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Accepted Papers

16 papers across three sessions, to appear in the UbiComp/ISWC 2026 Adjunct Proceedings.

Wearable & Mobile Sensing for Personal Health and Well-being 08:15 – 09:30

Toward Smartphone-Based Posture Awareness for Physical Well-being under Everyday-Use Conditions
Sora Okano, Naoyuki Morimoto
Mie University, Tsu, Mie, Japan

Can we Evaluate Knee Joint Load from the Kinematics of Other Body Parts during Gait?
Ryoka Hamochi, Zeyu Liu, Guillaume Lopez
Aoyama Gakuin University, Sagamihara/Tokyo, Japan

Smartwatch-Based Chopstick Eating Activities Recognition Using Smartphone-Assisted Labeling
Huisha Yang
Department of Integrated Information Technology, Aoyama Gakuin University, Tokyo, Japan

Oto-Meal: Earable Sensing with PPG and IMU for Personalized Meal Awareness
Yuxuan Hou1, Jiao Li2, Linshan Jiang1, Jin Zhang1
1Southern University of Science and Technology, Shenzhen, Guangdong, China · 2Shenzhen Polytechnic University, Shenzhen, Guangdong, China

Indoor-Outdoor Classification Using Consumer Smartwatch Ambient Light Sensors in Everyday Environments
Thilini Savindya Karunarathna1, Nhung Huyen Hoang1, Joey Villeneuve2, Edward F. Melcer2, Zilu Liang1
1Kyoto University of Advanced Science, Kyoto, Japan · 2Carleton University, Ottawa, Ontario, Canada

Human-Centered & Ambient Computing for Everyday Well-being 12:00 & 14:00

When Should I Poke You? Predicting Opportune Moments for Mobile Interventions Using Passive Sensing
Nilesh Kumar Sahu, Aditya Sneh, Haroon R Lone
Indian Institute of Science Education and Research Bhopal (IISER Bhopal), Bhopal, Madhya Pradesh, India

Supporting Couples' Social Well-being in Daily Life: A Needs Assessment and Co-design with Co-located Couples
Yuna Naito, Timothy Bickmore, Varun Mishra, Matthew S. Goodwin
Northeastern University, Boston, Massachusetts, United States

Noisync: Noise-Aware Schedule Coordination for Multi-Family Housing
Donghyeon Kang, Jaewoong Jang, Inseok Hwang
POSTECH, Pohang, Republic of Korea

Predicting Family Educational Climate from Naturalistic Audio Sensing of Parent–Child Homework Interactions
Changcheng Wang1, Zihui Wang2, Yajun Zhang3, Yuntao Wang4, Shantanu Pal5, Nan Gao6, Haining Zhang6
1Shanghai Jiao Tong University, Shanghai, China · 2University College London, London, United Kingdom · 3University of Macau, Macau, China · 4Tsinghua University, Beijing, China · 5Deakin University, Melbourne, Australia · 6Nankai University, Tianjin, China

CallSense: Sensing Call Engagement in Privacy-Constrained Call Center Environment with Commodity Smartwatches
Bonwoo Koo, Junmo Lee, Uichin Lee
KAIST, Daejeon, Republic of Korea

Space Enhanced ReID: Fast and Discriminative Person Search for Ambient Assisted Living
Xiaohao Xie1, Wenhua Jiao1,2, Bo Yu1
1China University of Mining and Technology, Xuzhou, Jiangsu, China · 2Inner Mongolia Normal University, Hohhot, China

Trustworthy & Adaptive AI for Health and Well-being 16:00 – 17:15

ReliaGate: Reliability Routing for Low-Stakes Wearable Stress Prediction
Jaden Moon, Yu Wu, Arvind Pillai, Andrew Campbell
Dartmouth College, Hanover, New Hampshire, United States

Towards Trustworthy Agentic AI for Automated Wearable-Based Health Monitoring
Yuwei Zhang, Alex Loh, Qiang Yang, Cecilia Mascolo
University of Cambridge, Cambridge, United Kingdom

A Triangulate-and-Audit Framework for Measuring Depression-Indicative Self-Disclosure in YouTube Comments
Rosemary Li, Nuo Chen, Shenghan Gao, Zhihan Jiang
Columbia University, New York, New York, United States

Hallucinate or Omit? Safety Trade-offs in LLM-Generated Health Interpretations from Wearable Data
Xiuze Dong1, Zhao Wang1, Maosheng He1, Wenxin Chen2, Jiahui Liu1, Qian Cheng1, Runze Zhou1
1Beijing Electronic Science and Technology Institute, Beijing, China · 2Shanghai University, Shanghai, China

Protocol-Aware Test-Time Adaptation: Characterizing Stream Structure and Batch Normalization in Wearable Emotion Recognition
Shinsaku Takeuchi, Wataru Sasaki, Tomokazu Matsui, Hirohiko Suwa, Keiichi Yasumoto
Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan