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Main Authors: Wang, Jindu, Cai, Runze, Xu, Shuchang, Hu, Tianrui, Qu, Huamin, Zhao, Shengdong, Yuan, Ling-Ping
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.16323
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author Wang, Jindu
Cai, Runze
Xu, Shuchang
Hu, Tianrui
Qu, Huamin
Zhao, Shengdong
Yuan, Ling-Ping
author_facet Wang, Jindu
Cai, Runze
Xu, Shuchang
Hu, Tianrui
Qu, Huamin
Zhao, Shengdong
Yuan, Ling-Ping
contents Young adults often take breaks from screen-intensive work by consuming digital content on mobile phones, which undermines rest through visual fatigue and inactivity. We introduce a design framework that embeds light break activities into media content on AR smart glasses, balancing engagement and recovery. The framework employs three strategies: (1) seamlessly guiding users by embedding activity cues aligned with media elements; (2) transitioning to audio-centric formats to reduce visual load while sustaining immersion; and (3) structuring sessions with "rise-peak-closure" pacing for smooth transitions. In a within-subjects study (N = 16) comparing passive viewing, reminder-based breaks, and non-narrative activities, InteractiveBreak instantiated from our framework seamlessly guided activities, sustained engagement, and enhanced break quality. These findings demonstrate wearable AR's potential to support restorative relaxation by transforming breaks into engaging and meaningful experiences.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16323
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Wearable AR for Restorative Breaks: How Interactive Narrative Experiences Support Relaxation for Young Adults
Wang, Jindu
Cai, Runze
Xu, Shuchang
Hu, Tianrui
Qu, Huamin
Zhao, Shengdong
Yuan, Ling-Ping
Human-Computer Interaction
Young adults often take breaks from screen-intensive work by consuming digital content on mobile phones, which undermines rest through visual fatigue and inactivity. We introduce a design framework that embeds light break activities into media content on AR smart glasses, balancing engagement and recovery. The framework employs three strategies: (1) seamlessly guiding users by embedding activity cues aligned with media elements; (2) transitioning to audio-centric formats to reduce visual load while sustaining immersion; and (3) structuring sessions with "rise-peak-closure" pacing for smooth transitions. In a within-subjects study (N = 16) comparing passive viewing, reminder-based breaks, and non-narrative activities, InteractiveBreak instantiated from our framework seamlessly guided activities, sustained engagement, and enhanced break quality. These findings demonstrate wearable AR's potential to support restorative relaxation by transforming breaks into engaging and meaningful experiences.
title Wearable AR for Restorative Breaks: How Interactive Narrative Experiences Support Relaxation for Young Adults
topic Human-Computer Interaction
url https://arxiv.org/abs/2602.16323