Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Dominic Eger Domingos

dblp:429/7549 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-6699-1802ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 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
1 paper
Human-robot interaction · 77% Design research and methods · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › healthcare robotics
robot-assisted surgery
1.012026
ViRAS: Design Artifacts to Explore Socio-Material Configurations through a Research-through-Design Approach in Robot-Assisted Surgery · CHI 2026
Design research and methods
research through design
0.312026
ViRAS: Design Artifacts to Explore Socio-Material Configurations through a Research-through-Design Approach in Robot-Assisted Surgery · CHI 2026

Methods — techniques the papers use, named apart from their topics

scenario-based interviews · 1.0research through design · 1.0
YearPublicationVenuePosition
2026 ViRAS: Design Artifacts to Explore Socio-Material Configurations through a Research-through-Design Approach in Robot-Assisted Surgery
abstract
Robot-assisted surgery (RAS) has raised concerns within human-computer interaction, particularly regarding the socio-material configurations of robotic systems and their impact on surgical practices. To investigate these configurations in the context of the da Vinci robotic system, we used a research-through-design approach. Through this approach, we developed six Visual RAS (ViRAS) scenarios derived from RAS observations. These scenarios represent different configurations of interacting surgical team members and the robotic system in distinct adverse RAS events. In ViRAS-guided interviews with experienced RAS surgeons, we found that ViRAS scenarios help reflect on surgical practices and the specific material and spatial properties of RAS. Our findings indicated that the team’s cognitive engagement during surgery could be improved by providing sensory augmentation to facilitate task perception and individual skill development. Through our research, we show how ViRAS scenarios, as a tool for reflection, can reveal opportunities for designing socio-material configurations in RAS and beyond.
Peter Sörries, Anna Schaeffner, Dominic Eger Domingos, Mario A. Cypko, Lea Timmermann, Moritz Queisner, Igor M. Sauer, Carola Zwick, Claudia Müller-Birn
CHI3