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Maya Yachini

dblp:237/8520 · 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 · 77% Learning and educational technologies · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies › active learning
group learning
0.112019
Human-Robot-Collaboration (HRC): Social Robots as Teaching Assistants for Training Activities in Small Groups · HRI 2019

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

comparative study · 0.4classroom observation · 0.4
YearPublicationVenuePosition
2019 Human-Robot-Collaboration (HRC): Social Robots as Teaching Assistants for Training Activities in Small Groups
abstract
Can we find real value for educational social robots in the very near future? We argue that the answer is yes. Specifically, in a classroom we observed, we identified a common gap: the instructor divided the class into small groups to work on a learning activity and could not address all their questions simultaneously. The purpose of this study was to examine whether social robots can assist in this scenario. In particular, we were interested to find whether a physical robot serves this purpose better than other technologies such as tablets. Benefits and drawbacks of the robot facilitator are discussed.
Rinat B. Rosenberg-Kima, Yaacov Koren, Maya Yachini, Goren Gordon
HRI3