AI for Haptics and Haptics for AI
Challenges and Opportunities

CHI'26 Workshop - April 16, 2026

About The Workshop

About The Workshop

AI has transformed methods and knowledge across many domains. However, the intersection of AI and haptics remains underexplored. While modern AI techniques such as machine learning, generative modeling, and reinforcement learning offer powerful opportunities for advancing haptic design, insights from haptics research such as perception modeling and adaptive interaction — grounded in human touch, embodiment, and multisensory integration — can also play a critical role in shaping more human-centered AI systems. This workshop will bring together an interdisciplinary community of researchers from HCI, haptics, AI, robotics, and design to (1) identify pressing questions in haptics that could benefit from AI approaches and (2) highlight ways in which haptic knowledge can support the development of embodied and context-aware AI. Through position papers and paper presentations, we will map key challenges, exchange methods, and explore new research directions that connect the two fields. By framing haptics and AI as mutually reinforcing, the workshop aims to build a shared research agenda and foster collaborations that advance both the science of touch and the design of intelligent interactive systems.

For more information, please see the workshop proposal.

Where

In-person Workshop at CHI'26

When

Date April 16, 2026

What are the topics covered in the Workshop?

  • AI for Haptics - How can AI techniques advance haptic design, perception modeling, and interaction? What are the key challenges in creating large-scale haptic datasets, representations, and evaluation metrics?
  • Haptics for AI - How can insights from haptics research rooted in embodiment, touch, and multisensory integration inform the development of more human centered and context-aware AI systems?
  • Interdisciplinary Collaboration - What methods, tools, and frameworks can facilitate collaboration between HCI, haptics, AI, and robotics communities to advance both fields?

Workshop Schedule

Total duration: 180 minutes (3 hours)

The workshop consists of lightning talks and dynamic group discussions aimed at fostering collaboration and deeper exploration of AI-haptics intersections.

Introducing the Workshop

Opening remarks, introduction of organizers and agenda

Session 1: Lightning Talks and Discussions

10 lightning talks (3 minutes each: 2 min presentation + 1 min Q&A)

Discussion: AI for Haptics (40 minutes)

Summary of Session 1 (10 minutes)

Break - Coffee and informal networking

Session 2: Lightning Talks and Discussions

10 lightning talks (3 minutes each: 2 min presentation + 1 min Q&A)

Discussion: Haptics for AI (40 minutes)

Summary of Session 2 (10 minutes)

Synthesize and Conclude

Connecting the dots across presented work

Planning next steps for the community

Organizers

Easa AliAbbasi

Easa
AliAbbasi

Max Planck Institute for Informatics
Saarland Informatics Campus

Dennis Wittchen

Dennis
Wittchen

Max Planck Institute for Informatics
Dresden University of Applied Sciences

Yinan Li

Yinan
Li


Arizona State University

Shihan Lu

Shihan
Lu

Northwestern University

Thomas Müller

Thomas
Müller

Hapticlabs
Dresden, Germany

Donald Degraen

Donald
Degraen

HIT Lab NZ
University of Canterbury

Thomas Leimkühler

Thomas
Leimkühler

Max Planck Institute for Informatics
Saarland Informatics Campus

Sang Ho Yoon

Sang Ho
Yoon

Graduate School of Culture Technology
KAIST

Hasti Seifi

Hasti
Seifi

School of Computing and Augmented Intelligence
Arizona State University

Oliver Schneider

Oliver
Schneider

Management Science and Engineering
University of Waterloo

Heather Culbertson

Heather
Culbertson

Department of Computer Science
University of Southern California

Jürgen Steimle

Jürgen
Steimle

Saarland University
Saarland Informatics Campus

Paul Strohmeier

Paul
Strohmeier

Group Leader
Sensorimotor Interaction Group
MPI for Informatics

Position Papers

PDF Robotic Affection - Opportunities of AI-based haptic interactions to improve social robotic touch through a multi-deep-learning approach
Ali Askari (TU Dortmund University, Germany)
Jens Gerken (TU Dortmund University, Germany)
PDF Haptics for Bidirectional Interaction with AI Musical Mappings
Matthew Davison (Dyson School of Design Engineering, Imperial College London, United Kingdom)
PDF AI and Haptics: Toward Perception-Aware Shape-Changing Interfaces
Zhuzhi Fan (University of Bristol, United Kingdom)
Min S. Li (University of Bristol, United Kingdom)
PDF Tangible Intelligence: Exploring the Bidirectional Synergy of AI and Haptics
Roman Heger (University of Duisburg-Essen, Germany)
PDF Shared or Modality-Specific? Representation Strategies for AI-Driven Haptic Design
Kevin John (Arizona State University, USA)
Hasti Seifi (Arizona State University, USA)
PDF Hand-Object Interaction as an Intermediate Representation for Haptics in GenAI-Driven XR Authoring
Dohui Lee (Graduate School of Metaverse, KAIST, Republic of Korea)
PDF Perceptually Grounded AI-Powered Systems for Haptic Design
Yinan Li (Arizona State University, USA)
Hasti Seifi (Arizona State University, USA)
PDF Decoding Body Transformation Experiences: Fusing AI-Ready Wearables and Haptic Illusions in Everyday Settings
Tomás Martínez Cortés (Universidad Carlos III de Madrid, Spain)
Karunya Srinivasan (Universidad Carlos III de Madrid, Spain)
Amar D'Adamo (Universidad Carlos III de Madrid, Spain)
Ana Tajadura-Jiménez (Universidad Carlos III de Madrid, Spain)
PDF Generative Muscle Stimulation: Providing Users with Physical Assistance by Constraining Multimodal-AI with Embodied Knowledge
Romain Nith (University of Chicago)
Yun Ho (University of Chicago)
Pedro Lopes (University of Chicago)
PDF A Pneumatic Haptic Glove for Pose-Based Human-AI Communication
Minwoo Lee (Kyung Hee University, Republic of Korea)
Sungjoon Yoon (Kyung Hee University, Republic of Korea)
Seongmin Yun (Kyung Hee University, Republic of Korea)
Yunseo Do (Kyung Hee University, Republic of Korea)
Seungjae Oh (Kyung Hee University, Republic of Korea)
PDF Making Generated Scenes Touchable: LLM-Grounded Kinesthetic Feedback from a Single Image
Jaejun Park (Pohang University of Science and Technology, South Korea)
Soyeon Nam (Pohang University of Science and Technology, South Korea)
Jeongwoo Kim (Pohang University of Science and Technology, South Korea)
Uison Ju (Pohang University of Science and Technology, South Korea)
Seungmoon Choi (Pohang University of Science and Technology, South Korea)
PDF Crowdsourcing Haptic Calibration Location Dataset for Muscle and Tendon Vibration
Kun-Woo Song (KAIST, Republic of Korea)
Sang Ho Yoon (KAIST, Republic of Korea)
PDF Designing Touch with AI: Context-Aware Generative Haptics
Youjin Sung (KAIST, Republic of Korea)
Sang Ho Yoon (KAIST, Republic of Korea)
PDF Maintaining Physical Collaboration with Haptic Feedback in Virtual Reality
Wen-Jie Tseng (Sorbonne Université, ISIR, France)
PDF Why Modeling Human Haptic Material Perception with AI Is Difficult
Yasemin Vardar (Delft University of Technology (TU Delft), The Netherlands)
PDF Adaptive Immersive Experience: AI-Driven, Context-Aware Haptics in Games
Eric Vezzoli (Razer Inc.)
PDF From Hunting to Farming: Analogy for Large-Scale Haptic Datasets
Juan José Zárate (ETH Zurich, Switzerland)
PDF How AI Enables Haptic Virtual Reality in Everyday Environments
Andre Zenner (Saarland University & German Research Center for Artificial Intelligence (DFKI), Germany)
Muhammad Moiz Sakha (Saarland University & German Research Center for Artificial Intelligence (DFKI), Germany)
Sukran Karaosmanoglu (Universität Hamburg, Germany)
Florian Daiber (German Research Center for Artificial Intelligence (DFKI), Germany)
Frank Steinicke (Universität Hamburg, Germany)

FAQ

  • AI for Haptics workshop is an in-person format and you can register for the event by reserving your spot during CHI 2026 registration.

  • Participants can apply by submitting a 2-4 page position paper via the online form.

  • If you are interested in participation, please submit a 2–4 page position paper (excluding references) using the CHI Extended Abstracts format as a non-anonymized PDF.
    We encourage your position paper to focus on topics such as: AI techniques for haptic design and perception, challenges in haptic datasets and evaluation, how haptics can inform human-centered AI, design and fabrication of haptic interfaces, or other relevant areas. The paper should briefly introduce yourself, provide an overview of what you believe is important and needs discussion, and you are highly encouraged to present your own work in this context.

  • Accepted position papers may be displayed on the AI for Haptics workshop website at the authors' discretion.

  • At least one author of an accepted position paper must attend the workshop (in-person).

  • Please contact the organizing committee via email (easa[dot]aliabbasi[at]mpi-inf[dot]mpg[dot]de or dennis[dot]wittchen[at]mpi-inf[dot]mpg[dot]de) for assistance with any submission issues.