"Olá, my name is Ana": A study on Brazilians interacting with a receptionist robot

Gabriele Trovato, Josué G. Ramos, Helio Azevedo, Artemis Moroni, Silvia Magossi, Hiroyuki Ishii, Reid Simmons, Atsuo Takanishi

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

In the near future, robots are expected to perform assistive tasks and do different kind of jobs. In particular, humanoid robots are possible candidates for being used as helpers in activities of daily living. One possible employment is working as a receptionist, providing useful indications to visitors in a public office. The design of how robots could look like is a matter of growing importance, as it is important to create a look that poses no uncanny valley effects on the human user and that is appropriate to potentially serve in different job areas in human society. In this paper we want to describe the study on anthropomorphism of a receptionist robot. We invited Brazilian people with different education levels to interact with two variations of a receptionist robot, different in physical appearance as well as in the sound of the voice. In one case, the appearance was a conversational agent made with computer graphics, in the other, a real humanoid robot. Results gathered from surveys and comments of the participants provide useful directions to design a receptionist robot and insights on the effect of digital divide on anthropomorphism.

本文言語English
ホスト出版物のタイトルProceedings of the 17th International Conference on Advanced Robotics, ICAR 2015
編集者Uluc Saranli, Sinan Kalkan
出版社Institute of Electrical and Electronics Engineers Inc.
ページ66-71
ページ数6
ISBN(電子版)9781467375092
DOI
出版ステータスPublished - 2015 10 13
イベント17th International Conference on Advanced Robotics, ICAR 2015 - Istanbul, Turkey
継続期間: 2015 7 272015 7 31

出版物シリーズ

名前Proceedings of the 17th International Conference on Advanced Robotics, ICAR 2015

Other

Other17th International Conference on Advanced Robotics, ICAR 2015
CountryTurkey
CityIstanbul
Period15/7/2715/7/31

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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