为包容性共享乘车的未来提供可访问的地图
Paul D S Fink1, Hannah Milne1, Anthony Caccese1
1VEMI Lab, The University of Maine, Orono, ME, USA.
概括
盲人和视力低下者 (BLV) 现在可以使用新的智能手机系统更好地跟踪共享车辆. 振动音频地图 (VAM) 提高了BLV旅行者的空间意识和可用性.
科学领域:
- 人与计算机的交互
- 辅助技术 辅助技术 辅助技术
- 移动辅助工具 移动辅助工具
背景情况:
- 乘车共享可以提高盲人和视力低下者 (BLV) 的独立性.
- 对于BLV用户来说,一个关键的挑战是,在不可预测的到达点定位召唤的车辆.
- 未来的自动驾驶汽车需要先进的非视觉导航解决方案.
研究的目的:
- 介绍和评估基于智能手机的多感应地图系统,用于非视觉车辆跟踪.
- 评估BLV共享乘车用户对振动音频地图 (VAM) 的可用性和有效性.
主要方法:
- 一项涉及12名BLV参与者的用户研究评估了振动音频地图 (VAM).
- 将VAM与现有的非视觉音频接口在乘车共享应用中的比较.
- 根据用户反进行专家评估,以评估实际实用性.
主要成果:
- 与目前的非视觉音频接口相比,振动音频地图 (VAM) 显示出更高的空间信心和推理能力.
- BLV用户发现VAM是可取且易于使用的.
- 专家评估证实了VAM对于当前和未来的路线查找的实际实用性.
结论:
- 振动音频地图 (VAM) 为BLV个人提供了一个有前途的解决方案,用于跟踪共享车辆.
- 该系统解决了人类驱动和自动化未来交通的关键挑战.
- 虚拟机增强了BLV旅行者的空间推理和用户体验.
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