Pbkp_redicting task execution time on Natural User Interfaces based on touchless hand gestures

Abstract:

Model-based evaluation has been widely used in HCI. However, current pbkp_redictive models are insufficient to evaluate Natural User Interfaces based on touchless hand gestures. The purpose of this paper is to present a model based on KLM to pbkp_redict performance time for doing tasks using this interface type. The required model operators were defined considering the temporal structure of hand gestures (i.e. using gesture units) and performing a systematic bibliographic review. The times for these operators were estimated by a user study consisting of various parts. Finally, the model empirical evaluation gave acceptable results (root-mean-square error = 10%, R2 = 0.936) when compared to similar models developed for other interaction styles. Thus, the proposed model should be helpful to software designers to carry out usability assessments by pbkp_redicting performance time without user participation.

Año de publicación:

2015

Keywords:

• Touchless gestures
• Pbkp_redictive model
• Natural User Interfaces
• Mid-air gestures

Fuente:

scopus