ABSTRACT
This paper presents empirical methods and techniques for performing haptic system user behavior analysis, specifically of target users with visual impairments, in an effort to improve the development and design of future haptic interfaces . A haptic learning application was developed entitled the Molecular Properties Module (MPM) supporting the Novint Technologies ' Falcon haptic device (3 Degrees of Freedom) . A usability test was conducted at the Arkansas School for the Blind in Little Rock, AR with two independent variables : ( 1 ) five key tasks and (2) thirteen user interfaces, resulting in thirteen total scenarios. A Cursor Trajectory Management System (CTMS) was developed to accurately and empirically capture a user ' s cursor behavior throughout each scenario. Statistical analysis techniques are considered for analyzing haptic user behavior. Such techniques could aid in the development of future haptic interfaces, the development of haptic interface guidelines, and provide meaningful insight into the behavior of users with visual
impainnent. Likewise, relationships could be establi shcd between user behavior and haptic applications ' interface objects and interactions.
