Touch your way

Song, Jiwon; Yang, Sungho

doi:10.1145/1753846.1753982

Cited by 8 publications

(2 citation statements)

References 3 publications

(3 reference statements)

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“…Independent use of technology is often a driving factor for the design of technology for people with disabilities [13,25,60]. Future interactions described by our participants build on the idea of independence described by Kameswaran et al [30].…”

Section: Future Interactionsmentioning

confidence: 87%

The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

Barbareschi

Holloway

Arnold

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Living in an informal settlement with a visual impairment can be very challenging resulting in social exclusion. Mobile phones have been shown to be hugely beneficial to people with sight loss in formal and high-income settings. However, little is known about whether these results hold true for people with visual impairment (VIPs) in informal settlements. We present the findings of a case study of mobile technology use by VIPs in Kibera, an informal settlement in Nairobi. We used contextual interviews, ethnographic observations and a co-design workshop to explore how VIPs use mobile phones in their daily lives, and how this use influences the social infrastructure of VIPs. Our findings suggest that mobile technology supports and shapes the creation of social infrastructure. However, this is only made possible through the existing support networks of the VIPs, which are mediated through four types of interaction: direct, supported, dependent and restricted.

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Section: Future Interactionsmentioning

confidence: 87%

The Social Network: How People with Visual Impairment use Mobile Phones in Kibera, Kenya

Barbareschi

Holloway

Arnold

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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“…Studies on the navigational experiences of people with little to no functional vision (e.g. Banovic et al, 2013;Williams et al, 2014) found that blind pedestrians need to be aware of their physical location, their relation to the surrounding environment, and the route they must follow in order to be able to navigate to a desired destination (Song and Yang, 2010). Researchers have also addressed the use of technology as a means for enabling blind pedestrians to identify their location and orientation and successfully navigate in their surroundings (Fernandes et al, 2017).…”

Section: Assistive Technologies For Blind Pedestriansmentioning

confidence: 99%

Route planning for blind pedestrians using OpenStreetMap

Cohen

Dalyot

2020

Environment and Planning B: Urban Analytics and City Science

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While most of us take wayfinding and orientation for granted, instinctively utilizing our visual channels to do so, millions of blind people around the world face challenges and obstacles when attempting to perform the most basic tasks, such as walking to the corner store or using public transportation. As blind pedestrians lack critical information about the space they traverse outside the familiarity of their home, they are restricted, dependent on others, and have decreased quality of life. While assistive technologies for providing specific navigation solutions do exist, research is still limited regarding customized wayfinding solutions for blind pedestrians. This research aims at developing a wayfinding algorithm that relies on the OpenStreetMap mapping catalogue for planning accessible and safe routes specifically suited to blind pedestrians. In-depth investigations, observations, and interviews were conducted with blind people and with orientation and mobility instructors, in order to define and categorize spatial criteria relating to mobility, accessibility, and safety. Using controlled iterative experiments, weighted network graph criteria were defined, leading to the development of a route planning software that generates optimized routes for blind pedestrians. The developed software was then tested on a variety of routes, with the help of blind volunteers and orientation and mobility instructors. The results show that the optimal routes generated by the software were identical or very similar to those suggested by the experienced orientation and mobility instructors. Moreover, the blind volunteers also stated that the software planned routes were indeed more accessible and safer for them to walk along compared to routes suggested by existing commercial software developed for seeing pedestrians. The findings of this research indicate that our solution, based on OpenStreetMap and developed for the benefit of blind pedestrians, is effective and practical, and could improve the mobility, independence, and quality of life of this population, as well as increasing their integration into society.

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