Call for participation to Drawing in Diversity workshop at ICSR'26 London July 1st
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n.y....@gmail.com
May 18, 2026, 10:51:37 PM (8 days ago) May 18
to Women in Machine Learning
Call for participation in the extremely topical 🎨 Drawing in Diversity 👩🏼🤝👨🏿 Workshop at ICSR+ART '26!
⏳ Deadline: Monday, June 1st
📝 Format: 1-page position paper + optional drawings/figures (yours or others')
🎯 Submit: https://lnkd.in/evpkkfgv
🗓️ When: Wednesday, July 1st @ 14:00-17:00 (half-day)
🇬🇧 Where: [July 1st] Workshop Room 2, University of London, London, UK
🤝 Team: Me, Katie Seaborn, Yijia Wang, Marti De Cet, Shruti Chandra, and Mohammad Obaid
🤖 Part of: International Conference on Social Robotics 2026 (https://icsr2026.uk)
Diversity and representation are crucial elements in depictions of human-robot interactions (HRI), from figures to diagrams to any graphical meta-material accompanying publications and other forms of knowledge-sharing. At present, there is no standard or open resource that provides the wealth of visual material needed to represent the breadth of HRI engagements, users, robots, embodiments, scenarios, contexts of use, or application domains. This may account for known representation biases in the user present in publications and meta-materials.
We aim to identify critical elements and sketch out possibilities, co-creating a wishlist for pictures and baseline meta-materials to be formalized into an open science resource for the social robotics and HRI community. The format will be creation-focused, with tangible contributions produced all attendees. Outcomes will be formalized into a free and open resource following a refinement and production stage. As a meta-research project, this workshop will address the calls for open science and diversity, equity, and inclusion, empowering the HRI community to represent the “human” side of the equation with accuracy and inclusivity.
🚨 Note: No drawing skill required; the focus is on ideas, not artistic ability.
Discover the evidence that motivated our workshop in:
Katie Seaborn and Özge Nilay Yalçın. 2026. Persona Non Graphica: Visual Representation Biases in Human-Robot Interaction Research. In Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI ’26). Association for Computing Machinery, New York, NY, USA, 216–226. https://lnkd.in/e5WUpHsc
The workshop will have a unique hands-on format:
🧠 Brainstorm: Work together in small groups to brainstorm a list of elements typically represented in visual depictions of HRI, captured in post-it notes.
📋 Card-sorting and voting: Use a shared wall with post-it notes as “cards.” Collaboratively organize cards to eliminate repetition and identify key elements. Vote by consensus on the most important ideas.
✍ Drawing: Sketch out the ideas. Experiment with style (e.g., iconic, realistic), perspective (e.g., top-down, profile), and colour palette. Identify difficult-to-draw elements and representation matters.
🗳️ Card-sorting and voting on the drawings and ideas.
Find out more here: https://lnkd.in/e8K8M7Y2
⏳ Deadline: Monday, June 1st
📝 Format: 1-page position paper + optional drawings/figures (yours or others')
🎯 Submit: https://lnkd.in/evpkkfgv
🗓️ When: Wednesday, July 1st @ 14:00-17:00 (half-day)
🇬🇧 Where: [July 1st] Workshop Room 2, University of London, London, UK
🤝 Team: Me, Katie Seaborn, Yijia Wang, Marti De Cet, Shruti Chandra, and Mohammad Obaid
🤖 Part of: International Conference on Social Robotics 2026 (https://icsr2026.uk)
Diversity and representation are crucial elements in depictions of human-robot interactions (HRI), from figures to diagrams to any graphical meta-material accompanying publications and other forms of knowledge-sharing. At present, there is no standard or open resource that provides the wealth of visual material needed to represent the breadth of HRI engagements, users, robots, embodiments, scenarios, contexts of use, or application domains. This may account for known representation biases in the user present in publications and meta-materials.
We aim to identify critical elements and sketch out possibilities, co-creating a wishlist for pictures and baseline meta-materials to be formalized into an open science resource for the social robotics and HRI community. The format will be creation-focused, with tangible contributions produced all attendees. Outcomes will be formalized into a free and open resource following a refinement and production stage. As a meta-research project, this workshop will address the calls for open science and diversity, equity, and inclusion, empowering the HRI community to represent the “human” side of the equation with accuracy and inclusivity.
🚨 Note: No drawing skill required; the focus is on ideas, not artistic ability.
Discover the evidence that motivated our workshop in:
Katie Seaborn and Özge Nilay Yalçın. 2026. Persona Non Graphica: Visual Representation Biases in Human-Robot Interaction Research. In Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI ’26). Association for Computing Machinery, New York, NY, USA, 216–226. https://lnkd.in/e5WUpHsc
The workshop will have a unique hands-on format:
🧠 Brainstorm: Work together in small groups to brainstorm a list of elements typically represented in visual depictions of HRI, captured in post-it notes.
📋 Card-sorting and voting: Use a shared wall with post-it notes as “cards.” Collaboratively organize cards to eliminate repetition and identify key elements. Vote by consensus on the most important ideas.
✍ Drawing: Sketch out the ideas. Experiment with style (e.g., iconic, realistic), perspective (e.g., top-down, profile), and colour palette. Identify difficult-to-draw elements and representation matters.
🗳️ Card-sorting and voting on the drawings and ideas.
Find out more here: https://lnkd.in/e8K8M7Y2
--
Ö. Nilay Yalçın, PhD.
Assistant Professor | Affective Computing and Human-AI Interaction
SIAT | Simon Fraser University
oya...@sfu.ca | website
At Simon Fraser University (Surrey) we work on the ancestral, unceded territories of the Coast Salish peoples including Semiahmoo, Katzie, Kwikwetlem (kʷikʷəƛ̓əm), Kwantlen, Qayqayt and Tsawwassen First Nations.
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