A Task-based Framework for the Quantitative Evaluation of Input Devices

performance prediction;execution graphs;inter-task;inter-task transition times;evaluation of input devices;input devices;evaluation;GUI;graphical user interface;testing devices

Dulberg, Martin S. ; Eric N. Wiebe, Committee Member,David F. McAllister, Committee Co-Chair,James C. Lester, Committee Member,Robert St. Amant, Committee Co-Chair,Dulberg, Martin S. ; Eric N. Wiebe ; Committee Member ; David F. McAllister ; Committee Co-Chair ; James C. Lester ; Committee Member ; Robert St. Amant ; Committee Co-Chair

University:North Carolina State University

关键词: performance prediction;    execution graphs;    inter-task;    inter-task transition times;    evaluation of input devices;    input devices;    evaluation;    GUI;    graphical user interface;    testing devices;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/4543/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

This research describes the development of a conceptual framework and methodology that will permit the evaluation of input devices in graphical user interfaces in a more meaningful context than previous studies.We provide a procedure for the reuse of performance characteristics in expanded domains.Individual performance differences are analyzed and their implications for current evaluation methods are discussed.We have built an interactive simulation for domain-independent testing of the suitability of different input devices for specific tasks, based on the demand characteristics of the task and the performance characteristics of the device.The simulation will allow researchers and practitioners to evaluate the suitability of particular input devices in a given user interface with a severely restricted role for usability testing.Using the system, it will be possible to select a device based upon optimal task completion time or estimated error rate.The role of inter-task transition times is explored.A methodology for prediction of performance with the use of execution graphs is described.