Replication Data for: Fostering Public Acceptance of Robotics Through Inclusive HRI Experiments: An Empirical Study

DOI

Study Overview: Human-Robot Interaction (HRI)

Methodology: In this study, we used a two-step surveying approach to observe the change in users' opinion about robotics and HRI via a physical experiment. 31 participants completed pre- and post-experiment surveys after a physical collaborative lifting task with a UR5e cobot.

User Perception Questionnaires Total of 9 perceptions investigated:

Q1: I think robotics technology has developed a lot and it amuses me. Q2: I think robotics technology has developed a lot and it scares me. Q3: I think robots will take over human jobs and THEREFORE many people will be unemployed. Q4: I think robots will take over human jobs and BUT many new jobs opportunities will be formed. Q5: I think robots will take over heavy human jobs and the average life quality will increase. Q6: I prefer humans and robots work together instead of removing either of them from the picture. Q7: I believe there are many jobs that humans cannot be as good as robots. Q8: I believe there are many jobs that robots will never be as good as humans. Q9: I believe that robots will take over the world and destroy humankind one day.

Investigated User Parameters The shift was investigated based on these 9 parameters:

Age and Sex Current and Past Gaming Habits Programming Experience Familiarity to Robotics Field Proximity to Robots (e.g., robot cleaners) Familiarity to Industrial Robots Interest in Robotics

Identifier
DOI https://doi.org/10.18710/DDTVRD
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/DDTVRD
Provenance
Creator Venås, Gizem Ateş ORCID logo
Publisher DataverseNO
Contributor Venås, Gizem Ateş; Western Norway University of Applied Sciences; Kyrkjebø; Erik; Stølen; Martin Fodstad
Publication Year 2026
Funding Reference The Research Council of Norway 280771
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Venås, Gizem Ateş (Western Norway University of Applied Sciences)
Representation
Resource Type Dataset
Format text/plain; text/comma-separated-values; application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 14224; 16405; 19318; 374697; 25547; 9650; 345144; 1134; 1498
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences