From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems-Reference-Cited by-同舟云学术

From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized Systems

Published:2023-10-29 Issue: Volume: Page:
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Container-title:Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
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Author:

Chen Weihao¹^ORCID,Yu Chun¹^ORCID,Wang Huadong¹^ORCID,Wang Zheng¹^ORCID,Yang Lichen¹^ORCID,Wang Yukun¹^ORCID,Shi Weinan¹^ORCID,Shi Yuanchun¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3586183.3606741

Reference46 articles.

1. Optimization of Volume & Brightness of Android Smartphone through Clustering & Reinforcement Learning (“RE-IN”)

2. Active Volume Control in Smart Phones Based on User Activity and Ambient Noise

3. Guidelines for Human-AI Interaction

4. Discovering frequent user--environment interactions in intelligent environments

5. Louise Barkhuus. 2004. The Context Gap: An Essential Challenge to Context-Aware Computing. Ph. D. Dissertation. Louise Barkhuus. 2004. The Context Gap: An Essential Challenge to Context-Aware Computing. Ph. D. Dissertation.

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