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Alexandre Galdeano

dblp:237/8591 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1

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-AI interaction · 33% Design research and methods · 33% Usability and user experience research · 33%

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

TopicWeightPapersLastEvidence papers
Human-AI interaction › user perception of AI
perceived empathy		 0.412019
The RoPE Scale: a Measure of How Empathic a Robot is Perceived · HRI 2019
Usability and user experience research › psychometric evaluation
questionnaire validation		 0.412019
The RoPE Scale: a Measure of How Empathic a Robot is Perceived · HRI 2019
Design research and methods › research methodology
user study methodology		 0.412019
The RoPE Scale: a Measure of How Empathic a Robot is Perceived · HRI 2019

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

pretest · 0.4expert validation · 0.4
YearPublicationVenuePosition
2019 The RoPE Scale: a Measure of How Empathic a Robot is Perceived
abstract
To be accepted in our everyday life and to be valuable interaction partners, robots should be able to display emotional and empathic behaviors. That is why there has been a great focus on developing empathy in robots in recent years. However, there is no consensus on how to measure how much a robot is considered to be empathic. In this context, we decided to construct a questionnaire which specifically measures the perception of a robot's empathy in human-robot interaction (HRI). Therefore we conducted pretests to generate items. These were validated by experts and will be further validated in an experimental setting.
Laurianne Charrier, Alisa Rieger, Alexandre Galdeano, Amélie Cordier, Mathieu Lefort, Salima Hassas
 HRI3