Mobile Tagging and Accessibility Information Sharing Using a Geospatial Digital Library

Goh, Dion Hoe‐Lian; Sepoetro, Louisiana Liman; Ma, Qi; Ramakhrisnan, Ramaravikumar; Theng, Yin‐Leng; Puspitasari, Fiftarina; Lim, Ee-Peng

doi:10.1007/978-3-540-77094-7_38

Cited by 12 publications

(6 citation statements)

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“…Several researchers agree that usefulness and usability are the most significant concepts for the user-centred evaluation of information services [6,7,17,18]. Thus the OPACIAL evaluation aims to investigate how useful and easy are the new library services.…”

Section: Methodsmentioning

confidence: 99%

Enhancing Library Services with Web 2.0 Functionalities

Gavrilis

Kakali

Papatheodorou

2008

Research and Advanced Technology for Digital Libraries

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Abstract. In this paper, a prototype of an Online Public Access Catalog (OPAC) is presented. This new OPAC features new functionalities and utilizes web 2.0 technologies in order to deliver improved search and retrieval services. Some of these new services include social tag annotations, user opinions and ranks and tag-based similarity searches. The prototype is evaluated by a user group through questionnaires, interviews and with the system's integrated logging mechanism. The results are encouraging enough and show that Library 2.0 technologies seem to be acceptable by the majority of the users.

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Section: Methodsmentioning

confidence: 99%

Enhancing Library Services with Web 2.0 Functionalities

Gavrilis

Kakali

Papatheodorou

2008

Research and Advanced Technology for Digital Libraries

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“…Further, mobile G-portal [18] is a learning assistant integrated a Web-based geospatial digital library of geography resources that supports collaborative sharing and learning for geography fieldwork [8]. Finally, MoTag [4] is a mobile application that is used to help people with disabilities share up-to-date accessibility information about buildings and other physical structure to help them navigate around their environment. However, these systems generally do not support users' further effort to enrich the content with more information.…”

Section: Related Workmentioning

confidence: 99%

Investigating the usability of a mobile location-based annotation system

Pham

Razikin

Goh

et al. 2010

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

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We investigate the usability of MobiTOP (Mobile Tagging of Objects and People), a mobile location-based annotation system. MobiTOP allows users to annotate real world locations with both multimedia and textual content and concurrently, share the annotations among its users. Equipped with a new interface as well as additional functionality such as clustering of annotations and advanced search and filtering options, a usability evaluation of MobiTOP was conducted in the context of a travel companion for tourists. The results suggested the potential of the system in terms of functionality for mobile content sharing. Participants agree that the features in MobiTOP are generally usable as a content sharing tool. Implications and future work are also reported in this paper.

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“…Goh et al suggested that services that allow users to assess accessibility of a given point-of-interest (e.g., a store, restaurant) could be useful for people with disabilities [52,68,69]. People with mobility impairments could use the services to identify whether the places are navigable.…”

Section: Accessibility-aware Poi Searchmentioning

confidence: 99%

Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments

Hara

2014

Proceedings of the Adjunct Publication of the 27th Annual ACM Symposium on User Interface Software and Technology - UIST'14 Adj

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Poorly maintained sidewalks pose considerable accessibility challenges for people with mobility impairments. Despite comprehensive civil rights legislation of Americans with Disabilities Act, many city streets and sidewalks in the U.S. remain inaccessible.The problem is not just that sidewalk accessibility fundamentally affects where and how people travel in cities, but also that there are few, if any, mechanisms to determine accessible areas of a city a priori.To address this problem, my Ph.D. dissertation introduces and evaluates new scalable methods for collecting data about street-level accessibility using a combination of crowdsourcing, automated methods, and Google Street View (GSV). My dissertation has four research threads. First, we conduct a formative interview study to establish a better understanding of how people with mobility impairments currently assess accessibility in the built environment and the role of emerging location-based technologies therein. The study uncovers the existing methods for assessing accessibility of physical environment and identify useful features of future assistive technologies. Second, we develop and evaluate scalable crowdsourced accessibility data collection methods. We show that paid crowd workers recruited from an online labor marketplace can find and label accessibility attributes in GSV with accuracy of 81%. This accuracy improves to 93% with quality control mechanisms such as majority vote. Third, we design a system that combines crowdsourcing and automated methods to increase data collection efficiency. Our work shows that by combining crowdsourcing and automated methods, we can increase data collection efficiency by 13% without sacrificing accuracy. Fourth, we develop and deploy a web tool that lets volunteers to help us collect the street-level accessibility data from Washington, D.C.As of writing this dissertation, we have collected the accessibility data from 20% of the streets in D.C. We conduct a preliminary evaluation on how the said web tool is used.Finally, we implement proof-of-concept accessibility-aware applications with accessibility data collected with the help of volunteers.My dissertation contributes to the accessibility, computer science, and HCI communities by: (i) extending the knowledge of how people with mobility impairments interact with technology to navigate in cities; (ii) introducing the first work that demonstrates that GSV is a viable source for learning about the accessibility of the physical world; (iii) introducing the first method that combines crowdsourcing and automated methods to remotely collect accessibility information; (iv) deploying interactive web tools that allow volunteers to help populate the largest dataset about street-level accessibility of the world; and (v) demonstrating accessibility-aware applications that empower people with mobility impairments.

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Mobile Tagging and Accessibility Information Sharing Using a Geospatial Digital Library

Cited by 12 publications

References 13 publications

Enhancing Library Services with Web 2.0 Functionalities

Enhancing Library Services with Web 2.0 Functionalities

Investigating the usability of a mobile location-based annotation system

Scalable methods to collect and visualize sidewalk accessibility data for people with mobility impairments

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