Demo Data from SIGIR 2026 / reviewers in the wild / expert
Negin Hashmati
dblp:341/9792
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0002-3309-2082ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 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
1 paper |
Human-robot interaction · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
robot design |
1.0 | 1 | 2026 | From Voice to Form: How Gender-Ambiguous Voices Shape Physical Robot Design · HRI 2026 |
Human-robot interaction › anthropomorphism
gender attribution to robots |
0.3 | 1 | 2026 | From Voice to Form: How Gender-Ambiguous Voices Shape Physical Robot Design · HRI 2026 |
Methods — techniques the papers use, named apart from their topics
user study · 1.0prototype building · 1.0interviews · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | From Voice to Form: How Gender-Ambiguous Voices Shape Physical Robot DesignabstractRobot design often involves gendered choices that shape Human–Robot Interaction. Voice is a key channel through which gendering occurs, yet little is known about how it influences people’s mental images of robots. This study examines how ambiguous, feminine, and masculine voices affect physical robot design. Participants (N = 45) listened to robot voices (ambiguous, feminine, masculine), built a physical prototype, took part in an interview to explain their design process, and concluded by evaluating both the voice and the robot prototype they built. The findings show that although participants’ explicit ratings of the robots showed no differences across conditions, analyses of the physical prototypes and interview data revealed consistent patterns, suggesting that voice strongly shaped design choices. Specifically, we found that ambiguous voices led to less human-like forms and more hybrid human-machine-like and masculine forms, whereas masculine voices encouraged more human-like prototypes. The results suggest that starting robot design from voice, particularly ambiguous voices, helps reduce gendering and fosters more inclusive robots. Martina De Cet, Negin Hashmati, Mohammad Obaid, Ilaria Torre 0002 |
HRI | 2 |
| 2025 | Future Wellbeing: A Hands-on Design Fiction Workshop Exploring Human-Agent Interaction and Mental HealthabstractThis hands-on workshop will explore the potential implementations of human-agent interaction and mental health, with a specific focus on virtual companions. To achieve this, we will be using design fiction to anticipate individual, societal, ethical, and cultural implications. In this workshop, we will together create design fiction stories that explore virtual companions and practical, ethical, and societal issues with their possible implementation in mental healthcare. Negin Hashmati, Therése Skoog, Mohammad Obaid, Thommy Eriksson |
HAI | 1 |