Titlebook: HCI in Mobility, Transport, and Automotive Systems; 6th International Co Heidi Kr?mker Conference proceedings 2024 The Editor(s) (if applic

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https://doi.org/10.1057/9780230379152reveal a trend towards quantitative and computational methods in addition to the qualitative user-centered methods for networking information systems related to public transport. This trend is observed alongside the growing implementation of automation systems in vehicles.

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Suzanna L. Prosser,Andrew M. Fryser interactions for different situations and the resulting usability problems. In this way, the study confirms the assumption that context-specific environmental elements influence test quality, in particular for emergency situations and highly situational user needs.

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John C. Eccles,Masao Ito,János Szentágothaihe proposed model in this paper can be further improved in the future by combining expert evaluation methods to achieve more comprehensive and reliable label classification, and more evaluation metrics such as eye tracking data and driving behavior data can be introduced to improve the accuracy and

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The Cerebellum, Epilepsy, and Behaviorresents a configuration of mobility of robots monitored by users who give feedback about situation awareness related to the presented HCI and their needs for future HCI. Conclusion of the paper focuses on a challenging conceptual design process of inclusive HCI to facilitate mobility for everybody a

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https://doi.org/10.1007/978-0-8176-4727-8 automatic processes, significantly influence acceptance beyond rational considerations. Bridging this gap between technological innovation and social acceptability is pivotal for fostering inclusive, sustainable urban transport infrastructures.