A Pilot Study of Collaborative Accessibility

Weber, Gerhard

doi:10.1145/2785830.2785875

Cited by 16 publications

(7 citation statements)

References 21 publications

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“…We identify two threads of ongoing research related to crowd work and accessibility that may be usefully expanded through an interdependence framing. First, AT researchers [4,5,9,24,27,53,56,61,62,65] have explored crowd work as a means for people with disabilities to both receive assistance and find employment. Research regarding on-demand assistance focuses on systems, like VizWiz and RegionSpeak [4,6,62], that connect a disabled person in need of assistance with a remote crowd worker.…”

Section: Crowd Work and Interdependencementioning

confidence: 99%

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Interdependence as a Frame for Assistive Technology Research and Design

Bennett

Brady

Branham

2018

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

220

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In this paper, we describe interdependence for assistive technology design, a frame developed to complement the traditional focus on independence in the Assistive Technology field. Interdependence emphasizes collaborative access and people with disabilities' important and often understated contribution in these efforts. We lay the foundation of this frame with literature from the academic discipline of Disability Studies and popular media contributed by contemporary disability justice activists. Then, drawing on cases from our own work, we show how the interdependence frame (1) synthesizes findings from a growing body of research in the Assistive Technology field and (2) helps us orient to additional technology design opportunities. We position interdependence as one possible orientation to, not a prescription for, research and design practice-one that opens new design possibilities and affirms our commitment to equal access for people with disabilities. CCS Concepts • Human-centered design and evaluation methods.

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Section: Crowd Work and Interdependencementioning

confidence: 99%

“…This could include navigation systems that allow a user to triangulate information from multiple sources. Additionally, users with disabilities could enroll access partners [45,61] to suggest alternative routes or to explain segments undiscernible by technology.…”

Section: Navigation and Interdependencementioning

confidence: 99%

Interdependence as a Frame for Assistive Technology Research and Design

Bennett

Brady

Branham

2018

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

220

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“…Finding entrances to the desired building was subject of researchers focused on crowdsourcing. The study says that almost 65% of blind and visually impaired people suffered the mobility hindrance of hard to find entrances in the international survey by Zeng and Weber [12]. To solve this issue authors used collaborative method for collecting information about entrances and buildings and they also created reference point for each entrance, their concept does not use GPS data but it is expected to use some GPS-base tool to navigate to reference point, when user approaches the entrance s/he gets structured and also unstructured collected information by other users.…”

Section: Indoor Navigation For Blindmentioning

confidence: 99%

“…To solve this issue authors used collaborative method for collecting information about entrances and buildings and they also created reference point for each entrance, their concept does not use GPS data but it is expected to use some GPS-base tool to navigate to reference point, when user approaches the entrance s/he gets structured and also unstructured collected information by other users. [12].…”

Section: Indoor Navigation For Blindmentioning

confidence: 99%

Optimizing the Number of Bluetooth Beacons with Proximity Approach at Decision Points for Intermodal Navigation of Blind Pedestrians

Berka

Balata

Mikovec

2018

Annals of Computer Science and Information Systems

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Navigation in urban environments is very challenging for blind pedestrians. Although many navigation approaches using various principles or sensors to help visually impaired people exists nowadays they still have problems to navigate in complex buildings, find entrances to buildings or to navigate to correct public transport stops. Current solutions use a large number of sensor that needs to be installed in the environment needed to track every single move of the user. We present a solution to reduce the number of installed sensors by using previously developed set of landmark-enhanced navigation instructions allowing us to lower the necessary number of Bluetooth beacons by using them only for proximity notification at indoor decision points, indicating public transport station and entrances. The evaluation in the field study (N = 8) suggests a good potential of the approach, especially in terms of usability, recovery from going astray and beacon deployment cost. Further, we provide guidance on beacons placement in the environment.

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“…The entrance of public buildings plays a vital role in connecting outdoor and indoor spaces. Determining the location of the main entrance is essential in many locationbased service (LBS) applications, such as way-finding since it is normally the end destination of outdoor way-finding (Zeng and Weber 2015). However, the entrance information is missing on current mainstream map providers, such as Bing Maps and Google Maps.…”

Section: Introductionmentioning

confidence: 99%

Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning

Noskov

Fan

et al. 2021

International Journal of Geographical Information Science

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The entrance of buildings is an important feature that connects their internal and external environments. Most frequently, automatic approaches for detecting building entrances are based on street-level images, which, however, are not widely available. To address this issue, we propose a more general approach for inferring the location of the main entrance of public buildings based on the association between spatial elements extracted from OpenStreetMap. In particular, we adopt three binary classification approaches: Weighted Random Forest, Balanced Random Forest, and SmoteBoost to model the association relationship. The features considered in the classification are of two types: (1) intrinsic features derived from the footprint, such as the distance to the centroid of the footprint, and (2) extrinsic features derived from spatial contexts, such as the shortest path distance to the main roads. Extensive experiments have been conducted on 320 public buildings with an average perimeter of 350 meters. The experimental results showed that a mean linear distance error of 21 meters and a mean path distance error of 22 meters were achieved by using the Weighted Random Forest and Balanced Random Forest models, ruling out 90% of the incorrect locations of the main entrance at buildings. Our work finds relevance, for example, in saving pedestrians' way-finding efforts.

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A Pilot Study of Collaborative Accessibility

Cited by 16 publications

References 21 publications

Interdependence as a Frame for Assistive Technology Research and Design

Interdependence as a Frame for Assistive Technology Research and Design

Optimizing the Number of Bluetooth Beacons with Proximity Approach at Decision Points for Intermodal Navigation of Blind Pedestrians

Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning

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