Abstract
Expecting certain behaviors from users is essential when programming the actions of communication robots. However, an ef̌ cient way to bring forth this expectation has not been realized yet. To tackle this problem, this paper presents a novel sensor data analysis system called RSV (Robot Sensor Viewer). RSV enables the discovery of user behaviors by comparing various enormous data samples. RSV associates user behaviors with the sensor data and it enables incorporation of detected behaviors into the robots' action programs. To evaluate RSV, we conducted a communication experiment, obtained the data samples of user behaviors and analyzed them by using RSV. The results from the experiment showed that RSV could detect the features of user behaviors which were not considered in the current action programs on communication robot Robovie.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd IASTED International Conference on Human-Computer Interaction, HCI 2007 |
| Pages | 25-30 |
| Number of pages | 6 |
| Publication status | Published - 2007 |
| Event | 2nd IASTED International Conference on Human-Computer Interaction, HCI 2007 - Chamonix, France Duration: 2007 Mar 14 → 2007 Mar 16 |
Other
| Other | 2nd IASTED International Conference on Human-Computer Interaction, HCI 2007 |
|---|---|
| Country | France |
| City | Chamonix |
| Period | 07/3/14 → 07/3/16 |
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Keywords
- Communication robot
- Human-robot interaction
- Sensor data
- Visualizer
ASJC Scopus subject areas
- Human-Computer Interaction
Cite this
RSV : Sensor data viewer for human-robot interaction. / Nakamura, Manabu; Satake, Satoru; Kawashima, Hideyuki; Imai, Michita.
Proceedings of the 2nd IASTED International Conference on Human-Computer Interaction, HCI 2007. 2007. p. 25-30.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - RSV
T2 - Sensor data viewer for human-robot interaction
AU - Nakamura, Manabu
AU - Satake, Satoru
AU - Kawashima, Hideyuki
AU - Imai, Michita
PY - 2007
Y1 - 2007
N2 - Expecting certain behaviors from users is essential when programming the actions of communication robots. However, an ef̌ cient way to bring forth this expectation has not been realized yet. To tackle this problem, this paper presents a novel sensor data analysis system called RSV (Robot Sensor Viewer). RSV enables the discovery of user behaviors by comparing various enormous data samples. RSV associates user behaviors with the sensor data and it enables incorporation of detected behaviors into the robots' action programs. To evaluate RSV, we conducted a communication experiment, obtained the data samples of user behaviors and analyzed them by using RSV. The results from the experiment showed that RSV could detect the features of user behaviors which were not considered in the current action programs on communication robot Robovie.
AB - Expecting certain behaviors from users is essential when programming the actions of communication robots. However, an ef̌ cient way to bring forth this expectation has not been realized yet. To tackle this problem, this paper presents a novel sensor data analysis system called RSV (Robot Sensor Viewer). RSV enables the discovery of user behaviors by comparing various enormous data samples. RSV associates user behaviors with the sensor data and it enables incorporation of detected behaviors into the robots' action programs. To evaluate RSV, we conducted a communication experiment, obtained the data samples of user behaviors and analyzed them by using RSV. The results from the experiment showed that RSV could detect the features of user behaviors which were not considered in the current action programs on communication robot Robovie.
KW - Communication robot
KW - Human-robot interaction
KW - Sensor data
KW - Visualizer
UR - http://www.scopus.com/inward/record.url?scp=47149117337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47149117337&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:47149117337
SN - 9780889866546
SP - 25
EP - 30
BT - Proceedings of the 2nd IASTED International Conference on Human-Computer Interaction, HCI 2007
ER -