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Jean Y. Song
Jean Y. Song
Assistant Professor, DGIST
Bekræftet mail på dgist.ac.kr - Startside
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Efficient elicitation approaches to estimate collective crowd answers
JJY Chung, JY Song, S Kutty, S Hong, J Kim, WS Lasecki
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-25, 2019
312019
Two tools are better than one: Tool diversity as a means of improving aggregate crowd performance
JY Song, R Fok, A Lundgard, F Yang, J Kim, WS Lasecki
23rd International Conference on Intelligent User Interfaces, 559-570, 2018
222018
Improving crowd-supported gui testing with structural guidance
Y Chen, M Pandey, JY Song, WS Lasecki, S Oney
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
182020
Popup: reconstructing 3D video using particle filtering to aggregate crowd responses
JY Song, SJ Lemmer, MX Liu, S Yan, J Kim, JJ Corso, WS Lasecki
Proceedings of the 24th International Conference on Intelligent User …, 2019
132019
Personalizing Ambience and Illusionary Presence: How People Use “Study with me” Videos to Create Effective Studying Environments
Y Lee, JJY Chung, JY Song, M Chang, J Kim
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
62021
C-reference: Improving 2D to 3D object pose estimation accuracy via crowdsourced joint object estimation
JY Song, JJY Chung, DF Fouhey, WS Lasecki
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), 1-28, 2020
62020
FourEyes: Leveraging Tool Diversity as a Means to Improve Aggregate Accuracy in Crowdsourcing
JY Song, R Fok, J Kim, WS Lasecki
ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (1), 1-30, 2019
62019
Human-in-the-loop pose estimation via shared autonomy
Z Ye, JY Song, Z Sui, S Hart, J Vilchis, WS Lasecki, OC Jenkins
26th International Conference on Intelligent User Interfaces, 387-391, 2021
52021
Yilei An, and Walter S. Lasecki. 2017. Towards hybrid intelligence for robotics
S Gouravajhala, JY Song, J Yim, R Fok, Y Huang, F Yang, K Wang
Proceedings of the Collective Intelligence Conference (CI’17), 2017
52017
Crowdsourcing More Effective Initializations for Single-Target Trackers Through Automatic Re-querying
SJ Lemmer, JY Song, JJ Corso
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
22021
Promptiverse: Scalable Generation of Scaffolding Prompts Through Human-AI Hybrid Knowledge Graph Annotation
Y Lee, JJY Chung, TS Kim, JY Song, J Kim
CHI Conference on Human Factors in Computing Systems, 1-18, 2022
12022
FLUID-XP: flexible user interface distribution for cross-platform experience
S Lee, H Lee, H Kim, S Lee, JW Choi, Y Lee, S Lee, A Kim, JY Song, S Oh, ...
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
12021
Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents
D Ramesh, AZ Liu, AJ Echeverria, JY Song, NR Waytowich, WS Lasecki
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
12020
Towards Universal Evaluation of Image Annotation Interfaces
AM Vernier, JY Song, E Sun, A Kench, WS Lasecki
The Adjunct Publication of the 32nd Annual ACM Symposium on User Interface …, 2019
12019
Tool Diversity as a Means of Improving Aggregate Crowd Performance on Image Segmentation Tasks
JY Song, R Fok, F Yang, K Wang, A Lundgard, WS Lasecki
12017
ModSandbox: Facilitating Online Community Moderation Through Error Prediction and Improvement of Automated Rules
JY Song, S Lee, J Lee, M Kim, J Kim
arXiv preprint arXiv:2210.09569, 2022
2022
A-mash: providing single-app illusion for multi-app use through user-centric UI mashup
S Lee, H Kim, S Kim, S Lee, H Kim, JY Song, SY Ko, S Oh, I Shin
Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022
2022
XDesign: Integrating Interface Design into Explainable AI Education
H Shin, N Sindi, Y Lee, J Ka, JY Song, J Kim
Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022
2022
Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An MCity Pilot
W Lasecki, R Hampshire, S Bao
University of Michigan, Ann Arbor, Transportation Research Institute, 2020
2020
인터랙티브한 대용량 이미지 군집분석을 위한 인간-기계 협업 워크플로우에 대한 연구
JY Song, M Chang, A Thakur, M Rao, J Kim
한국정보과학회 학술발표논문집, 1244-1246, 2018
2018
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