PARTITIONED FRAME NETWORKS FOR MULTILEVEL, MENU-BASED INTERACTION

被引:0
|
作者
ARTHUR, JD
机构
[1] Virginia Polytechnic, State University, Department of Computer Science, Blacksburg
来源
关键词
D O I
10.1016/S0020-7373(05)80106-3
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Menu-based systems have continued to flourish because they present a simple interaction format that is adaptable to many diverse applications. The continued integration of menu-based interaction with increasingly sophisticated software systems, however, is resulting in complex, monolithic frame networks with several undesirable characteristics. This paper presents a novel approach to frame network construction and menu-based interaction for application systems that support user task specifications. The approach is based on partitioning the conventional, monolithic frame network into a set of hierarchically structured, disjoint networks that preserves the original network topology while reducing its overall complexity and size. By exploiting partitioned frame networks, menu-based interaction can support multiple levels of task specification. Initially, a task overview can be constructed without the user being encumbered by refinement details that could obscure the overall solution specification. Guided by the overview, subsequent interaction leads to a detailed refinement of the intended task specification. © 1990 Academic Press Limited.
引用
收藏
页码:663 / 672
页数:10
相关论文
共 50 条
  • [31] Impact of calorie labelling on online takeaway food choices: An online Menu-Based Choice Experiment in England
    Tanasache, Oana-Adelina
    Law, Cherry
    Smith, Richard D.
    Cummins, Steven
    de Bekker-Grob, Esther W.
    Swait, Joffre
    Donkers, Bas
    Cornelsen, Laura
    APPETITE, 2025, 207
  • [32] Consumer Preferences for Traceable Food with Different Functions of Safety Information Attributes: Evidence from a Menu-Based Choice Experiment in China
    Hou, Bo
    Hou, Jing
    Wu, Linhai
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (01)
  • [33] A reversal of defaults: Implementing a menu-based default nudge to promote out-of-home consumer adoption of plant-based meat alternatives
    Taufik, Danny
    Bouwman, Emily P.
    Reinders, Machiel J.
    Dagevos, Hans
    APPETITE, 2022, 175
  • [34] Face antispoofing based on frame difference and multilevel representation
    Benlamoudi, Azeddine
    Aiadi, Kamal Eddine
    Ouafi, Abdelkrim
    Samai, Djamel
    Oussalah, Mourad
    JOURNAL OF ELECTRONIC IMAGING, 2017, 26 (04)
  • [35] Social network monitoring procedure based on partitioned networks
    Hong, Hwiju
    Lee, Joo Weon
    Lee, Jaeheon
    KOREAN JOURNAL OF APPLIED STATISTICS, 2022, 35 (02) : 299 - 310
  • [36] A Menu-based Nursing Intervention Using the Health Action Process Approach Model on the Stress Response and Postoperative Rehabilitation after Liver Cancer Surgery
    Zhang, Li
    Fei, Su-Ding
    Xu, Qin-Hong
    Ren, Xiao-Chao
    Cai, Hai-Na
    You, Li-Ying
    Xie, Hao-Fen
    Zheng, Si-Ming
    AMERICAN JOURNAL OF HEALTH BEHAVIOR, 2024, 48 (01): : 11 - 18
  • [37] Menu-Based Pricing for Electric Vehicle Charging in a Mobile Charging Service for Maximizing Charging Station's Profit and Social Welfare: A Stackelberg Game
    Qureshi, Ubaid
    Ghosh, Arnob
    Panigrahi, Bijaya Ketan
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2025, 61 (02) : 3447 - 3456
  • [38] Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python']Python Tutor (vol 29, pg 507, 2019)
    Fabic, Geela Venise Firmalo
    Mitrovic, Antonija
    Neshatian, Kourosh
    INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 2020, 30 (03) : 536 - 536
  • [39] Seismic infill?frame interaction of masonry walls partitioned with horizontal sliding joints: analysis and simplified modeling
    Preti, M.
    Bolis, V.
    Stavridis, A.
    JOURNAL OF EARTHQUAKE ENGINEERING, 2019, 23 (10) : 1651 - 1677
  • [40] Multilevel Feature Interaction Learning for Session-Based Recommendation via Graph Neural Networks
    He, Ming
    Han, Tianshuo
    Ding, Tianyu
    WEB ENGINEERING (ICWE 2022), 2022, 13362 : 31 - 46