{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T18:08:19Z","timestamp":1783534099922,"version":"3.55.0"},"reference-count":60,"publisher":"Association for Computing Machinery (ACM)","issue":"EICS","license":[{"start":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T00:00:00Z","timestamp":1718582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2024,6,17]]},"abstract":"<jats:p>Perusing web data items such as shopping products is a core online user activity. To prevent information overload, the content associated with data items is typically dispersed across multiple webpage sections over multiple web pages. However, such content distribution manifests an unintended side effect of significantly increasing the interaction burden for blind users, since navigating to-and-fro between different sections in different pages is tedious and cumbersome with their screen readers. While existing works have proposed methods for the context of a single webpage, solutions enabling usable access to content distributed across multiple webpages are few and far between. In this paper, we present InstaFetch, a browser extension that dynamically generates an alternative screen reader-friendly user interface in real-time, which blind users can leverage to almost instantly access different item-related information such as description, full specification, and user reviews, all in one place, without having to tediously navigate to different sections in different webpages. Moreover, InstaFetch also supports natural language queries about any item, a feature blind users can exploit to quickly obtain desired information, thereby avoiding manually trudging through reams of text. In a study with 14 blind users, we observed that the participants needed significantly lesser time to peruse data items with InstaFetch, than with a state-of-the-art solution.<\/jats:p>","DOI":"10.1145\/3664639","type":"journal-article","created":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T18:25:37Z","timestamp":1718648737000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["All in One Place: Ensuring Usable Access to Online Shopping Items for Blind Users"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8593-327X","authenticated-orcid":false,"given":"Yash","family":"Prakash","sequence":"first","affiliation":[{"name":"Old Dominion University, Department of Computer Science, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9992-9706","authenticated-orcid":false,"given":"Akshay Kolgar","family":"Nayak","sequence":"additional","affiliation":[{"name":"Old Dominion University, Department of Computer Science, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6970-0203","authenticated-orcid":false,"given":"Mohan","family":"Sunkara","sequence":"additional","affiliation":[{"name":"Old Dominion University, Department of Computer Science, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4879-7309","authenticated-orcid":false,"given":"Sampath","family":"Jayarathna","sequence":"additional","affiliation":[{"name":"Old Dominion University, Department of Computer Science, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2183-1722","authenticated-orcid":false,"given":"Hae-Na","family":"Lee","sequence":"additional","affiliation":[{"name":"Michigan State University, Department of Computer Science and Engineering, East Lansing, Michigan, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4772-1265","authenticated-orcid":false,"given":"Vikas","family":"Ashok","sequence":"additional","affiliation":[{"name":"Old Dominion University, Department of Computer Science, Norfolk, Virginia, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,6,17]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Waleed Abdulla. 2017. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. https:\/\/github.com\/matterport\/Mask_RCNN."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2380116.2380164"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51963-0_32"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-008-0270-y"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025171.3025229"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3377325.3377540"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/00222437211020274"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/11926078_8"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1805986.1806005"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1958.10501456"},{"key":"e_1_2_1_11_1","volume-title":"Sus: a \"quick and dirty'usability. Usability evaluation in industry 189, 3","author":"Brooke John","year":"1996","unstructured":"John Brooke. 1996. Sus: a \"quick and dirty'usability. Usability evaluation in industry 189, 3 (1996)."},{"key":"e_1_2_1_12_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901."},{"key":"e_1_2_1_13_1","unstructured":"Deng Cai Shipeng Yu Ji-Rong Wen and Wei-Ying Ma. 2003. Vips: a vision-based page segmentation algorithm. (2003)."},{"key":"e_1_2_1_14_1","volume-title":"Open domain question answering using web tables. arXiv preprint arXiv:2001.03272","author":"Chakrabarti Kaushik","year":"2020","unstructured":"Kaushik Chakrabarti, Zhimin Chen, Siamak Shakeri, and Guihong Cao. 2020. Open domain question answering using web tables. arXiv preprint arXiv:2001.03272 (2020)."},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290971"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411904"},{"key":"e_1_2_1_17_1","volume-title":"Product Question Answering in E-Commerce: A Survey. arXiv preprint arXiv:2302.08092","author":"Deng Yang","year":"2023","unstructured":"Yang Deng, Wenxuan Zhang, Qian Yu, and Wai Lam. 2023. Product Question Answering in E-Commerce: A Survey. arXiv preprint arXiv:2302.08092 (2023)."},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/276304.276328"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1062-0"},{"key":"e_1_2_1_20_1","volume-title":"InSupport: Proxy Interface for Enabling Efficient Non-Visual Interaction with Web Data Records. In 27th International Conference on Intelligent User Interfaces. 49--62","author":"Ferdous Javedul","year":"2022","unstructured":"Javedul Ferdous, Hae-Na Lee, Sampath Jayarathna, and Vikas Ashok. 2022. InSupport: Proxy Interface for Enabling Efficient Non-Visual Interaction with Web Data Records. In 27th International Conference on Intelligent User Interfaces. 49--62."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3432689"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290992"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-021-09975-3"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376728"},{"key":"e_1_2_1_26_1","volume-title":"AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings 12","author":"Gogar Tomas","year":"2016","unstructured":"Tomas Gogar, Ondrej Hubacek, and Jan Sedivy. 2016. Deep neural networks for web page information extraction. In Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 International Conference and Workshops, AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings 12. Springer, 154--163."},{"key":"e_1_2_1_27_1","volume-title":"Advances in psychology.","author":"Hart Sandra G","unstructured":"Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139--183."},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_2_1_30_1","volume-title":"The impact of online Q&As on product sales: The case of Amazon answer. Information Systems Research","author":"Warut","year":"2023","unstructured":"Warut Khern-am nuai, Hossein Ghasemkhani, Dandan Qiao, and Karthik Kannan. 2023. The impact of online Q&As on product sales: The case of Amazon answer. Information Systems Research (2023)."},{"key":"e_1_2_1_31_1","volume-title":"Kevin Chen-Chuan Chang, and Alexander Schwing","author":"Kumar Anurendra","year":"2021","unstructured":"Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, and Alexander Schwing. 2021. CoVA: context-aware visual attention for webpage information extraction. arXiv preprint arXiv.2110.12320 (2021)."},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646204"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447310709336964"},{"key":"e_1_2_1_34_1","volume-title":"Customizable Tabular Access to Web Data Records for Convenient Low-Vision Screen Magnifier Interaction. ACM Transactions on Accessible Computing (TACCESS)","author":"Lee Hae-Na","year":"2022","unstructured":"Hae-Na Lee and Vikas Ashok. 2022. Customizable Tabular Access to Web Data Records for Convenient Low-Vision Screen Magnifier Interaction. ACM Transactions on Accessible Computing (TACCESS) (2022)."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373625.3417030"},{"key":"e_1_2_1_36_1","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis Patrick","year":"2020","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen-tau Yih, Tim Rockt\u00e4schel, et al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems 33 (2020), 9459--9474.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_37_1","volume-title":"NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following.","author":"Li Dacheng","year":"2023","unstructured":"Dacheng Li, Rulin Shao, Anze Xie, Ying Sheng, Lianmin Zheng, Joseph Gonzalez, Ion Stoica, Xuezhe Ma, and Hao Zhang. 2023. How Long Can Context Length of Open-Source LLMs truly Promise?. In NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following."},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_2_1_39_1","volume-title":"Lost in the middle: How language models use long contexts. arXiv preprint arXiv.2307.03172","author":"Liu Nelson F","year":"2023","unstructured":"Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2023. Lost in the middle: How language models use long contexts. arXiv preprint arXiv.2307.03172 (2023)."},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08245-5_20"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025778"},{"key":"e_1_2_1_42_1","volume-title":"Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al.","author":"Neelakantan Arvind","year":"2022","unstructured":"Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al. 2022. Text and code embeddings by contrastive pre-training. arXiv preprint arXiv:2201.10005 (2022)."},{"key":"e_1_2_1_43_1","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318."},{"key":"e_1_2_1_44_1","unstructured":"Pinecone. 2023. LangChain Unleashed. https:\/\/www.pinecone.io\/learn\/chunking-strategies\/."},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584049"},{"key":"e_1_2_1_46_1","unstructured":"Jack W Rae Sebastian Borgeaud Trevor Cai Katie Millican Jordan Hoffmann Francis Song John Aslanides Sarah Henderson Roman Ring Susannah Young et al. 2021. Scaling language models: Methods analysis & insights from training gopher. arXiv preprint arXiv:2112.11446 (2021)."},{"key":"e_1_2_1_47_1","unstructured":"Johnny Salda\u00f1a. 2021. The coding manual for qualitative researchers. sage."},{"key":"e_1_2_1_48_1","volume-title":"ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. ACM Transactions on Software Engineering and Methodology","author":"Shi Weishi","year":"2023","unstructured":"Weishi Shi, Heather Moses, Qi Yu, Samuel Malachowsky, and Daniel E Krutz. 2023. ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. ACM Transactions on Software Engineering and Methodology (2023)."},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIC.2010.5705856"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2007.4376991"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30586-6_38"},{"key":"e_1_2_1_52_1","unstructured":"The GIMP Development Team. 1998. GNU Image Manipulation Program. https:\/\/www.gimp.org"},{"key":"e_1_2_1_53_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_2_1_54_1","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35 (2022), 24824--24837.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998364"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3121152"},{"key":"e_1_2_1_57_1","volume-title":"React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629","author":"Yao Shunyu","year":"2022","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022. React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629 (2022)."},{"key":"e_1_2_1_58_1","volume-title":"Proceedings of the 27th International Conference on Computational Linguistics. 2192--2203","author":"Yu Qian","year":"2018","unstructured":"Qian Yu, Wai Lam, and Zihao Wang. 2018. Responding e-commerce product questions via exploiting qa collections and reviews. In Proceedings of the 27th International Conference on Computational Linguistics. 2192--2203."},{"key":"e_1_2_1_59_1","unstructured":"Xujiang Zhao Jiaying Lu Chengyuan Deng Can Zheng Junxiang Wang Tanmoy Chowdhury Li Yun Hejie Cui Zhang Xuchao Tianjiao Zhao et al. 2023. Domain specialization as the key to make large language models disruptive: A comprehensive survey. arXiv preprint arXiv:2305.18703 (2023)."},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-019-00335-y"}],"container-title":["Proceedings of the ACM on Human-Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664639","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T23:21:08Z","timestamp":1755904868000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664639"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,17]]},"references-count":60,"journal-issue":{"issue":"EICS","published-print":{"date-parts":[[2024,6,17]]}},"alternative-id":["10.1145\/3664639"],"URL":"https:\/\/doi.org\/10.1145\/3664639","relation":{},"ISSN":["2573-0142"],"issn-type":[{"value":"2573-0142","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,17]]},"assertion":[{"value":"2024-02-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-01","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}