EDBT 2026 Demo / reviewers in the wild / expert
Sarah Whatley
dblp:133/2650
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0001-7455-0847ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Human-robot interaction · 46% Personal fabrication and tangible interfaces · 27% Accessibility and assistive technology · 27% | |
| Computer graphics and multimedia
1 paper |
Computational fabrication · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
safe human-robot interaction |
0.9 | 1 | 2025 | Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction · HRI 2025 |
Human-robot interaction
physical human-robot interaction |
0.3 | 1 | 2025 | Somatic Safety: An Embodied Approach Towards Safe Human-Robot Interaction · HRI 2025 |
Computational fabrication
additive manufacturing |
0.2 | 1 | 2023 | Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
interviews · 1.3generative design · 1.3design-led exploration · 1.3thematic analysis · 0.9contact improvisation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Somatic Safety: An Embodied Approach Towards Safe Human-Robot InteractionabstractAs robots enter the messy human world so the vital matter of safety takes on a fresh complexion with physical contact becoming inevitable and even desirable. We report on an artistic-exploration of how dancers, working as part of a multidisciplinary team, engaged in contact improvisation exer-cises to explore the opportunities and challenges of dancing with cobots. We reveal how they employed their honed bodily senses and physical skills to engage with the robots aesthetically and yet safely, interleaving improvised physical manipulations with reflections to grow their knowledge of how the robots behaved and felt. We introduce somatic safety, a holistic mind-body approach in which safety is learned, felt and enacted through bodily contact with robots in addition to being reasoned about. We conclude that robots need to be better designed for people to hold them and might recognise tacit safety cues among people. We propose that safety should be learned through iterative bodily experience interleaved with reflection. Steve Benford, Eike Schneiders, Juan Pablo Martinez-Avila, Praminda Caleb-Solly, Patrick Brundell, Simon Castle-Green, Feng Zhou 0020, Rachael Garrett, Kristina Höök, Sarah Whatley, Kate Marsh, Paul Tennent |
HRI | 10 |
| 2023 | Beyond Skin Deep: Generative Co-Design for Aesthetic ProstheticsabstractThere is a trend for handcrafting bespoke prostheses that embody their wearers’ aesthetic tastes and identities. We explore how this might be extended by enabling users to co-design with algorithms. We report a design-led exploration (Figure 1) in which professional disabled dancers danced with a generative design algorithm to create personalised designs called aesthetic seeds. Further algorithms applied these to prosthetic greaves, rendering them in various materials before optimising for additive manufacture. Interviews with our dancers revealed that the aesthetics of prosthetics reach beyond visual decoration to encompass form, function, bodily experience, body image, and identity; that interactions with generative design algorithms can harness people’s expressive and aesthetic skills; and that we must redesign supporting technologies for diverse bodies. We generalise our findings into a process for how people may co-design 3D printable products with algorithms. Feng Zhou 0020, Steve Benford, Sarah Whatley, Kate Marsh, Ian Ashcroft, Tanja Erhart, Welly O'Brien, Paul Tennent |
CHI | 3 |