Analyzing User Behavior within a Haptic System
Identifieur interne : 003218 ( Main/Exploration ); précédent : 003217; suivant : 003219Analyzing User Behavior within a Haptic System
Auteurs : Steve Johnson [États-Unis] ; Yueqing Li [États-Unis] ; Soo Nam [États-Unis] ; Takehiko Yamaguchi [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Haptic technology has the potential to enhance education, especially for those with severe visual impairments (those that are blind or who have low vision), by presenting abstract concepts through the sense of touch. Despite the advances in haptic research, little research has been conducted in the area of haptic user behavior toward the establishment of haptic interface development and design conventions. To advance haptic research closer to this goal, this study examines haptic user behavior data collected from 9 participants utilizing a haptic learning system, the Heat Temperature Module. ANOVA results showed that differences in the amount of haptic feedback result in significant differences in user behavior, indicating that higher levels of haptic friction feedback result in higher user interaction proportions of data. Results also suggested that minimal thresholds of friction haptic feedback can be established for a desired level of minimum user interaction data proportions, however; more research is needed to establish such thresholds.
Url:
DOI: 10.1007/978-3-642-21605-3_7
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: Haptic technology has the potential to enhance education, especially for those with severe visual impairments (those that are blind or who have low vision), by presenting abstract concepts through the sense of touch. Despite the advances in haptic research, little research has been conducted in the area of haptic user behavior toward the establishment of haptic interface development and design conventions. To advance haptic research closer to this goal, this study examines haptic user behavior data collected from 9 participants utilizing a haptic learning system, the Heat Temperature Module. ANOVA results showed that differences in the amount of haptic feedback result in significant differences in user behavior, indicating that higher levels of haptic friction feedback result in higher user interaction proportions of data. Results also suggested that minimal thresholds of friction haptic feedback can be established for a desired level of minimum user interaction data proportions, however; more research is needed to establish such thresholds.</div>
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