Abstract
Our goal is to develop bodily mood expression that can be used during the execution of functional behaviors for humanoid social robots. Our model generates such expression by stylizing behaviors through modulating behavior parameters within functional bounds. We have applied this approach to two behaviors, waving and pointing, and obtained parameter settings corresponding to different moods and interrelations between parameters from a design experiment. This paper reports an evaluation of the parameter settings in a recognition experiment under three conditions: modulating all parameters, only important parameters, and only unimportant parameters. The results show that valence and arousal can be well recognized when the important parameters were modulated. Modulating only the unimportant parameters is promising to express weak moods. Speed parameters, repetition, and head-up-down were found to correlate with arousal, while speed parameters may correlate more with valence than arousal when they are slow.
| Original language | English |
|---|---|
| Title of host publication | Social Robotics - 5th International Conference, ICSR 2013, Proceedings |
| Pages | 511-520 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |
| Externally published | Yes |
| Event | 5th International Conference on Social Robotics, ICSR 2013 - Bristol, United Kingdom Duration: 27 Oct 2013 → 29 Oct 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8239 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 5th International Conference on Social Robotics, ICSR 2013 |
|---|---|
| Country | United Kingdom |
| City | Bristol |
| Period | 27/10/13 → 29/10/13 |
Fingerprint
Keywords
- Body language
- Human robot interaction (HRI)
- Mood expression
- Nonverbal behavioral cues
- Social robots
Cite this
}
Bodily mood expression : Recognize moods from functional behaviors of humanoid robots. / Xu, Junchao; Broekens, Joost; Hindriks, Koen; Neerincx, Mark A.
Social Robotics - 5th International Conference, ICSR 2013, Proceedings. 2013. p. 511-520 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8239 LNAI).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Bodily mood expression
T2 - Recognize moods from functional behaviors of humanoid robots
AU - Xu, Junchao
AU - Broekens, Joost
AU - Hindriks, Koen
AU - Neerincx, Mark A.
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Our goal is to develop bodily mood expression that can be used during the execution of functional behaviors for humanoid social robots. Our model generates such expression by stylizing behaviors through modulating behavior parameters within functional bounds. We have applied this approach to two behaviors, waving and pointing, and obtained parameter settings corresponding to different moods and interrelations between parameters from a design experiment. This paper reports an evaluation of the parameter settings in a recognition experiment under three conditions: modulating all parameters, only important parameters, and only unimportant parameters. The results show that valence and arousal can be well recognized when the important parameters were modulated. Modulating only the unimportant parameters is promising to express weak moods. Speed parameters, repetition, and head-up-down were found to correlate with arousal, while speed parameters may correlate more with valence than arousal when they are slow.
AB - Our goal is to develop bodily mood expression that can be used during the execution of functional behaviors for humanoid social robots. Our model generates such expression by stylizing behaviors through modulating behavior parameters within functional bounds. We have applied this approach to two behaviors, waving and pointing, and obtained parameter settings corresponding to different moods and interrelations between parameters from a design experiment. This paper reports an evaluation of the parameter settings in a recognition experiment under three conditions: modulating all parameters, only important parameters, and only unimportant parameters. The results show that valence and arousal can be well recognized when the important parameters were modulated. Modulating only the unimportant parameters is promising to express weak moods. Speed parameters, repetition, and head-up-down were found to correlate with arousal, while speed parameters may correlate more with valence than arousal when they are slow.
KW - Body language
KW - Human robot interaction (HRI)
KW - Mood expression
KW - Nonverbal behavioral cues
KW - Social robots
UR - http://www.scopus.com/inward/record.url?scp=84892425817&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892425817&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02675-6_51
DO - 10.1007/978-3-319-02675-6_51
M3 - Conference contribution
SN - 9783319026749
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 511
EP - 520
BT - Social Robotics - 5th International Conference, ICSR 2013, Proceedings
ER -