International Journal of Social Robotics

, Volume 9, Issue 2, pp 165–180

Survey of Factors for the Prediction of Human Comfort with a Non-anthropomorphic Robot in Public Spaces

  • David C. May
  • Kristie J. Holler
  • Cindy L. Bethel
  • Lesley Strawderman
  • Daniel W. Carruth
  • John M. Usher
Survey

DOI: 10.1007/s12369-016-0390-7

Cite this article as:
May, D.C., Holler, K.J., Bethel, C.L. et al. Int J of Soc Robotics (2017) 9: 165. doi:10.1007/s12369-016-0390-7

Abstract

This article presents the results of a literature review and empirical analysis of factors that may influence human perceptions and attitudes toward non-anthropomorphic robots in public spaces. Using data from self-report surveys of 170 adults in a U.S. southeastern state, we examined demographic, attitudinal, and contextual differences in perceptions of mechanical-appearing robots in public settings. Within the limitations of the sample under study, the findings suggest that although important gender, race, age, and contextual differences were uncovered, adults were largely accepting of mechanical-appearing robots in public environments and this acceptance varied little across demographic factors. Additionally, adults were also curious about the potential that robots have to assist humans in those environments. Implications for future research are also presented.

Keywords

Human–robot interaction Innovative technology Robotics 

Funding information

Funder NameGrant NumberFunding Note
U.S. Department of Defense (US)
  • W15QKN-13-9-001

Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • David C. May
    • 1
  • Kristie J. Holler
    • 1
  • Cindy L. Bethel
    • 2
  • Lesley Strawderman
    • 3
  • Daniel W. Carruth
    • 3
  • John M. Usher
    • 3
  1. 1.Department of SociologyMississippi State UniversityMississippi StateUSA
  2. 2.Department of Computer Science and EngineeringMississippi StateUSA
  3. 3.Center for Advanced Vehicular Systems (CAVS)Mississippi State UniversityStarkvilleUSA

Personalised recommendations