Rhea Montgomery Walsh

dblp:237/8743 · 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-robot interaction · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
social robot
0.412019
Teaching Social Robotics to Motivate Women into Engineering and Robotics Careers · HRI 2019
Human-robot interaction › educational robotics
social robots in education
0.412019
Teaching Social Robotics to Motivate Women into Engineering and Robotics Careers · HRI 2019
Computing education
broadening participation in computing
0.112019
Teaching Social Robotics to Motivate Women into Engineering and Robotics Careers · HRI 2019

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

questionnaire · 0.8observation · 0.8
YearPublicationVenuePosition
2019 Teaching Social Robotics to Motivate Women into Engineering and Robotics Careers
abstract
Women are underrepresented in robotics, and this may be partly due to the educational emphasis on mechanical applications rather than social applications of robotics. This study aimed to investigate whether teaching robotics using social robots increased girls' engagement compared to using more mechanical vex robots. 20 girls were recruited from school robotics classes. They were taught 30 minutes of VEX robotics and 30 minutes of social robotics in a counter-balanced order. Engagement was measured using questionnaires and observations. Results showed that girls were significantly more engaged in the social robot classes than the vex robot classes. This pilot study suggests a possible way to encourage more girls to study robotics.
Alex Barco, Rhea Montgomery Walsh, Avram Block, Kate Loveys, Andrew J. McDaid, Elizabeth Broadbent
HRI2