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.

11–12 October 2026 · Shanghai, China Submissions opening soon
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 · 11–12 October 2026

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.

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 through the Precision Conference System (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 the workshop's submission form. 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 the workshop's submission form. 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 6, 2026
Short (4 pages) & Poster abstracts: August 4, 2026

Notification of acceptance:
Full (6 pages): July 20, 2026
Short (4 pages) & Poster abstracts: Rolling basis (not later than August 10, 2026)

Camera-ready deadline:
Full (6 pages): July 31, 2026 (ACM DL hard deadline)
Short (4 pages) & Poster abstracts: August 15, 2026

Workshop dates: 11-12 October 2026

Submission

Submissions are not yet open. The call for papers and the full submission instructions will be posted here once available — please check back soon.

Full papers will be submitted via PCS (UbiComp/ISWC 2026 — XAI for U 2026 track).

Short submissions and poster abstracts will be handled through the dedicated upload link below. Please name your file XAIforU2026_<track>_<lastname>.pdf (e.g. XAIforU2026_short_bombassei.pdf or XAIforU2026_poster_ntekouli.pdf).

Submit your paper
activates once submissions are open

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

11–12 October 2026

Schedule

Tentative — the full programme will be finalised after the notification of acceptance.

09:00 — 09:15
Welcome
09:15 — 10:00
Keynote by Prof. Jat SinghUniversity of Cambridge · RC-Trust, University Alliance Ruhr — followed by Q&A
10:00 — 10:30
Oral presentations — Part 1
10:30 — 11:00
Coffee break + Poster tour
11:00 — 11:30
Oral presentations — Part 2
11:30 — 12:15
Breakout group discussions3–4 themes drawn from the keynote and morning presentations
12:15 — 12:30
Group read-out2–3 slides per group, presented to the full audience
12:30 — 12:45
Conclusion and farewell
12:45 — 14:00
Lunch break
Invited Talk

Keynote

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

Talk title and abstract: TBA
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

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