This paper is in the following e-collection/theme issue:

Research Instruments, Questionnaires, and Tools (576) Digital Health Reviews (1289) Robots in Healthcare (86) Reviews on Human Factors (52) Tools and Questionnaires in Human Factors Evaluation (51) Methods and Instruments in Medical Informatics (126)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55597, first published .
Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties

Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties

Instruments for Measuring Psychological Dimensions in Human-Robot Interaction: Systematic Review of Psychometric Properties

Authors of this article:

Roberto Vagnetti1 Author Orcid Image ;   Nicola Camp1 Author Orcid Image ;   Matthew Story2 Author Orcid Image ;   Khaoula Ait-Belaid3 Author Orcid Image ;   Suvobrata Mitra4 Author Orcid Image ;   Massimiliano Zecca3 Author Orcid Image ;   Alessandro Di Nuovo2 Author Orcid Image ;   Daniele Magistro1 Author Orcid Image
Article Authors Cited by Tweetations (11) Metrics

Roberto Vagnetti   1 , PhD ;   Nicola Camp   1 , MSc ;   Matthew Story   2 , PhD ;   Khaoula Ait-Belaid   3 , PhD ;   Suvobrata Mitra   4 , PhD ;   Massimiliano Zecca   3 , PhD ;   Alessandro Di Nuovo   2 , PhD ;   Daniele Magistro   1 , PhD

1 Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom

2 Department of Computing & Advanced Wellbeing Research Centre, Sheffield Hallam University, Sheffield, United Kingdom

3 Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, United Kingdom

4 Department of Psychology, Nottingham Trent University, Nottingham, United Kingdom

Corresponding Author:

  • Daniele Magistro, PhD
  • Department of Sport Science
  • School of Science and Technology
  • Nottingham Trent University
  • College Drive
  • Clifton
  • Nottingham, NG11 8NS
  • United Kingdom
  • Phone: 44 115 848 3522
  • Email: daniele.magistro@ntu.ac.uk