Identifying the Factors Influencing Older Adults' Perceptions of Fully Automated Vehicles

Shabnam Haghzare, Jennifer L. Campos, Alex Mihailidis
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引用次数: 3

Abstract

While Fully Automated Vehicles (FAVs) have the potential to significantly expand older adults' access to mobility, limited research has focused on older adults' perceptions of such technology. The current driving simulation-based study will investigate factors that may govern older adults' perceptions of FAVs with respect to trust, acceptability, and safety. Participants (65+) will experience scenarios of manual and fully automated driving in a high-fidelity driving simulator. Their perceptions of the FAV will be measured before and after the driving experiences using questionnaires. Physiological and behavioral data will also be collected throughout the driving sessions to investigate whether positive or negative perceptions of technology are associated with behavioral or physiological responses. In addition, driving performance and driving styles of participants will be captured during manual driving to investigate whether an alignment between an individual's driving style and the FAV driving style will lead to a more positive perception towards FAVs.
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确定影响老年人对全自动驾驶汽车看法的因素
虽然全自动驾驶汽车(fav)有可能大大增加老年人的出行机会,但关注老年人对这种技术的看法的研究有限。当前基于驾驶模拟的研究将调查可能影响老年人在信任、可接受性和安全性方面对自动驾驶汽车的看法的因素。参与者(65岁以上)将在高保真驾驶模拟器中体验手动驾驶和全自动驾驶场景。他们对FAV的感知将在驾驶体验前后使用问卷进行测量。生理和行为数据也将在驾驶过程中收集,以调查对技术的积极或消极看法是否与行为或生理反应有关。此外,在手动驾驶过程中,参与者的驾驶表现和驾驶风格将被捕获,以调查个人驾驶风格与最优驾驶风格之间的一致性是否会导致对最优驾驶风格的更积极的看法。
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