Demo Data from SIGIR 2026 / reviewers in the wild / expert
Eleonora Toscano
dblp:316/5901
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-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 · 70% Collaborative and social computing · 23% Ubiquitous computing and smart environments · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
robot embodiment |
0.6 | 1 | 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022 |
Human-robot interaction
robot locomotion |
0.6 | 1 | 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022 |
Human-robot interaction › assistive robotics
socially assistive robotics |
0.6 | 1 | 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022 |
Collaborative and social computing
social presence |
0.6 | 1 | 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022 |
Ubiquitous computing and smart environments › smart home
smart home control |
0.2 | 1 | 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022 |
Methods — techniques the papers use, named apart from their topics
within-subjects study · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Socially Assistive Robots in Smart Homes: Design Factors that Influence the User PerceptionabstractDespite the growing interest in smart homes and robotics in many domains, very few studies have explored how socially assistive robots (SAR) can be integrated into smart homes to control them while socially interacting with people. This paper explores two factors - embodiment and movement - that influence the human-robot interaction into a domestic context. We conducted a within-subjects study with three con-ditions (disembodied-static, embodied-static, embodied-dynamic) involving the conventional population. Participants (N = 10) interacted into two speech-based tasks with an autonomous Temi robot fully integrated with a smart home (e.g., lights, room temperature, music, oven control) and answered questions about their perception towards the robot, including perceived sociability and social presence. The results indicated that participants perceived the embodied-movable robot as significantly more sociable and socially present than static or disembodied ones. Eleonora Toscano, Micol Spitale, Franca Garzotto |
HRI | 1 |