Abstract
Non-verbal communication, in particular emotions and social signals, has the potential to improve interaction between humans and robots. Body movement style is known for influencing the affective interpretation of a movement in humans. In this paper the effect of gravity on perceived affective quality of robot movement is investigated. Simulations of a robot arm executing various daily tasks were created. Each task is executed under three different virtual gravity conditions: positive (downward directed force), negative (upward directed force) and no gravity. In a user study participants rated videos of the movement of the robot arm in terms of its emotional content. The robotic arm performed ten different tasks. Two response tools were used for the participants to rate the videos: the AffectButton and the Self-Assessment Manikin. Results show that there was a residual significant effect of the virtual gravity variable on the AffectButton. Moreover, there was a large significant effect of task on the ratings of both the AffectButton and the Self-Assessment Manikin. This indicates that gravity has a small, but measurable effect on the perceived emotional content of even a simple, rather disembodied, robot movement.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
K.F. MacDorman, H. Ishiguro, The uncanny advantage of using androids in cognitive and social science research. Interact. Stud. 7(3), 297–337 (2006)
M. Mori, The uncanny vall. Energy 7(4), 33–35 (1970)
G. Hoffman, Ensemble: Fluency and Embodiment for Robots Acting with Humans, Ph.D. dissertation (2007)
A. Beck, L. Cañamero, K.A. Bard, Towards an affect space for robots to display emotional body language, in The 19th IEEE International Symposium on Robot and Human Interactive Communication (2010), pp. 464–469
H.G. Wallbott, Bodily expression of emotion. Eur. J. Social Psychol. 28(6), 879–896 (1998)
T. Nomura, A. Nakao, Human evaluation of affective body motions expressed by a small-sized humanoid robot: comparison between elder people and university students, in The 18th IEEE International Symposium on Robot and Human Interactive Communication (2009), pp. 363–368
A. Kleinsmith, N. Bianchi-Berthouze, A. Steed, Automatic recognition of non-acted affective postures. IEEE Trans. Syst. Man Cybernet. Part B Cybernet. 41(4), 1027–1038 (2011)
F.E. Pollick, H.M. Paterson, A. Bruderlin, A.J. Sanford, Perceiving Affect from Arm Movement. Cognition 82, 51–61 (2001)
E. Crane, M. Gross, Motion capture and emotion: affect detection in whole body movement, in Affective Computing and Intelligent Interaction (Springer, Berlin, 2007), pp. 95–101
M. de Meijer, The contribution of general features of body movement to the attribution of emotions. J. Nonverbal Behav. 13(4), 247–268 (1989)
J.M. Montepare, S.B. Goldstein, A. Clausen, The Identification of Emotions from Gait Information. J. Nonverbal Behav. 11(1), 33–42 (1987)
C. Pelachaud, Studies on gesture expressivity for a virtual agent. Speech Commun. 51(7), 630–639 (2009)
P. Gallaher, Individual differences in nonverbal behaviour: dimensions of style. J. Pers. Soc. Psychol. 63(1), 133–145 (1992)
I. Poggi, Mind markers, in Gestures, Meaning and Use, ed. by N. Trigo, M. Rector, I. Poggi (University Fernando Pessoa Press, Oporto, Portugal, 2003)
C.L. Roether, L. Omlor, M.A. Giese, Features in the recognition of emotions from dynamic bodily expression, in Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Conputational Approaches, ed. by U.J. Ilg, G.S. Masson (Springer, Boston, 2010), pp. 313–340
A. Beck, B. Stevens, , K.A. Bard, Comparing perception of affective body movements displayed by actors and animated characters, in Proceedings of the Symposium on Mental States, Emotions, and their Embodiment (2009)
K. Yamane, Y. Ariki, J. Hodgins, Animating non-humanoid characters with human motion data, in Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (2010), pp. 169–178
A. Kleinsmith, N. Bianchi-berthouze, Recognizing affective dimensions from body posture, in Affective Computing and Intelligent Interaction (Springer, Berlin, 2007), pp. 48–58
G. Castellano, S.D. Villalba, A. Camurri, Recognising human emotions from body movement and gesture dynamics, in Affective Computing and Intelligent Interaction (Springer, Berlin, 2007), pp. 71–82
D. Bernhardt, P. Robinson, Detecting affect from non-stylised body motions, in Affective Computing and Intelligent Interaction (Springer, Berlin, 2007), pp. 59–70
K. Nakagawa, K. Shinozawa, H. Ishiguro, T. Akimoto, N. Hagita, Motion modification method to control affective nuances for robots, in The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (2009), pp. 5003–5008
D. McColl, G. Nejat, Recognizing emotional body language displayed by a human-like social robot. Int. J. Social Robot. 6, 261–280 (2014)
A. Yamaguchi, Y. Yano, S. Doki, S. Okuma, A study of emotional motion description by motion modification and adjectival expressions, in The 2006 IEEE Conference on Cybernetics and Intelligent Systems, vol. 4, pp. 1–6 (IEEE, New York, 2006)
J. Xu, J. Broekens, K. Hindriks, M.A. Neerincx, Mood expression through parameterized functional behavior of robots, in The 22nd IEEE International Symposium on Robot and Human Interactive Communication, vol. 22 (IEEE, New York, 2013), pp. 533–540
R.M. Murray, Z. Li, S.S. Sastry, in A Mathematical Introduction to Robotic Manipulation (CRC press, Boca Raton, 1994)
J. Broekens, W.-P. Brinkmand, AffectButton: a method for reliable and valid affective self-report. Int. J. Hum Comput Stud. 71(6), 641–667 (2013)
M. Bradley, P.J. Lang, Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25(1), 49–59 (1994)
M. Sawada, K. Suda, M. Ishii, Expression of emotions in dance: relation between arm movement characteristics and emotion. Percept. Mot. Skills 97, 697–708 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Weller, S., Broekens, J., Lopes, G.A.D. (2016). The Effect of Gravity on Perceived Affective Quality of Robot Movement. In: Laumond, JP., Abe, N. (eds) Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-319-25739-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-25739-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25737-2
Online ISBN: 978-3-319-25739-6
eBook Packages: EngineeringEngineering (R0)