Study on emotional AI and gen Z in the news
AISDL
September 2, 2022
This feature article draws upon the science communication piece on EurekAlert [1], a platform managed by the American Association for the Advancement of Science (AAAS). AAAS is the publisher of the world-renowned scientific journal Science. The article introduces research results learning about the socio-cultural factors that influence the acceptance of new AI technology among Generation Z, published in the high-impact journal Technology in Society [2], published by Elsevier.
https://www.eurekalert.org/news-releases/962490
The results were part of the project called “Emotional AI in Cities: Cross Cultural Lessons from UK and Japan on Designing for an Ethical Life,” funded by JST-UKRI Joint Call on Artificial Intelligence and Society (2019), Grant No. JPMJRX19H6.
The original research article has brought intriguing insights concerning identified socio-cultural factors that deeply impact the acceptance of new technology. It has demonstrated that theories based on the traditional technology acceptance model by Davis, originally not accounting for these factors, will need to be modified, according to Professor P. Mantello, the study’s senior author [1,2].
Furthermore, another senior author, Prof N. Ghotbi, highlighted: “We found that being male and having high income were both correlated with having positive attitudes towards accepting NCDC. In addition, business majors were more likely to be more tolerant towards NCDC” [1].
https://www.sciencedirect.com/science/article/pii/S0160791X2200152X
What is more interesting to us–the BMF community–is that this potentially highly impactful research has been performed with technical support from the mindsponge theory [3] and the BMF analytics [4]. The EurekAlert article unveiled:
“The study addressed this issue by proposing a “mind-sponge” model-based approach that accounts for socio-cultural factors in assessing the acceptance of AI technology. Additionally, it also suggested a thorough understanding of the potential risks of the technology to enable effective governance and ethical design.”
We note that the scicomm piece used the term “mind-sponge”, i.e., mindsponge with a hyphen. Tantalizingly, this somewhat “misspelled” term had once been the historical name of the conceptual framework before the hyphen was removed upon the agreement between the authors, Q. H. Vuong and N. K. Napier, later on. In the newest book marking the first decade of the concept, titled Mindsponge Theory, the term has been reaffirmed to be the one without the hyphen [5].
The publishing of this important research article in a high-impact journal has demonstrated the capability and impact of both the mindsponge theory and the calibrated BMF analytics for good.
References
[1] Yuko Kato. (2022, August 23). Emotional AI and gen Z: The attitude towards new technology and its concerns. EurekAlert. https://www.eurekalert.org/news-releases/962490
[2] Manh-Tung Ho, Peter Mantello, Nader Ghotbi, et al. (2022). Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection. Technology in Society, 70, 102011. https://doi.org/10.1016/j.techsoc.2022.102011
[3] Quan-Hoang Vuong, Nancy K. Napier. (2015). Acculturation and global mindsponge: an emerging market perspective. International Journal of Intercultural Relations, 49, 354-367.
[4] Minh-Hoang Nguyen, et al. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808. https://www.sciencedirect.com/science/article/pii/S2215016122001881
[5] Quan-Hoang Vuong. (2022). Mindsponge Theory. https://books.google.com/books?id=OSiGEAAAQBAJ
September 2, 2022
This feature article draws upon the science communication piece on EurekAlert [1], a platform managed by the American Association for the Advancement of Science (AAAS). AAAS is the publisher of the world-renowned scientific journal Science. The article introduces research results learning about the socio-cultural factors that influence the acceptance of new AI technology among Generation Z, published in the high-impact journal Technology in Society [2], published by Elsevier.
https://www.eurekalert.org/news-releases/962490
The results were part of the project called “Emotional AI in Cities: Cross Cultural Lessons from UK and Japan on Designing for an Ethical Life,” funded by JST-UKRI Joint Call on Artificial Intelligence and Society (2019), Grant No. JPMJRX19H6.
The original research article has brought intriguing insights concerning identified socio-cultural factors that deeply impact the acceptance of new technology. It has demonstrated that theories based on the traditional technology acceptance model by Davis, originally not accounting for these factors, will need to be modified, according to Professor P. Mantello, the study’s senior author [1,2].
Furthermore, another senior author, Prof N. Ghotbi, highlighted: “We found that being male and having high income were both correlated with having positive attitudes towards accepting NCDC. In addition, business majors were more likely to be more tolerant towards NCDC” [1].
https://www.sciencedirect.com/science/article/pii/S0160791X2200152X
What is more interesting to us–the BMF community–is that this potentially highly impactful research has been performed with technical support from the mindsponge theory [3] and the BMF analytics [4]. The EurekAlert article unveiled:
“The study addressed this issue by proposing a “mind-sponge” model-based approach that accounts for socio-cultural factors in assessing the acceptance of AI technology. Additionally, it also suggested a thorough understanding of the potential risks of the technology to enable effective governance and ethical design.”
We note that the scicomm piece used the term “mind-sponge”, i.e., mindsponge with a hyphen. Tantalizingly, this somewhat “misspelled” term had once been the historical name of the conceptual framework before the hyphen was removed upon the agreement between the authors, Q. H. Vuong and N. K. Napier, later on. In the newest book marking the first decade of the concept, titled Mindsponge Theory, the term has been reaffirmed to be the one without the hyphen [5].
The publishing of this important research article in a high-impact journal has demonstrated the capability and impact of both the mindsponge theory and the calibrated BMF analytics for good.
References
[1] Yuko Kato. (2022, August 23). Emotional AI and gen Z: The attitude towards new technology and its concerns. EurekAlert. https://www.eurekalert.org/news-releases/962490
[2] Manh-Tung Ho, Peter Mantello, Nader Ghotbi, et al. (2022). Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection. Technology in Society, 70, 102011. https://doi.org/10.1016/j.techsoc.2022.102011
[3] Quan-Hoang Vuong, Nancy K. Napier. (2015). Acculturation and global mindsponge: an emerging market perspective. International Journal of Intercultural Relations, 49, 354-367.
[4] Minh-Hoang Nguyen, et al. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808. https://www.sciencedirect.com/science/article/pii/S2215016122001881
[5] Quan-Hoang Vuong. (2022). Mindsponge Theory. https://books.google.com/books?id=OSiGEAAAQBAJ