Method and System for Classifying User Experience and Skills Integrated with Real-Time Helping Interaction Analytics
Publication Date: 2018-Aug-10
The IP.com Prior Art Database
Method and System for Classifying User Experience and Skills Integrated with Real- Time Helping Interaction Analytics
A method and system is disclosed for cognitively evaluating and classifying user skills and user experiences, integrated with real-time helping interaction analytics, for personalizing services according to different user types.
Human-computer interaction (HCI), extensively used in software design, involves the monitoring of user-experience to analyze a user’s capability, knowledge and intention on a certain user interface. The existing art includes numerous analytical tools involved in analyzing user-experience such as, but not limited to, mixpanel, flurry and localytics. While these analytical tools analyze user-experiences, real time tracking of human-computer interactions at an application level to engage, track and analyze user activities to derive user experience and user skill is absent.
Therefore, there exists a need for a method and system that enables understanding of user skills and user experiences, by engaging in human interactions in a transparent and multimodal way.
Disclosed is a method and system for cognitively evaluating and classifying user skills and user experiences, integrated with real-time helping interaction analytics, for personalizing services according to different user types. The method and system enables user classification for a certain user interface, wherein the classification includes categories such as, but not limited to, beginner, novice, intermediate and expert.
In accordance with the method and system, typically a system includes a user interface/screen, a client agent and a server. Figure 1 is representative of a flow diagram representing the system components and interaction flow between the system components.
Referring to Figure 1, the user interface/screen is commonly representative of a web interface or a mobile screen including three tool tips. Furthermore, the curved double-arrow lines in Figure 1 are representative of switching operations among two tool tips, wherein some interactions may not trigger display of a tool tip.
The client agent as represented in Figure 1 includes a client profile hosting client parameters and user preference settings and a render engine for displaying a specific tooltip at an appropriate time and location. The client agent also includes a user interface (UI) monitor for collecting tooltip information and the associated interaction data and an interaction repository hosting data regarding usage of tooltips by a user. A controller module controls the start/shutdown of the render engine and the UI monitor.
The server component includes a server profile hosting server parameters and preference settings and pre-defined HCI rules, wherein the predefined HCI rules include parameters such as, but not limited to, start point and end point of assistant time, assistant types, levels, categories; human computing skill eva...