Social Aspects of ESG in Higher Education: University Students' Attitudes Towards Robots

Robots play an increasing role in education as these can support teaching, learning and increase students' interest in science, technology and engineering. However, market access and sustainable application of robots in education requires knowledge on their acceptance by target users. The aim of our study was to investigate university students' attitudes towards robots in general. A cross-sectional survey was performed involving a sample of 1,000 citizens, representative for the general adult population of Hungary. Among them, there were 30 university students, their data were analyzed. The average Negative Attitudes towards Robots Scale (NARS) score was 16.0 (SD=6.1; scale range: 6–30) on the Social Interactions, 16.3 (SD=4.2; scale range: 5–25) on the Social Influence and 9.5 (SD=3.7; scale range: 3–15) on the Emotional Interactions subscales. The average score of the Negative Attitudes subscale of the Multi-dimensional Robot Attitude Scale (MdRAS) tool was -0.4 (SD=0.3; scale range: -3-3). The average Robot Anxiety Scale (RAS) score was 11.8 (SD=3.0; scale range 3–18) on the Communication Capability, 14.1 (SD=4.3; scale range: 4–24) on the Behavioral Characteristics and 15.2 (SD=4.4; scale range: 4–24) on the Discourse with Robots subscales. Our results highlight the existence of negative attitudes and anxiety toward robots among university students, although at different levels for different robot characteristics and use. Targeted research involving larger samples and educational programs are encouraged to support the designing, implementation and management of educational robots in universities.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/lindi63813.2024.10820421
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social Aspects of ESG in Higher Education: University Students' Attitudes Towards Robots

Márta Péntek, L Gulácsi, Botond Fehér
AI in Service Interactions
article

Social Aspects of ESG in Higher Education: University Students' Attitudes Towards Robots

Márta Péntek, L Gulácsi, Botond Fehér
article en

Abstract

Robots play an increasing role in education as these can support teaching, learning and increase students' interest in science, technology and engineering. However, market access and sustainable application of robots in education requires knowledge on their acceptance by target users. The aim of our study was to investigate university students' attitudes towards robots in general. A cross-sectional survey was performed involving a sample of 1,000 citizens, representative for the general adult population of Hungary. Among them, there were 30 university students, their data were analyzed. The average Negative Attitudes towards Robots Scale (NARS) score was 16.0 (SD=6.1; scale range: 6–30) on the Social Interactions, 16.3 (SD=4.2; scale range: 5–25) on the Social Influence and 9.5 (SD=3.7; scale range: 3–15) on the Emotional Interactions subscales. The average score of the Negative Attitudes subscale of the Multi-dimensional Robot Attitude Scale (MdRAS) tool was -0.4 (SD=0.3; scale range: -3-3). The average Robot Anxiety Scale (RAS) score was 11.8 (SD=3.0; scale range 3–18) on the Communication Capability, 14.1 (SD=4.3; scale range: 4–24) on the Behavioral Characteristics and 15.2 (SD=4.4; scale range: 4–24) on the Discourse with Robots subscales. Our results highlight the existence of negative attitudes and anxiety toward robots among university students, although at different levels for different robot characteristics and use. Targeted research involving larger samples and educational programs are encouraged to support the designing, implementation and management of educational robots in universities.

Obuda University (HU)
Quality Education
Openalex Percentile: Top 77%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.