What Visual Targets Are Viewed by Users With a Handheld Mobile Magnifier App

被引:7
|
作者
Luo, Gang [1 ]
机构
[1] Harvard Med Sch, Schepens Eye Res Inst, Massachusetts Eye & Ear, Dept Ophthalmol, Boston, MA 02115 USA
来源
关键词
smartphone; low vision; visual demands;
D O I
10.1167/tvst.10.3.16
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose: Mobile video magnifier apps are used by many visually impaired people for seeing details that are beyond their visual capacity. Understanding the common types of visual targets will be importantly informative for low-vision research and assistive technology development. This study addressed this question through analysis of images captured by magnifier app users pursuing their daily activities. Methods: An iOS magnifier app, free to the public, was used to capture and upload images to the Azure Computer Vision cloud service for object recognition. Returned object tag results for each image were uploaded to the Umeng analytics server for aggregated tallies. Consolidated data from 24,295 users across 1 month were analyzed. More than 1300 types of object tags found in 152,819 images were grouped into 11 categories. The data collection and analyses were conducted separately for users who toggled on or off iOS vision-accessibility features. Results: For accessibility and nonaccessibility user groups, 60% to 70% of objects were nontextual, such as an indoor scene, human, or art. More than 40% of the images contained more than one object category. Accessibility users viewed textual objects more frequently than nonaccessibility users (41.1% vs. 29.8%), but overall, the probability ranking of categories was not significantly different between the two groups. Conclusions: Nontextual objects make up a major portion of visual needs of magnifier users across a wide range of vision loss. Translational Relevance: Low-vision research and vision assistance technology development should address the need for nontextual object viewing.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] What Drives Users' Removal Behavior of Mobile Apps
    Tai, Wei-Chun
    Duong, Nam Tien
    Wei, Chung-Lun
    Wang, Yu-Min
    Yang, Jih-Hua
    Chen, Ko-Ling
    Wang, Yi-Shun
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2024,
  • [42] Visual Communication Design of Mobile App Interface Based on Digital
    Wang, Shenghua
    INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT, 2024, 17 (01)
  • [43] Pocket Code - A Mobile Visual Programming Framework for App Development
    Mueller, Matthias
    Schindler, Christian
    Slany, Wolgang
    2019 IEEE/ACM 6TH INTERNATIONAL CONFERENCE ON MOBILE SOFTWARE ENGINEERING AND SYSTEMS (MOBILESOFT 2019), 2019, : 140 - 143
  • [44] Using mobile keypads with limited visual feedback: Implications to handheld and wearable devices
    Silfverberg, M
    HUMAN-COMPUTER INTERACTION WITH MOBILE DEVICES AND SERVICES, 2003, 2795 : 76 - 90
  • [45] Deep Learning Techniques for Visual Food Recognition on a Mobile App
    De Bonis, Michele
    Amato, Giuseppe
    Falchi, Fabrizio
    Gennaro, Claudio
    Manghi, Paolo
    MULTIMEDIA AND NETWORK INFORMATION SYSTEMS, 2019, 833 : 303 - 312
  • [46] Modular Design of Mobile APP Interface Based on the Visual Flow
    Wei Yanli
    Qian Chaoyang
    Li Jun
    AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2019, 53 (01) : 56 - 62
  • [47] A mobile app for developing visual literacy on in-service teachers
    Huilcapi-Collantes, Catalina
    Hernandez Martin, Azucena
    Pablo Hernandez, Juan
    TEEM'19: SEVENTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY, 2019, : 642 - 647
  • [48] Modular Design of Mobile APP Interface Based on the Visual Flow
    Qian Wei Yanli
    Li Chaoyang
    Automatic Control and Computer Sciences, 2019, 53 : 56 - 62
  • [49] "What if it's wrong?" Ovulation and fertility understanding of menstrual app users
    Hohmann-Marriott, Bryndl
    Starling, Laura
    SSM-QUALITATIVE RESEARCH IN HEALTH, 2022, 2
  • [50] What will it take to meet UNAIDS targets for preexposure prophylaxis users?
    Sullivan, Patrick Sean
    Siegler, Aaron Julius
    CURRENT OPINION IN INFECTIOUS DISEASES, 2022, 35 (01) : 1 - 8