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

30 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024

"I see it as a wellspring for my positive and upward journey in life.": Understanding Current Practices of Assistive Technology's Customized Modification in China

Kexin Yang, Junyi Wu, Haokun Xin +1

Due to the significant differences in physical conditions and living environments of people with disabilities, standardized assistive technologies (ATs) often fail to meet their ne…

cs.HC2024

TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion

Ruyi Li, Yaxin Zhu, Min Liu +7

Telepresence robots can be used to support users to navigate an environment remotely and share the visiting experience with their social partners. Although such systems allow users…

cs.LG20241 cited

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning

Zhipeng Ma, Zheyan Tu, Xinhai Chen +6

Trajectory representation learning plays a pivotal role in supporting various downstream tasks. Traditional methods in order to filter the noise in GPS trajectories tend to focus o…

cs.HC202412 cited

"It Must Be Gesturing Towards Me": Gesture-Based Interaction between Autonomous Vehicles and Pedestrians

Xiang Chang, Zihe Chen, Xiaoyan Dong +6

Interacting with pedestrians understandably and efficiently is one of the toughest challenges faced by autonomous vehicles (AVs) due to the limitations of current algorithms and ex…

cs.HC202430 cited

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

Jingjing Sun, Jingyi Yang, Guyue Zhou +2

The rapid development of musical AI technologies has expanded the creative potential of various musical activities, ranging from music style transformation to music generation. How…

cs.HC2023

What Makes a Fantastic Passenger-Car Driver in Urban Contexts?

Yueteng Yu, Zhijie Yi, Xinyu Yang +11

The accurate evaluation of the quality of driving behavior is crucial for optimizing and implementing autonomous driving technology in practice. However, there is no comprehensive…