3rd International Workshop · UbiComp/ISWC 2026

XAI for U 2026

Explainable AI for Ubiquitous, Pervasive and Wearable Computing. A workshop on transparency for AI systems embedded in the things we wear, carry, and live with.

Monday, 12 October 2026 · Shanghai, China Submissions closed
A pen-and-ink illustration: signals flow from a model on the left through small reasoning structures (a decision tree, a SHAP-style bar chart, a magnifying glass over a signal trace) toward a constellation of devices — smartwatch, smartphone, smart glasses, smart home, microphone.
About the workshop

Transparency for AI in the things we wear, carry, and live with.

In conjunction with UbiComp/ISWC’26 · Shanghai, China

The XAI for U workshop addresses the need for transparency in AI systems increasingly integrated into mobile devices, wearables, and smart environments, many of which remain opaque to users, designers, and stakeholders—undermining trust and adoption. The workshop focuses on Explainable AI (XAI) tools tailored to this domain and its distinctive challenges: generating explanations for time-series and multimodal data, interpreting interconnected machine learning pipelines, and delivering user-centered explanations. By bringing together researchers across related disciplines, it aims to share recent advances, surface open challenges, and propose future research directions, so that AI-driven ubiquitous solutions become not only more explainable but also better aligned with user expectations and ethical standards.

Topics of Interest

Call for Papers

Original research, insightful case studies, and work-in-progress on XAI approaches for ubiquitous and wearable computing, including but not limited to:

01
XAI for time-series, multimodal and sensor-based models

Explanation methods tailored to wearable and IoT settings, including multivariate time-series and heterogeneous sensor streams.

02
Interpretability of interconnected ML pipelines

Explaining end-to-end pipelines (pre-processing, segmentation, classification) rather than individual models in isolation.

03
User-centred, personalised and context-aware explanations

Explanation strategies that adapt to user needs, context, and the dynamic environments typical of ubiquitous systems.

04
Evaluation of XAI: user studies, faithfulness, trust calibration

Empirical evaluation of explanations, including faithfulness metrics, user studies, and over- or under-reliance on decision-support tools.

05
On-device deployment, privacy, fairness and governance

Deploying XAI on resource-constrained wearable devices, with attention to privacy, fairness, and alignment with the EU AI Act.

06
XAI for health, well-being, activity recognition and smart environments

Domain applications of XAI in healthcare, mental health, human activity recognition, and smart-home/smart-environment systems.

07
Symbolic, neuro-symbolic and LLM-driven explanation generation

Approaches that combine symbolic reasoning, neuro-symbolic models, and LLMs for generating and verbalising explanations.

Submissions are closed

Thank you to all authors for their contributions. The programme features 5 full papers and 3 short papers, presented at the workshop in Shanghai, China, in conjunction with UbiComp/ISWC’26.

For registration information, fees, and deadlines, please visit the UbiComp'26 registration page.

View the schedule

Paper format

Submissions follow the ACM sigconf template, single-blind, in English. See the UbiComp/ISWC'26 formatting guidelines for details.

Full papers: up to 6 pages (including references). Submitted via PCS. Peer-reviewed; accepted full papers will be published in the ACM Digital Library and Adjunct Proceedings.

Short submissions: up to 4 pages (including references). Submitted via HotCRP. Accepted short submissions will not be published in the ACM Digital Library or Adjunct Proceedings, but will be listed on this website.

Poster abstracts: 1-page abstract describing an XAI-related paper accepted at the UbiComp/ISWC'26 main conference. Submitted via HotCRP. Listed on this website only.

At least one author of each accepted contribution must register and present in person.

Important Dates (AoE)

Tentative — will be finalised when the call for papers is released.

Submission deadline:
Full (6 pages): July 16, 2026
Short (4 pages) & Poster abstracts: August 12, 2026

Notification of acceptance:
Full (6 pages): July 31, 2026
Short (4 pages) & Poster abstracts: Rolling basis (not later than August 10, 2026)

Camera-ready deadline:
Full (6 pages): August 20, 2026 (ACM DL hard deadline)
Short (4 pages) & Poster abstracts: August 20, 2026

Workshop date: Monday, 12 October 2026

Submission

Submissions are closed. Authors of accepted contributions can manage their submission on the relevant platform below.

Archival track (full papers) — PCS. After logging in, use the dropdown menus at the top of the page and select: SIGCHI → Ubicomp/ISWC Workshop 2026 → Ubicomp/ISWC Workshop 2026 XAI for U 2026.

Non-archival tracks (short papers and poster abstracts) — HotCRP. The site has one entry point per submission type; choose the appropriate one when starting a new submission.

For registration information, fees, and deadlines, please visit the UbiComp'26 registration page.

Monday, 12 October 2026
08:30 — 12:30followed by lunch until 14:00
UbiComp/ISWC 2026 · Shanghai

Schedule

See the accepted papers; the presentation order will be announced soon.

08:30 — 08:45
Welcome
08:45 — 09:30
Keynote by Prof. Jat SinghUniversity of Cambridge · RC-Trust, University Alliance Ruhr — followed by Q&A
09:30 — 10:30
Oral presentations — Part 14 full papers · 15 min each (12 min talk + 3 min Q&A)
10:30 — 11:00
Coffee break + Poster tour
11:00 — 11:35
Oral presentations — Part 21 full paper (12 min talk + 3 min Q&A) + 3 short papers · 5 min each, followed by a 5 min joint Q&A
11:35 — 12:00
Breakout group discussions3–4 themes drawn from the keynote and morning presentations
12:00 — 12:15
Group read-out2–3 slides per group, presented to the full audience
12:15 — 12:30
Conclusion and farewell
12:30 — 14:00
Lunch break
Invited Talk

Keynote

Prof. Jat Singh
Prof. Jat Singh
University of Cambridge, UK · RC-Trust, University Alliance Ruhr, Germany

Ubicomp and the Realities of Meaningful Transparency: Lessons from the Consumer IoT
Workshop programme

Accepted Papers

Listed alphabetically by title within each track. The presentation order will be announced with the final schedule.

Full papersArchival track · 5

01

Beyond Plausibility and Informativeness: Evaluating Utility and Faithfulness of LLM Explanations in Digital Mental Health

Prasan Yapa, Ashala Senanayake, Zilu Liang

02

Cryptographically Attested Explanations: Lightweight AEAD as a Trust Anchor for XAI on Wearable Devices

Jianxin Wang, Runze Zhou, Zixuan Wang, Chaoen Xiao, Lei Zhang, Maosheng He, Zhao Wang, Qian Cheng

03

Explainable AI for Adolescent Mental Health via Wearable and Mobile Sensing: A Review of Reviews

Yassine Oueslati, Georgiana Juravle, Maroje Sorić, Marc Langheinrich, Martin Gjoreski

04

PAX-HAR: Robust and Calibrated Explanations Across Wearable Sensing Pipelines

Xiuze Dong, Maosheng He, Zhao Wang, Kangfei Xiao, Runze Zhou, Qian Cheng

05

When Wearables Disagree: A Systematic Probe of Large Language Models’ Ability to Arbitrate and Explain Cross-Sensor Conflicts in Human Activity Recognition

Xiuze Dong, Zhao Wang, Maosheng He, Wenxin Chen, Kangfei Xiao, Qian Cheng, Runze Zhou

Short papersNon-archival track · 3

01

An Inspectable Neuro-Symbolic Pipeline for Routine Elicitation in Conversational Health Coaching

Shakyani Jayasiriwardene, Blake Mountford, Meican Ma, Weiwei Jiang, Niels van Berkel, Nicholas Koemel, Matthew Ahmadi, Jorge Goncalves, Emmanuel Stamatakis, Anusha Withana, Zhanna Sarsenbayeva

02

Designing Clinician Centered Explanations for Sensing-based Longitudinal Mental Health Monitoring

Esther Kang, Youngji Koh, Seungwan Jin, Uichin Lee

03

TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback

Chengyu Yu, Leon Jacopo Costa, Zoja Anžur, Mohan Li, Gašper Slapničar, Daniil Kirilenko, Martin Gjoreski, Mitja Luštrek, Marc Langheinrich

Who is behind the workshop

Organising Committee

Francesco Bombassei De Bona

Francesco Bombassei De Bona

Università della Svizzera italiana, Switzerland

Youssef Mahmoud Youssef

Youssef Mahmoud Youssef

Bonn-Rhein-Sieg University of Applied Sciences, Germany

Noah Jones

Noah Jones

MIT Media Lab, USA

Mandani Ntekouli

Mandani (Mado) Ntekouli

Maastricht University, The Netherlands

Brian Lim

Brian Y. Lim

National University of Singapore, Singapore

Sang Won Bae

Sang Won Bae

Stevens Institute of Technology, USA

Steering Committee

Ensuring continuity with prior editions and broader UbiComp expertise.

Martin Gjoreski

Martin Gjoreski

Università della Svizzera italiana, Switzerland

Teena Hassan

Teena Hassan

Bonn-Rhein-Sieg University of Applied Sciences, Germany

Mor Vered

Mor Vered

Monash University, Australia

Marc Langheinrich

Marc Langheinrich

Università della Svizzera italiana, Switzerland

With support from

Acknowledgements

We gratefully acknowledge the financial support for this workshop:

Swiss National Science Foundation (SNSF) — Project XAI-PAC: Towards Explainable and Private Affective Computing (PZ00P2_216405)

Ministerium für Kultur und Wissenschaft (MKW) des Landes Nordrhein-Westfalen (NRW) — “Profilbildung 2022” project: Zentrum Assistive Technologien Rhein-Ruhr

Get in touch

Contact

francesco.bombassei.de.bona@usi.ch