An Interactive Design using Human Computer Interaction for Autonomous Vehicles

Shaikh, Asadullah · 2020 · Crossref

DOI: 10.14445/22315381/cati3p226

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Summary

This paper addresses the safety risks associated with using electronic devices, particularly mobile phones, while driving. The author proposes an interactive design framework using Human-Computer Interaction (HCI) techniques to integrate device controls into the vehicle’s interface, thereby reducing driver distraction. The study is motivated by the high prevalence of smartphone usage and the resulting accidents caused by visual and manual distraction. The goal is to create a system that allows drivers to control essential phone functions and utilize driving assistance systems without compromising their primary task of driving. The research follows a three-phase methodology: Analysis, Design, and Evaluation. In the Analysis phase, the author conducted two questionnaires to gather user requirements and opinions. The first questionnaire identified commonly used devices and functionalities, while the second assessed attitudes toward driving assistance systems and notification preferences. These findings were synthesized using a PACT (People, Activities, Contexts, Technology) analysis to define specific interface requirements. The Design phase involved creating a conceptual interface that combines steering wheel controls, voice recognition, and a graphical display. The Evaluation phase utilized a paper prototype tested in an imaginary driving scenario to assess usability. Key findings from the user surveys indicate that while many drivers currently use phones for calls and SMS, they often avoid other functionalities due to safety concerns. Users expressed a desire for driving assistance systems, particularly those that provide automatic braking or distance keeping during emergencies, though opinions varied on manual versus automatic activation. Visual notifications were preferred over auditory ones. Based on these insights, the proposed design features a hierarchical menu system accessible via a joystick on the steering wheel and a touchscreen. The interface prioritizes high-frequency tasks, such as answering calls and controlling music, ensuring they are easily accessible. To enhance safety, the system employs voice commands for navigation and execution, allowing drivers to operate the interface without visual contact. The design also includes robustness features to prevent accidental inputs and allows a co-driver to take control if necessary. The significance of this work lies in its contribution to safer in-vehicle interaction models. By aligning the interface with users' mental models and minimizing visual distraction, the proposed design aims to reduce the cognitive load on drivers. The paper concludes that integrating electronic device controls into the vehicle’s native interface, supported by voice and tactile controls, can significantly improve driver safety. The study highlights the importance of usability factors such as ease of learning, task efficiency, and robustness in the development of future autonomous and assisted driving systems.

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Topics

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• automation
• mobile phones
• ehmi external hmi

Information type

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• Applied Guidance: design guidelines