TATU: an Approach for Supporting Tourists with Disabilities to Indoor and Outdoor Navigation using Mobile Devices
Resumo
People with disabilities living in Brazil face great difficulties in the tasks of daily life mainly due to the lack of accessibility in public spaces, products and services. In this context, we noticed a lack of a computing tool that embraces both people with visual and hearing impairment. This work presents TATU -- a mobile application for both Android and iOS platforms aimed at supporting people with visual or hearing impairment to enjoy Brazilian tourist attractions, including both open-air and indoor spaces. TATU application has an adaptive interface exclusively designed for each of the impairment user profiles, it can work on guided tour mode by indoor navigation using BLE beacons and outdoor navigation using GPS. Our solution was evaluated by three experiments, one of which was carried out with blind volunteers and TATU application obtained satisfactory results for both spacious attractions with the lowest density of collection items and for the smallest spaces.
Palavras-chave:
mobile development, visual and hearing impairment, usability, Libras, museum tour for blind people
Referências
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Coutinho, F. et al. (2011). An analysis of information conveyed through audio in an fps game and its impact on deaf players experience. InSBGames 2011, pages 53–62.
Gezici, S. et al. (2005). Localization via ultra-wideband radios: A look at positioningaspects for future sensor networks.IEEE Signal Processing Magazine, 22:70–84.
IBGE (2015).Pesquisa nacional de saúde: 2013: ciclos de vida: Brasil e grandes regiões.IBGE. (In Portuguese).
Jeon, K. E. et al. (2018). BLE Beacons for Internet of Things Applications: Survey,Challenges and Opportunities.IEEE Internet of Things Journal, 5(2):811–828.
Kotaru, M. et al. (2015). Spotfi: Decimeter level localization using wifi. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, page 269–282
Ma, Z., Poslad, S., Bigham, J., Zhang, X., and Men, L. (2017). A BLE RSSI ranking based indoor positioning system for generic smartphones. In 2017 Wireless Telecom-munications Symposium (WTS), pages 1–8.
Morris, M. et al. (2018). Rich representations of visual content for screen reader users. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems,CHI ’18, page 1–11.
Nathan, S. et al. (2018). Usability evaluation of deaf mobile application interface: Asystematic review.Journal of Engineering and Applied Sciences, 13:291–297.
Ottaiano, J. et al. (2019).As Condições de Saúde Ocular no Brasil 2019. Conselho Brasileiro de Oftalmologia. (In Portuguese).
Priyantha, N. B., Chakraborty, A., and Balakrishnan, H. (2000). The cricket location-support system. InProceedings of the 6th Annual International Conference on MobileComputing and Networking, MobiCom ’00, page 32–43, New York, NY, USA. Association for Computing Machinery.
Ramadhan, A. J. (2018). Wearable smart system for visually impaired people.Sensors,18(3).
Sato, D., Oh, U., Naito, K., Takagi, H., Kitani, K., and Asakawa, C. (2017). Navcog3: An evaluation of a smartphone-based blind indoor navigation assistant with semantic features in a large-scale environment. InProceedings of the 19th International ACMSIGACCESS Conference on Computers and Accessibility, ASSETS ’17, page 270–279,New York, NY, USA. Association for Computing Machinery.
Singh, A. et al. (2018). Indoor navigation system using bluetooth low energy beacons. InProceedings of the Fourth International Conference on Computing Communication Control and Automation (ICCUBEA 2018), pages 1–5.
W3C (2018). Web content accessibility guidelines (wcag) 2.1. [Accessed: 2021-03-12].
W3C (2019). Wai-aria authoring practices 1.1. [Accessed: 2021-03-12].
Xiong, J. et al. (2015). ToneTrack: Leveraging frequency-agile radios for time-based in-door wireless localization. InProceedings of the 21st Annual International Conferenceon Mobile Computing and Networking, page 537–549.
Aitenbichler, E. and Muhlhauser, M. (2003). An ir local positioning system for smartitems and devices. In23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings., pages 334–339.
Coutinho, F. et al. (2011). An analysis of information conveyed through audio in an fps game and its impact on deaf players experience. InSBGames 2011, pages 53–62.
Gezici, S. et al. (2005). Localization via ultra-wideband radios: A look at positioningaspects for future sensor networks.IEEE Signal Processing Magazine, 22:70–84.
IBGE (2015).Pesquisa nacional de saúde: 2013: ciclos de vida: Brasil e grandes regiões.IBGE. (In Portuguese).
Jeon, K. E. et al. (2018). BLE Beacons for Internet of Things Applications: Survey,Challenges and Opportunities.IEEE Internet of Things Journal, 5(2):811–828.
Kotaru, M. et al. (2015). Spotfi: Decimeter level localization using wifi. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, page 269–282
Ma, Z., Poslad, S., Bigham, J., Zhang, X., and Men, L. (2017). A BLE RSSI ranking based indoor positioning system for generic smartphones. In 2017 Wireless Telecom-munications Symposium (WTS), pages 1–8.
Morris, M. et al. (2018). Rich representations of visual content for screen reader users. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems,CHI ’18, page 1–11.
Nathan, S. et al. (2018). Usability evaluation of deaf mobile application interface: Asystematic review.Journal of Engineering and Applied Sciences, 13:291–297.
Ottaiano, J. et al. (2019).As Condições de Saúde Ocular no Brasil 2019. Conselho Brasileiro de Oftalmologia. (In Portuguese).
Priyantha, N. B., Chakraborty, A., and Balakrishnan, H. (2000). The cricket location-support system. InProceedings of the 6th Annual International Conference on MobileComputing and Networking, MobiCom ’00, page 32–43, New York, NY, USA. Association for Computing Machinery.
Ramadhan, A. J. (2018). Wearable smart system for visually impaired people.Sensors,18(3).
Sato, D., Oh, U., Naito, K., Takagi, H., Kitani, K., and Asakawa, C. (2017). Navcog3: An evaluation of a smartphone-based blind indoor navigation assistant with semantic features in a large-scale environment. InProceedings of the 19th International ACMSIGACCESS Conference on Computers and Accessibility, ASSETS ’17, page 270–279,New York, NY, USA. Association for Computing Machinery.
Singh, A. et al. (2018). Indoor navigation system using bluetooth low energy beacons. InProceedings of the Fourth International Conference on Computing Communication Control and Automation (ICCUBEA 2018), pages 1–5.
W3C (2018). Web content accessibility guidelines (wcag) 2.1. [Accessed: 2021-03-12].
W3C (2019). Wai-aria authoring practices 1.1. [Accessed: 2021-03-12].
Xiong, J. et al. (2015). ToneTrack: Leveraging frequency-agile radios for time-based in-door wireless localization. InProceedings of the 21st Annual International Conferenceon Mobile Computing and Networking, page 537–549.
Publicado
18/07/2021
Como Citar
COUTINHO, Fábio J.; SALES, Dayvson; FONTES, Wagner; BARBOSA, Samuel Lucas V. L.; ACCETE, Victor; PIRES, John Davi D. C.; BRANDÃO, Rebeca de Jesus; CEZÁRIO, André Luiz de O..
TATU: an Approach for Supporting Tourists with Disabilities to Indoor and Outdoor Navigation using Mobile Devices. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 48. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 69-79.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2021.15808.
