activity
20162024
most citedUnderstanding Human-AI Collaboration in Music Therapy Through Co-Design with Therapists

30 citations · 147 across the 32 of their papers we have counts for

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8 papers · 1 filter

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.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…

cs.HC202319 cited

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences

Mengdi Chu, Keyu Zong, Xin Shu +5

The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions.…

cs.HC2023

Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals

Chen Zheng, Muxiao Zi, Wenjie Jiang +5

As autonomous driving systems prevail, it is becoming increasingly critical that the systems learn from databases containing fine-grained driving scenarios. Most databases currentl…