A Dual Haptic Interface Investigation for Improved Human-Computer Interaction
Abstract
This study involved designing haptic interfaces with the assistance of genetic algorithms. Five subjects were initially run in a pilot study and from these preliminary data, a model was developed to predict the response of all subjects to 65,536 possible experimental conditions. A multiobjective performance function was developed and the genetic algorithm methodology was utilized to search for the optimum experimental design conditions through a MATLAB/SIMULINK simulation. In a post hoc study, seven subjects were then evaluated with the optimum condition as well as alternative conditions over the range of the possible independent variables of interest. The subjects demonstrated that both their performance and situational awareness measures were significantly improved at the optimum design condition in the post hoc study as compared to the pilot study. The overall effort emphasized the concept of experimental design parsimony. What this means is that a few experimental conditions are initially run with a few subjects and that a computer model then generalizes the pilot data to predict the results in a more general setting. The post-hoc study then validates the initial assumptions and modeling incorporated in this effort.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2002
- Accession Number
- ADA412247
Entities
People
- D. W. Repperger
- Ling Rothrock
Organizations
- Air Force Research Laboratory