BScanner: A Crowdsourcing Platform for Constructing Accessibility Maps to Support Multiple Participation Types
Authors: 
Akihiro Miyata, 
Kazuki Okugawa, Yuki Yamato, Megumi Aibara, Masakazu Furuichi, Yuko MurayamaAuthors Info & Claims
Akihiro Miyata, Kazuki Okugawa, Yuki Yamato, Megumi Aibara, Masakazu Furuichi, Yuko MurayamaAuthors Info & ClaimsPages 666 - 670
Abstract
Accessibility maps enable impaired/elderly people to move more smoothly. However, very few cases satisfy both the accuracy and coverage required, due to the high cost of physically auditing roads. Though crowdsourcing approaches could solve this problem, existing studies rely on volunteers who are highly motivated and have enough free time. In this paper, we propose a crowdsourcing platform for constructing accessibility maps that supports multiple participation types: manual reporting for people who are highly motivated and have free time, walking for people who are highly motivated but do not have free time, and game playing for people who are less motivated but have free time. This design allows people to select a suitable way to participate, depending on their motivation and time. We have developed a prototype system by integrating deep learning techniques, a game design theory, and heatmap visualization.
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Published In
December 2020
764 pages
ISBN:9781450389754
DOI:10.1145/3441000
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 15 February 2021
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OzCHI '20
OzCHI '20: 32nd Australian Conference on Human-Computer-Interaction
December 2 - 4, 2020
NSW, Sydney, Australia
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