Abstract
Emerging technology refers to new, unestablished, and not widely recognized science and technology, and differs from existing science and technology that has widely penetrated society and occupied a definite position. One of the simplest methods to confirm how such emerging technology will be accepted in society would be a questionnaire survey for the people. However, the results of the questionnaire survey often indicate that many respondents “do not know” or “are not interested” in such new and uncertain technology. Furthermore, it is assumed that these opinions are not established as their own ideas. In this study, we focused on “social interaction” with regard to opinion learning on emerging science and technology. We decided to examine whether viewing other participants’ answers would cause changes in individual responses. We developed a web system, SimSOL, which allows multiple participants to answer questions at the same time, instead of individual questionnaires. The results showed that the sharing of opinions in groups of five tended to change the answers to four of the 20 questions.
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Acknowledgement
This work was supported by JPMJOP1851 and JSPS KAKENHI Grant Number 20H01748.
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Ito, K., Ezaki, K., Yamaguchi, T. (2023). An Online Opinion-Learning Experiment Simulating Social Interaction on Emerging Technologies: A Case Study of Genome-Edited Crops. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_34
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DOI: https://doi.org/10.1007/978-3-031-35129-7_34
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