Enhancing User Acceptance in Human-Machine Interaction
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Author (Corporation)
Publication date
2025
Typ of student thesis
Master
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
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Olten
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Abstract
This study contributes to the field of user acceptance in hybrid Human-Machine Interaction (HMI) environments by establishing criteria and best practices in the exploration of factors that drive acceptance in hybrid HMI settings. This research provides a framework to guide the future development of the ABILI platform, ensuring it meets both user needs and industry demands.
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Review
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Citation
Calazacón Pinela, A. C. (2025). Enhancing User Acceptance in Human-Machine Interaction [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/54874