@inproceedings {9998,
	title = {Expression of Grounded Affect: How Much Emotion Can Arousal Convey?},
	booktitle = {Proc. 21st Towards Autonomous Robotic Systems Conference  (TAROS2020)},
	series = {Lecture Notes in Computer Science},
	volume = {12228},
	year = {2020},
	note = {<a href="https://www.nottingham.ac.uk/conference/fac-eng/taros/proceedings/proceedings.aspx">Download</a> (the complete proceedings are available from the link on this page)},
	month = {09/2020},
	pages = {234{\textendash}248},
	publisher = {Springer},
	organization = {Springer},
	address = {Nottingham, UK},
	abstract = {In this paper we consider how non-humanoid robots can communicate their affective state via bodily forms of communication (kinesics), and the extent to which this influences how humans respond to them. We propose a simple model of grounded affect and kinesic expression before presenting the qualitative findings of an exploratory study (N=9), during which participants were interviewed after watching expressive and non-expressive hexapod robots perform different {\textquoteleft}scenes{\textquoteright}. A summary of these interviews is presented and a number of emerging themes are identified and discussed. Whilst our findings suggest that the expressive robot did not evoke significantly greater empathy or altruistic intent in humans than the control robot, the expressive robot stimulated greater desire for interaction and was also more likely to be attributed with emotion.},
	doi = {10.1007/978-3-030-63486-5_26},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-63486-5_26},
	author = {Hickton, Luke and Lewis, Matthew and Lola Ca{\~n}amero},
	editor = {Abdelkhilick Mohammad and Xin Dong and Matteo Russo}
}
