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Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model

Interdisciplinary Studies

Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model

P. Mantello, M. Ho, et al.

Dive into the intriguing world of affect recognition technology (ART) with this research by Peter Mantello, Manh-Tung Ho, Minh-Hoang Nguyen, and Quan-Hoang Vuong. This study sheds light on the behavioral factors influencing attitudes towards emotional AI, revealing how familiarity with technology and social media habits can ease apprehension toward ART. Discover cultural insights and implications for policymakers in this rapidly evolving field!

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