@conference {ghafurian2020interact,
	title = {Recognition of a Robot{\textquoteright}s Affective Expressions under Conditions with Limited Visibility},
	booktitle = {18th International Conference promoted by the IFIP Technical Committee 13 on Human{\textendash}Computer Interaction (INTERACT 2021)},
	year = {2021},
	month = {September},
	pages = {22},
	address = {Bari, Italy},
	abstract = {The capability of showing affective expressions is important for the design of social robots in many contexts, especially where the robot is designed to communicate with humans. It is reasonable to expect that, similar to all other interaction modalities, communicating with affective expressions is not without limitations. In this paper, we present two online video studies (N=72 and N=50) and investigate if/how much the recognition of affective displays of a zoomorphic robot is affected under situations with different levels of visibility. Five affective expressions combined with five visibility effects were studied. The intensity of the effects was more pronounced in the second experiment. While visual constraints affected recognition of expressions, our results showed that affective displays of the robot conveyed through its head and body gestures can be robust and recognition rates can still be high even under severe constraints. This study supported the effectiveness of using affective displays as a complementary communication modality in human-robot interaction in situations with low visibility.},
	keywords = {human-robot-interaction, showcase, year-in-review-2021},
	author = {Moojan Ghafurian and Sami Alperen Akgun and Mark Crowley and Kerstin Dautenhahn}
}
