Responsive, adaptive and user personalized rendering on mobile browsers

被引:0
|
作者
Sunkara, Sowmya [1 ]
Tetali, Ravitheja [1 ]
Bose, Joy [1 ]
机构
[1] Samsung R&D Inst, WMG Grp, Bangalore, Karnataka, India
关键词
responsive design; user experience; vision assistance; web browser; Webkit; learning and feedback; face detection; cloud service; accessibility;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Web browsers in mobile devices typically render a given web page without taking into account the difference in the visual-input requirements for different users and scenarios. It is desirable to have the browsers adapt to the individual users' visual requirements. In this paper we propose a browser that makes dynamic adjustments to the way the web content is rendered based on the context of usage. The adjustments include font size, color, contrast and web page layout. The system makes these adjustments constantly by monitoring the user's usage patterns and interactions with the mobile device, and calculating and applying the changes via a feedback mechanism. We mention the method for making corrections to font size, color and contrast, and implement a system to automatically make font size adjustments using an OpenCV library for head tracking and making the required corrections on a web page. Once the parameters for a user have been calibrated and stored, the user can access the feature on multiple devices by transmitting the relevant data via a cloud service.
引用
收藏
页码:259 / 265
页数:7
相关论文
共 50 条
  • [1] Rendering on Browsers Responsive to User Head Position and Environmental Conditions
    Sunkara, Sowmya
    Tetali, Ravitheja
    Bose, Joy
    2014 Annual IEEE India Conference (INDICON), 2014,
  • [2] Adaptive User Interface for a Personalized Mobile Banking App
    Nawaz, Mohammad
    Motiwalla, Luvai
    Deokar, Amit, V
    UMAP'18: ADJUNCT PUBLICATION OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2018, : 141 - 142
  • [3] Personalized and Adaptive User Interface Framework For Mobile Application
    Nivethika, Mahasivam
    Vithiya, Ilanthalaisingam
    Anntharshika, Sebastiankularatnam
    Deegalla, Sampath
    2013 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2013, : 1913 - 1918
  • [4] Secure Personalized Recommendation System for Mobile User
    Maw, Soe Yu
    INFORMATION SECURITY AND CRYPTOLOGY - ICISC 2010, 2011, 6829 : 266 - 277
  • [5] Fluid User Models for Personalized Mobile Apps
    Loeb, Shoshana
    2013 IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE (CCNC), 2013, : 705 - 708
  • [6] Personalized user engagement modeling for mobile videos
    Yang, Lin
    Yuan, Mingxuan
    Chen, Yanjiao
    Wang, Wei
    Zhang, Qian
    Zeng, Jia
    COMPUTER NETWORKS, 2017, 126 : 256 - 267
  • [7] Personalized adaptive navigation for mobile portals
    Smyth, B
    Cotter, P
    ECAI 2002: 15TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2002, 77 : 608 - 612
  • [8] War of the Mobile Browsers
    Hernandez, Edwin A.
    IEEE PERVASIVE COMPUTING, 2009, 8 (01) : 82 - 85
  • [9] Adaptive User Perspective Rendering for Handheld Augmented Reality
    Mohr, Peter
    Tatzgern, Markus
    Grubert, Jens
    Schmalstieg, Dieter
    Kalkofen, Denis
    2017 IEEE SYMPOSIUM ON 3D USER INTERFACES (3DUI), 2017, : 176 - 181
  • [10] Dynamically Adaptive User Profiling for Personalized Recommendations
    Zeb, Muhammad Ali
    Fasli, Maria
    2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2012), VOL 1, 2012, : 604 - 611