Demo Data from SIGIR 2026 / reviewers in the wild / expert
Dominic Eger Domingos
dblp:429/7549
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › healthcare robotics
robot-assisted surgery |
1.0 | 1 | 2026 | 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 |
0.3 | 1 | 2026 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | ViRAS: Design Artifacts to Explore Socio-Material Configurations through a Research-through-Design Approach in Robot-Assisted SurgeryabstractRobot-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 |
CHI | 3 |