Title :
Interactive evolution instead of default parameters
Author :
Daniel Ashlock;Cameron McGuinness;Joseph O´Neill
Author_Institution :
Department of Mathematics and Statistics at the University of Guelph in Guelph, Ontario, Canada, N1G 2W1
Abstract :
Tools for processing biological data often have many parameters, but most users simply use the default settings. Such software often has a large number of controls or user specified parameters. This means that there can be problems with teaching users to use even standard bioinformatic tools effectively. This study prototypes a technique called a show-me-more interface that uses human-in-the-loop evolution to permit an untutored user to operate a complex software tool that designs images of flowers. This task is intended to permit research on managing complex parameters for users that do not understand them without the added complexity of working with biological data. Users are given two specific and two nonspecific tasks and the results of their design efforts are displayed and discussed. The basic concept of show-me-more control has broad applications for permitting casual users to manipulate complex tools in a simple and transparent manner. Careful design can minimize the number of clicks needed for a user to reanalyze data, reducing the potential for user fatigue and attendant error.
Keywords :
"Color","Evolution (biology)","Fatigue","Shape","Design tools","Numerical models"
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on
DOI :
10.1109/CIBCB.2015.7300296