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Dmitry Muravyov

dblp:239/4499 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-8568-2199ORCID · reported

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

Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 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 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
robot failure
1.012026
Designing with Fallibility: Examining the Knowledge Politics of Agency, Methods, and Motivations in Robot Failure Research · CHI 2026

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

feminist technoscience · 1.0
YearPublicationVenuePosition
2026 Designing with Fallibility: Examining the Knowledge Politics of Agency, Methods, and Motivations in Robot Failure Research
abstract
A line of research in HCI and HRI has started to consider robot failures, errors, and breakdowns not as problems to be eliminated, but as opportunities to inform and enrich design. This shift has led to growing interest in how robotic fallibility affects user trust, interaction quality, and system acceptance. In this paper, we inquire into what it means to design with fallibility. Drawing on feminist technoscience, we examine how current approaches frame the roles of designers and users (agency), how research methods shape the phenomena they study (performativity), and how underlying research goals carry ethical and epistemological implications (motivation). In recognizing robotic fallibility as a sociotechnical phenomenon and design research as a world-making practice, we provide design considerations that promote more reflexive, inclusive, and politically aware engagements with (robot) failure in HRI and HCI.
Dmitry Muravyov, Nazli Cila
CHI1