If drones could see: Investigating evaluations of a drone with eyes

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Abstract

Drones are often used in a context where they interact with human users. They, however, lack the social cues that their robotic counterparts have. If drones would possess such cues, would people respond to them more positively? This paper investigates people’s evaluations of a drone with eyes versus one without. Results show mainly positive effects, i.e. a drone with eyes is seen as more social and human-like than a drone without eyes, and that people are more willing to interact with it. These findings imply that adding eyes to a drone that is designed to interact with humans may make this interaction more natural, and as such enable a successful introduction of social drones.

Original languageEnglish
Title of host publicationSocial Robotics - 10th International Conference, ICSR 2018, Proceedings
EditorsElizabeth Broadbent, Shuzhi Sam Ge, Miguel A. Salichs, Álvaro Castro-González, Hongsheng He, John-John Cabibihan, Alan R. Wagner
PublisherSpringer
Pages65-74
Number of pages10
ISBN (Print)9783030052034
DOIs
Publication statusPublished - 1 Jan 2018
Event10th International Conference on Social Robotics, ICSR 2018 - Qingdao, China
Duration: 28 Nov 201830 Nov 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11357 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Social Robotics, ICSR 2018
CountryChina
CityQingdao
Period28/11/1830/11/18

Keywords

  • Attitudes
  • Godspeed
  • RoSAS
  • Social drones

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  • Cite this

    Ruijten, P. A. M., & Cuijpers, R. H. (2018). If drones could see: Investigating evaluations of a drone with eyes. In E. Broadbent, S. S. Ge, M. A. Salichs, Á. Castro-González, H. He, J-J. Cabibihan, & A. R. Wagner (Eds.), Social Robotics - 10th International Conference, ICSR 2018, Proceedings (pp. 65-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11357 LNAI). Springer. https://doi.org/10.1007/978-3-030-05204-1_7