QuickReview: A Novel Data-Driven Mobile User Interface for Reporting Problematic App Features

被引：6
|
作者：
Su'a, Tavita [1 ]
Licorish, Sherlock A. [1 ]
Savarimuthu, Bastin Tony Roy [1 ]
Langlotz, Tobias [1 ]
机构：
[1] Univ Otago, Dept Informat Sci, Dunedin, New Zealand
来源：
IUI'17: PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES | 2017年
关键词：
User Interface; App Reviews; Android; Mobile Devices; Data Driven; Intelligent User Interfaces;
D O I：
10.1145/3025171.3025178
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
User-reviews of mobile applications provide information that benefits other users and developers. Even though reviews contain feedback about an app's performance and problematic features, users and app developers need to spend considerable effort reading and analyzing the feedback provided. In this work, we introduce and evaluate QuickReview, an intelligent user interface for reporting problematic app features. Preliminary user evaluations show that QuickReview facilitates users to add reviews swiftly with ease, and also helps developers with quick interpretation of submitted reviews by presenting a ranked list of commonly reported features.
引用
收藏
页码：517 / 522
页数：6
相关论文
共 50 条
  • [41] A Sentiment-Statistical Approach for Identifying Problematic Mobile App Updates Based on User Reviews
    Li, Xiaozhou
    Zhang, Boyang
    Zhang, Zheying
    Stefanidis, Kostas
    INFORMATION, 2020, 11 (03)
  • [42] A Novel Framework of Data-Driven Networking
    Yao, Haipeng
    Qiu, Chao
    Fang, Chao
    Chen, Xu
    Yu, F. Richard
    IEEE ACCESS, 2016, 4 : 9066 - 9072
  • [43] Data-driven framework with graphical user interface for predicting flexural behavior of FRCM strengthened RC beams
    Kumar, Aman
    Arora, Harish Chandra
    Nehdi, Moncef L.
    STRUCTURES, 2025, 71
  • [44] Enhancing Medical Education with Data-Driven Software: The TrainCoMorb App
    Zikos, Dimitrios
    Ragina, Neli
    Strong, Oliver
    IMPORTANCE OF HEALTH INFORMATICS IN PUBLIC HEALTH DURING A PANDEMIC, 2020, 272 : 83 - 86
  • [45] Quality assessment of answers with user-identified criteria and data-driven features in social Q&A
    Fu, Hengyi
    Oh, Sanghee
    INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (01) : 14 - 28
  • [46] Can App Reviews Help Developers to Improve Mobile User Interface Design?
    Le, Wenge
    Wang, Yong
    Gao, Cuiyun
    Wei, Liangfen
    Yang, Fei
    JOURNAL OF INTERNET TECHNOLOGY, 2023, 24 (04): : 955 - 964
  • [47] Smart user experience medical app interface design based on mobile devices
    Zhang, Qi
    Liu, Yishu
    EXPERT SYSTEMS, 2022, 39 (05)
  • [48] Data-driven Brain Computer Interface in Real Environments
    Ishii, Shin
    3RD INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE, 2015, : 25 - 26
  • [49] InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics
    Mathisen, A.
    Horak, T.
    Klokmose, C. N.
    Grdnbaek, K.
    Elmqvist, N.
    COMPUTER GRAPHICS FORUM, 2019, 38 (03) : 649 - 661
  • [50] Personalized product design and user review and experience analysis: A data-driven hybrid novel approach
    Lan, Shulin
    Jiang, Yinfei
    Guo, Tao
    Li, Shaochun
    Yang, Chen
    Cheng, T. C. Edwin
    Sethanan, Kanchana
    Tseng, Ming-Lang
    COMPUTERS & INDUSTRIAL ENGINEERING, 2025, 202
12345