Non-Visual Interfaces to Enable the Accessibility of Highly Automated Vehicles for People with Vision Impairments

非视觉界面使视力障碍人士能够使用高度自动化的车辆

• 批准号: 536409562
• 负责人: Professor Dr. Enrico Rukzio
• 金额: --
• 依托单位: Institut für Medieninformatik (MI)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/536409562?language=en
• 关键词: Non; Visual; Interfaces; Enable; Accessibility

Highly Automated Vehicles (HAVs) have the potential to change transportation for individuals in the future significantly. Particularly, people with vision impairments (PVIs) can greatly benefit from HAVs, as they will gain autonomy and independence in their mobility, leading to a significant improvement in their lives. However, there are only limited efforts in academia and industry to enable PVIs to use HAVs for their independent transportation yet. Initial academic research looked into this area by conducting qualitative workshops with PVIs to understand their needs inside HAVs. These workshops found a high need for the PVIs to gain knowledge of the HAV’s surrounding traffic situation. This knowledge is commonly referred to as situation awareness, which was initially defined by Endsley in the form of a situation awareness model. Thus, this project’s main goal is enhancing situation awareness in HAVs for PVIs by developing interfaces that build on a systematic evaluation of auditory, haptic, and multi-modalities while considering individual visual acuity. These interfaces should further support PVIs in the interaction with HAVs at the driving task level. The project will also explore if such interfaces can positively affect PVIs’ trust-building and acceptance of HAVs. Based on the insights of the interfaces’ evaluations, we further seek to develop ability-based design guidelines that will provide a framework for designers and developers to create interfaces tailored to the requirements and individual abilities of PVIs. The project contributes to addressing the needs of PVIs in utilizing HAVs for personal transportation. We will achieve this through (1) interfaces that enhance situation awareness for PVIs and improve their ability to comprehend situations and interact with HAVs, (2) ability-based design guidelines, and (3) tools supporting designers, developers, and researchers in creating interfaces for PVIsin HAVs. By undertaking these efforts, we enable PVIs to effectively, efficiently, and independently utilize HAVs for their personal transportation needs.

高度自动化车辆 (HAV) 有可能在未来显着改变个人的交通方式，特别是，有视力障碍的人 (PVI) 可以从 HAV 中受益匪浅，因为他们将获得移动的自主性和独立性，从而显着改善。然而，学术界和工业界在使 PVI 使用 HAV 进行独立交通方面所做的努力还很有限，初步的学术研究通过与 PVI 举办定性研讨会来了解他们的需求。这些研讨会发现 PVI 非常需要了解 HAV 周围的交通状况，这种知识通常称为态势感知，最初由 Endsley 以态势感知模型的形式定义。该项目的主要目标是通过开发基于听觉、触觉和多模态系统评估的界面，同时考虑个人视敏度，增强 PVI 的 HAV 态势感知。这些界面应进一步支持 PVI 中的 PVI。该项目还将探讨此类界面是否可以对 PVI 的信任建立和对 HAV 的接受度产生积极影响。根据界面评估的见解，我们进一步寻求开发基于能力的设计指南。这将为设计人员和开发人员提供一个框架，以创建适合 PVI 的要求和个人能力的界面。该项目有助于满足 PVI 在利用 HAV 进行个人交通方面的需求。我们将通过 (1) 改善情况的界面来实现这一目标。提高对 PVI 的认识并提高他们理解情况并与 HAV 交互的能力，(2) 基于能力的设计指南，以及 (3) 支持设计人员、开发人员和研究人员为 HAV 中的 PVI 创建界面的工具。 PVI 有效、高效且独立地利用 HAV 来满足其个人交通需求。