PANDALens: Towards AI-Assisted In-Context Writing on OHMD During Travels

要旨

While effective for recording and sharing experiences, traditional in-context writing tools are relatively passive and unintelligent, serving more like instruments rather than companions. This reduces primary task (e.g., travel) enjoyment and hinders high-quality writing. Through formative study and iterative development, we introduce PANDALens, a Proactive AI Narrative Documentation Assistant built on an Optical See-Through Head Mounted Display that supports personalized documentation in everyday activities. PANDALens observes multimodal contextual information from user behaviors and environment to confirm interests and elicit contemplation, and employs Large Language Models to transform such multimodal information into coherent narratives with significantly reduced user effort. A real-world travel scenario comparing PANDALens with a smartphone alternative confirmed its effectiveness in improving writing quality and travel enjoyment while minimizing user effort. Accordingly, we propose design guidelines for AI-assisted in-context writing, highlighting the potential of transforming them from tools to intelligent companions.

著者
Runze Cai
National University of Singapore, Singapore, Singapore
Nuwan Janaka
National University of Singapore, Singapore, Singapore
Yang Chen
National University of Singapore, Singapore, Singapore
Lucia Wang
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Shengdong Zhao
National University of Singapore, Singapore, Singapore
Can Liu
City University of Hong Kong, Hong Kong, China
論文URL

https://doi.org/10.1145/3613904.3642320

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Writing and AI C

316C
4 件の発表
2024-05-13 23:00:00
2024-05-14 00:20:00