International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

This study suggests a framework that analyzes individual preferences towards interactive systems by modeling users’ evaluations of the cognitive costs and the benefits of using the systems. A graphical cost-benefit approach, which was originally applied in the area of system analysis and design to help decision-makers select computer systems for organizations, is applied in the area of human-computer interactions (HCI) to predict users’ preferences of alternative application designs. We tie the HCI design methodology of personas to the cost-benefit model. Currently, we mainly propose the applicability of the original model into the field of HCI, and suggest a series of studies that will show that a user’s preference can be predicted using the model. Initial results from a study on a backpack purchasing website already supports the relevance of the original model in HCI and indeed encourages further research to examine the model’s applicability.

The system described in this article has been developed within the consortium of project FANCI (Face and body Analysis Natural Computer Interaction) project. One of the main scope of the project is to give a better support to the driver’s capabilities using some of the most advanced technologies in the field of intelligent user sensing methods, including eye tracking, face analysis, emotion recognition, intention & authentication, voice tone analysis, hand gesture recognition and head gesture & pose analysis. All these technologies will be integrated in a unique platform which is always-on, real time, low consumption and low cost. The information collected by this platform will be used as input of smart user intention or distraction estimation and system reaction methods, supplying visual (HUD, etc.), voice and haptic feedback as well as autonomous system actions.