NavCog3 in the Wild
NavCog3 in the Wild
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DOI：
10.1145/3340319
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发表时间：
2019-08
期刊：
影响因子：
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通讯作者：
Daisuke Sato;U. Oh;J. Guerreiro;D. Ahmetovic;Kakuya Naito;Hironobu Takagi;Kris M. Kitani;C. Asakawa
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文献类型：
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作者：
Daisuke Sato;U. Oh;J. Guerreiro;D. Ahmetovic;Kakuya Naito;Hironobu Takagi;Kris M. Kitani;C. Asakawa
NavCog3 是我们专门开发的智能手机路线导航辅助系统，旨在为视力障碍人士提供独立导航。 NavCog3 使用安装在周围环境中的现成蓝牙信标和用户携带的商用智能手机，在现实世界的大规模场景中实现了无与伦比的定位精度。通过利用其准确的定位功能，NavCog3 引导用户穿过环境，并指示附近存在语义特征和兴趣点（例如门口、商店）。为了评估 NavCog3 促进视力障碍人士独立活动的能力，我们在两个具有挑战性的现实场景中部署和评估了该系统。第一个场景展示了该系统的可扩展性，该系统被永久安装在一个横跨三栋建筑和一个公共地下区域的五层购物中心中。在研究期间，10 名参与者穿越了 3 条固定路线，43 名参与者穿越了环境中的自由选择路线。第二个场景验证了该系统在为视力障碍人士举办的会议期间临时配备 NavCog3 的酒店综合体中的野外可用性。在酒店中，从 37 位独立用户收集了近 14.2 小时的系统使用数据，这些用户在整个环境中进行了 280 次旅行，总旅行次数为 30,200m。
NavCog3 is a smartphone turn-by-turn navigation assistant system we developed specifically designed to enable independent navigation for people with visual impairments. Using off-the-shelf Bluetooth beacons installed in the surrounding environment and a commodity smartphone carried by the user, NavCog3 achieves unparalleled localization accuracy in real-world large-scale scenarios. By leveraging its accurate localization capabilities, NavCog3 guides the user through the environment and signals the presence of semantic features and points of interest in the vicinity (e.g., doorways, shops). To assess the capability of NavCog3 to promote independent mobility of individuals with visual impairments, we deployed and evaluated the system in two challenging real-world scenarios. The first scenario demonstrated the scalability of the system, which was permanently installed in a five-story shopping mall spanning three buildings and a public underground area. During the study, 10 participants traversed three fixed routes, and 43 participants traversed free-choice routes across the environment. The second scenario validated the system’s usability in the wild in a hotel complex temporarily equipped with NavCog3 during a conference for individuals with visual impairments. In the hotel, almost 14.2h of system usage data were collected from 37 unique users who performed 280 travels across the environment, for a total of 30,200m traversed.