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

Samira Pulatova

dblp:360/2118 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0002-8151-796XORCID · 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 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
Haptics and multimodal interaction · 62% Interaction techniques and input · 38%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › multimodal interaction
speech and gesture interaction
0.912025
User-Defined Co-Speech Gesture Design with Swarm Robots · CHI 2025
Interaction techniques and input › gesture input
gesture design
0.312025
User-Defined Co-Speech Gesture Design with Swarm Robots · CHI 2025
Interaction techniques and input › gesture input › gesture design
user-defined gestures
0.312025
User-Defined Co-Speech Gesture Design with Swarm Robots · CHI 2025

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

co-design · 0.9
YearPublicationVenuePosition
2025 User-Defined Co-Speech Gesture Design with Swarm Robots
abstract
Figure 1: Two user-defined patterns of swarm robot co-speech gestures corresponding to the word "run."Each pattern includes multiple phases, with red squares indicating the robots that have moved relative to the previous phase.
Minh Duc Dang, Samira Pulatova, Lawrence H. Kim
CHI2
2024 Co-Designing Programmable Fidgeting Experience with Swarm Robots for Adults with ADHD
abstract
Individuals with ADHD grapple with elevated stress levels, emotional regulation challenges, and difficulty sustaining focus. Fidgeting, a behavior traditionally frowned upon, has been shown to help people with ADHD in concentration, emotional and mental state management, and energy regulation. However, traditional fidgeting devices have limited fixed affordances providing cookie-cutter style fidgeting experience to all despite individual differences. Recognizing the uniqueness of individual fidgeting tendencies, we use small tabletop robots to provide a customizable fidgeting interaction experience and conduct co-design sessions with 16 adults diagnosed with ADHD to explore how they envision their fidgeting interactions being changed with these programmable robots. We examine core elements defining a successful fidgeting interaction with robots, assess the significance of customizability in these interactions and any common trends among participants, and investigate additional advantages that interactions with robots may offer. This research reveals nuanced preferences of adults with ADHD concerning robot-assisted fidgeting.
Samira Pulatova, Lawrence H. Kim
ASSETS1