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Takashi Shibata 0004

dblp:37/2234-4 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · conflict

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

Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2Applied, interdisciplinary, general and emerging 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 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › service robot
museum guide robot
0.112010
Choosing answerers by observing gaze responses for museum guide robots · HRI 2010

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

omnidirectional camera · 0.1laser range sensor · 0.1
YearPublicationVenuePosition
2010 Choosing answerers by observing gaze responses for museum guide robots
abstract
This paper presents a method of selecting the answerer from audiences for a museum guide robot. We performed the preliminary experiments that a robot distributed its gaze towards visitors to select an answerer and analyzed visitors' responses. From these experiments, we have found that the visitors who are asked questions by the robot feel embarrassed when they have no prior knowledge about the question and the visitor's gaze during the question plays an important role to avoid being asked question. Based on these findings we developed functions for a guide robot to select the answerer by observing behaviors of multiple visitors. Multiple visitors' head motions are tracked and recognized by using an omni-directional camera and a laser range sensor. The robot detects the visitors' positive and negative responses by observing their head motions while asking questions. We confirmed the effectiveness of our method by experiments.
Yoshinori Kobayashi, Takashi Shibata 0004, Yosuke Hoshi, Yoshinori Kuno, Mai Okada, Keiichi Yamazaki
HRI2
2010 "I will ask you" choosing answerers by observing gaze responses using integrated sensors for museum guide robots
abstract
This paper presents a method in a museum guide robot to choose an appropriate answerer among multiple visitors. First, we observed and videotaped scenes of gallery talk when human guides ask visitors questions. Based on an analysis of this video, we have found that the guides selects an answerer by distributing his or her gaze towards multiple visitors and observing the visitors' gaze responses during the question. Then, we performed experiments on a robot that distributes its gaze towards multiple visitors, and analyzed visitors' responses. From these experiments, we found that visitors who are asked questions by the robot felt embarrassed when he or she had no prior knowledge about the questions, and that visitor gaze during the questions plays an important role in avoiding being asked questions. Based on these findings, we have developed a function in a guide robot that observes visitor gaze response and selects an appropriate answerer based on these responses. Gaze responses are tracked and recognized using an omnidirectional camera and a laser range sensor. The effectiveness of our method was confirmed through experiments.
Yoshinori Kobayashi, Takashi Shibata 0004, Yosuke Hoshi, Yoshinori Kuno, Mai Okada, Keiichi Yamazaki
RO-MAN2