Fu, H; Zhu, H; Xue, P; Hu, X; Guo, X and Liu, B (2023) Eye-tracking study of public acceptance of 5g base stations in the context of the COVID-19 pandemic. Engineering, Construction and Architectural Management, 30(8), pp. 3416-3437. ISSN 0969-9988
Abstract
Purpose: This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations. Design/methodology/approach: This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). Findings: (1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk. Originality/value: Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 5g base station; COVID-19; eye-tracking; public acceptance; stimulus-organism-response model; technology acceptance model |
| Index terms: | influencing factor, pandemic, technology acceptance model, experiment, perceived usefulness, structural equation modelling, COVID-19, partial least square, questionnaire, perceived ease of use, methodology |
| Subjects: | statistical analysis, behavioral psychology, research methods, health risk and incident analysis, acoustic properties, risk assessment, data collection methods |
| Topics: | Health and Safety, Engineering Principles, Research Practice, Risk Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here