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Eleonora Toscano

dblp:316/5901 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Human-robot interaction
robot embodiment
0.612022
Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022
Human-robot interaction
robot locomotion
0.612022
Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022
Human-robot interaction › assistive robotics
socially assistive robotics
0.612022
Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception · HRI 2022
Collaborative and social computing
social presence
0.612022
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
0.212022
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
YearPublicationVenuePosition
2022 Socially Assistive Robots in Smart Homes: Design Factors that Influence the User Perception
abstract
Despite 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
HRI1