
112023
A multi-display system for deploying and controlling home automation
Y Jin, CT Dang, C Prehofer, E André
Proceedings of the Ninth ACM International Conference on Interactive …, 2014
112014
A systematic review of interaction design strategies for group recommendation systems
O Alvarado, NN Htun, Y Jin, K Verbert
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-51, 2022
102022
CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems
Y Jin, L Chen, W Cai, X Zhao
ACM Transactions on Recommender Systems 2 (1), 1-34, 2024
92024
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