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Salma ElSayed

dblp:391/0077 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-1917-8162ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 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 · 77% Immersive interaction · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › emotion expression
robot emotion expression
0.812024
Evaluating Transferable Emotion Expressions for Zoomorphic Social Robots using VR Prototyping' · ISMAR 2024
Immersive interaction
virtual prototyping
0.212024
Evaluating Transferable Emotion Expressions for Zoomorphic Social Robots using VR Prototyping' · ISMAR 2024

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

passive haptics · 0.8participatory design · 0.8mixed-methods evaluation · 0.8
YearPublicationVenuePosition
2024 Evaluating Transferable Emotion Expressions for Zoomorphic Social Robots using VR Prototyping'
abstract
Zoomorphic robots have the potential to offer companionship and well-being as accessible, low-maintenance alternatives to pet ownership. Many such robots, however, feature limited emotional expression, restricting their potential for rich affective relationships with everyday domestic users. Additionally, exploring this design space using hardware prototyping is obstructed by physical and logistical constraints. We leveraged virtual reality rapid prototyping with passive haptic interaction to conduct a broad mixed-methods evaluation of emotion expression modalities and participatory prototyping of multimodal expressions. We found differences in recognisability, effectiveness and user empathy between modalities while highlighting the importance of facial expressions and the benefits of combining animal-like and unambiguous modalities. We use our findings to inform promising directions for the affective zoomorphic robot design and potential implementations via hardware modification or augmented reality, then discuss how VR prototyping makes this field more accessible to designers and researchers.
Shaun Alexander Macdonald, Robin Bretin, Salma ElSayed
ISMAR3