Prototypes

In this work, we have designed and developed CogniKit, an extensible tool for human cognitive modeling. It is based on the analysis, classification and visualization of eye tracking data such as gaze points, fixation count and duration, saccades, gaze transition and stationary entropy, heat maps, areas of interests, etc. These are further processed, analyzed and classified for detecting higher level human cognitive factors such as cognitive processing styles and abilities. CogniKit comprises of two main components: i) a software application that collects and processes low- and high-level eye gaze data metrics in real-time; and ii) an extensible interactive workbench for storing, analyzing, classifying and visualizing the collected eye gaze data.

Relevant paper: ACM IUI 2020

Mixed reality technologies embrace hand gesture-based interaction modalities, which can be leveraged by picture passwords, as they require users to draw secret gestures on a background image. In this work, we have designed and developed HoloPass, a novel mixed reality application that utilizes the Microsoft HoloLens device that allows users to directly interact with picture-based holograms in order to perform user authentication tasks. The current prototype was developed in Unity 3D, using C# and Microsoft's Mixed Reality Toolkit for HoloLens, and follows implementation guidelines of Microsoft Windows 10 Picture Gesture Authentication in which users draw three secret gestures on a background image that acts as a cue.

Relevant papers: ACM CHI 2019, INTERACT 2019

This work aims at scaffolding end-users in improving the security of graphical passwords through a playful interaction design in mixed reality. For doing so, we elaborated on a playful interaction de-sign framework and developed, based on it, an experimental mixed reality (MR) application that deployed multi-modal and playful user interaction experiences. A user evaluation woth 30 participants revealed that introducing playful characteristics in the design of MR graphical passwords had a catalyst effect on the security of user generated passwords and simultaneously affected significantly end-users' perceptions and understanding related to security semantics of graphical passwords.