@article{SpatolaKuehnlenzCheng2021,
  author    = {Spatola, Nicolas and K{\"u}hnlenz, Barbara and Cheng, Gordon},
  title     = {Perception and evaluation in human-robot interaction},
  series = {International Journal of Social Robotics},
  volume    = {13},
  journal   = {International Journal of Social Robotics},
  number    = {7},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1875-4791},
  doi       = {10.1007/s12369-020-00667-4},
  pages     = {1517 -- 1539},
  year      = {2021},
  abstract  = {The evaluation of how (human) individuals perceive robots is a central issue to better understand human-robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not able to assess a sufficient part of the composite psychological dimensions involved in the evaluation of HRI. Indeed, the percentage of variance explained is often under the recommended threshold for a construct to be valid. In this article, we consolidate the lessons learned from three different studies and propose a further developed questionnaire based on a multicomponent approach of anthropomorphism by adding traits from psychosocial theory about the perception of others and the attribution and deprivation of human characteristics: the de-humanization theory. Among these characteristics, the attribution of agency is of main interest in the field of social robotics as it has been argued that robots could be considered as intentional agents. Factor analyses reveal a four sub-dimensions scale including Sociability, Agency, Animacy, and the Disturbance. We discuss the implication(s) of these dimensions on future perception of and attitudes towards robots.},
  language  = {en}
}
@article{PaetzelPruesmannPerugiaCastellano2021,
  author    = {Paetzel-Pr{\"u}smann, Maike and Perugia, Giulia and Castellano, Ginevra},
  title     = {The influence of robot personality on the development of uncanny feelings},
  series = {Computers in human behavior},
  volume    = {120},
  journal   = {Computers in human behavior},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0747-5632},
  doi       = {10.1016/j.chb.2021.106756},
  pages     = {17},
  year      = {2021},
  abstract  = {Empirical investigations on the uncanny valley have almost solely focused on the analysis of people?s noninteractive perception of a robot at first sight. Recent studies suggest, however, that these uncanny first impressions may be significantly altered over an interaction. What is yet to discover is whether certain interaction patterns can lead to a faster decline in uncanny feelings. In this paper, we present a study in which participants with limited expertise in Computer Science played a collaborative geography game with a Furhat robot. During the game, Furhat displayed one of two personalities, which corresponded to two different interaction strategies. The robot was either optimistic and encouraging, or impatient and provocative. We performed the study in a science museum and recruited participants among the visitors. Our findings suggest that a robot that is rated high on agreeableness, emotional stability, and conscientiousness can indeed weaken uncanny feelings. This study has important implications for human-robot interaction design as it further highlights that a first impression, merely based on a robot?s appearance, is not indicative of the affinity people might develop towards it throughout an interaction. We thus argue that future work should emphasize investigations on exact interaction patterns that can help to overcome uncanny feelings.},
  language  = {en}
}