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Designing Product Descriptions for Supporting Independent Grocery Shopping of People with Visual Impairments

Published: 08 May 2021 Publication History

Abstract

It is difficult for people with visual impairments to have balanced nutrition, and one of the reasons is because it is challenging for them to shop for grocery items. In this study, we focused on designing descriptions on grocery items to people with visual impairments to help them with making purchase decisions independently. To identify types of information to be provided, we first conducted an online survey with 73 participants with visual impairments. Then we conducted an in-depth phone interview with eight participants to understand how to better design descriptions for different grocery items. Based on the findings, we provide implications for a camera-based wearable grocery shopping assistance system, which is currently in the prototype stage. This system will help taking the next step in providing effective assistance for people with visual impairments when shopping for groceries.

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References

[1]
Jeffrey P Bigham, Chandrika Jayant, Andrew Miller, Brandyn White, and Tom Yeh. 2010. VizWiz:: LocateIt-enabling blind people to locate objects in their environment. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. IEEE, 65–72.
[2]
Marie Claire Bilyk, Jessica M Sontrop, Gwen E Chapman, Susan I Barr, and Linda Mamer. 2009. Food experiences and eating patterns of visually impaired and blind people. Canadian Journal of Dietetic practice and research 70, 1 (2009), 13–18.
[3]
Roger Boldu, Alexandru Dancu, Denys JC Matthies, Thisum Buddhika, Shamane Siriwardhana, and Suranga Nanayakkara. 2018. FingerReader2. 0: Designing and Evaluating a Wearable Finger-Worn Camera to Assist People with Visual Impairments while Shopping. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1–19.
[4]
Erin Brady, Meredith Ringel Morris, Yu Zhong, Samuel White, and Jeffrey P Bigham. 2013. Visual challenges in the everyday lives of blind people. In Proceedings of the SIGCHI conference on human factors in computing systems. 2117–2126.
[5]
Stefany Cárdenas-Pérez, Jorge Chanona-Pérez, Juan V Méndez-Méndez, Georgina Calderón-Domínguez, Rubén López-Santiago, María J Perea-Flores, and Israel Arzate-Vázquez. 2017. Evaluation of the ripening stages of apple (Golden Delicious) by means of computer vision system. biosystems engineering 159 (2017), 46–58.
[6]
Vladimir Kulyukin, John Nicholson, and Daniel Coster. 2008. Shoptalk: Toward independent shopping by people with visual impairments. In Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility. 241–242.
[7]
Vladimir Kulyukin, Tanwir Zaman, Abhishek Andhavarapu, and Aliasgar Kutiyanawala. 2012. Eyesight sharing in blind grocery shopping: remote P2P caregiving through cloud computing. In International Conference on Computers for Handicapped Persons. Springer, 75–82.
[8]
Patrick E Lanigan, Aaron M Paulos, Andrew W Williams, Dan Rossi, and Priya Narasimhan. 2006. Trinetra: Assistive Technologies for Grocery Shopping for the Blind. In ISWC. 147–148.
[9]
Richard M Leach, Ailsa Brotherton, Michael Stroud, and Richard Thompson. 2013. Nutrition and fluid balance must be taken seriously. Bmj 346(2013), f801.
[10]
Jihyun Lee, Jinsol Kim, and Hyunggu Jung. 2020. Challenges and Design Opportunities for Easy, Economical, and Accessible Offline Shoppers with Visual Impairments. In Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures. 69–72.
[11]
Diego López-de Ipiña, Tania Lorido, and Unai López. 2011. Blindshopping: enabling accessible shopping for visually impaired people through mobile technologies. In International Conference on Smart Homes and Health Telematics. Springer, 266–270.
[12]
Diego López-de Ipiña, Tania Lorido, and Unai López. 2011. Indoor navigation and product recognition for blind people assisted shopping. In International Workshop on Ambient Assisted Living. Springer, 33–40.
[13]
Luiz Fernando Santos Pereira, Sylvio Barbon Jr, Nektarios A Valous, and Douglas Fernandes Barbin. 2018. Predicting the ripening of papaya fruit with digital imaging and random forests. Computers and Electronics in Agriculture 145 (2018), 76–82.
[14]
Daisuke Sato, Uran Oh, Kakuya Naito, Hironobu Takagi, Kris Kitani, and Chieko Asakawa. 2017. Navcog3: An evaluation of a smartphone-based blind indoor navigation assistant with semantic features in a large-scale environment. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility. 270–279.
[15]
Sarit Szpiro, Yuhang Zhao, and Shiri Azenkot. 2016. Finding a store, searching for a product: a study of daily challenges of low vision people. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 61–72.
[16]
Z Vági, Kitti Deé, Zsuzsanna Lelovics, and É Lakatos. 2012. Nutritional status of blind and visually impaired patients. Zeitschrift für Gastroenterologie 50, 05 (2012), A82.
[17]
Yuhang Zhao, Sarit Szpiro, Jonathan Knighten, and Shiri Azenkot. 2016. CueSee: exploring visual cues for people with low vision to facilitate a visual search task. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 73–84.

Cited By

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  • (2024)Enhancing the Interior Design Process with Crowdsourced Furnishing Pairing RecommendationsArchives of Design Research10.15187/adr.2024.05.37.2.7937:2(79-101)Online publication date: 31-May-2024
  • (2023)"I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual ImpairmentsProceedings of the ACM on Human-Computer Interaction10.1145/35794967:CSCW1(1-28)Online publication date: 16-Apr-2023

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cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 08 May 2021

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Author Tags

  1. Offline grocery shopping assistance
  2. accessibility
  3. interview
  4. online survey
  5. visual impairments

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  • IITP

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2024)Enhancing the Interior Design Process with Crowdsourced Furnishing Pairing RecommendationsArchives of Design Research10.15187/adr.2024.05.37.2.7937:2(79-101)Online publication date: 31-May-2024
  • (2023)"I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual ImpairmentsProceedings of the ACM on Human-Computer Interaction10.1145/35794967:CSCW1(1-28)Online publication date: 16-Apr-2023

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