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Amélie Cordier

dblp:92/4720 · DBLP profile ↗
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13ranked-venue papers
2as 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 · 7 · 1 first-authorHuman-computer interaction and ubiquitous computing · 4Applied, interdisciplinary, general and emerging computing · 3Databases, data management, data science and information retrieval · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 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 Social Robots in Collaborative Learning: Consequences of the Design on Students' Perception
abstract
International audience
Alix Gonnot, Christine Michel, Jean-Charles Marty, Amélie Cordier
CSEDU (1)4
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
HRI4
2018 Interactive Interpretation of Serial Episodes: Experiments in Musical Analysis
Béatrice Fuchs, Amélie Cordier
EKAW2
2017 An Authoring Tool to Elicit Knowledge to be Taught without Programming
abstract
International audience
Awa Diattara, Nathalie Guin, Vanda Luengo, Amélie Cordier
CSEDU (1)4
2016 Towards an Authoring Tool to Acquire Knowledge for ITS Teaching Problem Solving Methods
Awa Diattara, Nathalie Guin, Vanda Luengo, Amélie Cordier
EC-TEL4
2016 Trace-based contextual recommendations
Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Luc Lamontagne, Alain Mille
Expert Syst. Appl.2
2014 How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability
Emmanuelle Gaillard, Jean Lieber, Emmanuel Nauer, Amélie Cordier
ICCBR4
2013 Similarity Measures to Compare Episodes in Modeled Traces
Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Luc Lamontagne, Alain Mille
ICCBR2
2013 TStore: A Trace-Base Management System - Using Finite-state Transducer Approach for Trace Transformation
abstract
International audience
Raafat Zarka, Pierre-Antoine Champin, Amélie Cordier, Elöd Egyed-Zsigmond, Luc Lamontagne, Alain Mille
MODELSWARD3
2011 Rule-Based Impact Propagation for Trace Replay
Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Alain Mille
ICCBR2
2009 Opportunistic Adaptation Knowledge Discovery
Fadi Badra, Amélie Cordier, Jean Lieber
ICCBR2
2007 Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
Amélie Cordier, Béatrice Fuchs, Jean Lieber, Alain Mille
ICCBR1
2006 Engineering and Learning of Adaptation Knowledge in Case-Based Reasoning
Amélie Cordier, Béatrice Fuchs, Alain Mille
EKAW1