@article{22,
  author = {Vishnu Nair and Greg Olmschenk and William Seiple and Zhigang Zhu},
  title = {ASSIST: Evaluating the usability and performance of an indoor navigation assistant for blind and visually impaired people},
  abstract = {This paper describes the interface and testing of an indoor navigation app - ASSIST - that guides blind & visually impaired (BVI) individuals through an indoor environment with high accuracy while augmenting their understanding of the surrounding environment. ASSIST features personalized interfaces by considering the unique experiences that BVI individuals have in indoor wayfinding and offers multiple levels of multimodal feedback. After an overview of the technical approach and implementation of the first prototype of the ASSIST system, the results of two pilot studies performed with BVI individuals are presented – a performance study to collect data on mobility (walking speed, collisions, and navigation errors) while using the app, and a usability study to collect user evaluation data on the perceived helpfulness, safety, ease-of-use, and overall experience while using the app. Our studies show that ASSIST is useful in providing users with navigational guidance, improving their efficiency and (more significantly) their safety and accuracy in wayfinding indoors. Findings and user feed-back from the studies confirm some of the previous results, while also providing some new insights into the creation of such an app, including the use of customized user interfaces and expanding the types of information provided.},
  year = {2020},
  journal = {Assistive Technology},
  chapter = {1},
  pages = {11},
  month = {09},
  issn = {1040-0435},
  url = {https://par.nsf.gov/biblio/10286802},
  doi = {10.1080/10400435.2020.1809553},
}