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Shamma al Marzooqi

dblp:61/9255 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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-robot interaction · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
emotion expression
0.112011
Expressing emotions through robots: a case study using off-the-shelf programming interfaces · HRI 2011
Human-robot interaction
robot behavior
0.112011
Expressing emotions through robots: a case study using off-the-shelf programming interfaces · HRI 2011
Human-robot interaction › robot programming
end-user robot programming
0.012011
Expressing emotions through robots: a case study using off-the-shelf programming interfaces · HRI 2011

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

user study · 0.1
YearPublicationVenuePosition
2011 Expressing emotions through robots: a case study using off-the-shelf programming interfaces
abstract
This paper explores how effectively users can encode emotions in robot behaviors using existing robot programming interfaces. Specifically, we analyze how programming interfaces for Nao and Pleo robots allow end-users to encode behaviors that express anger, sadness, happiness, and surprise. Via a series of user studies, we found that users were able to express emotions through these robots more effectively via verbal expressions than non-verbal expressions.
Vimitha Manohar, Shamma al Marzooqi, Jacob W. Crandall
HRI2