Using graphics to assess wellbeing in a conversational user interface

Using graphics to assess wellbeing in a conversational user interface

Achilleos, Andreas (TU Delft Electrical Engineering, Mathematics and Computer Science)

van der Maden, W.L.A. (mentor)
Lomas, J.D. (mentor)
Gadiraju, Ujwal (mentor)
Allen, G.M. (mentor)
Erkin, Z. (graduation committee)

Delft University of Technology

Computer Science and Engineering

CSE3000 Research Project

2022-06-22

With the COVID-19 pandemic testing humanity worldwide in unforeseen ways, wellbeing assessment has stepped to the foreground of individual health status. Conversational User Interfaces (CUIs) prove promising as an assessment tool, but lacking the means to retain users engaged during the process. This research aims to explore a solution introducing a graphical modality to a CUI, that improves user experience during wellbeing assessment. A psychological projective testing technique was researched, the H-T-P test, which exposes one's personality, mood and feelings through drawing. A system was designed that utilizes a simplified version of the test and image classification to provide a new means of wellbeing assessment. The system's performance and usability show that such an approach is indeed feasible. This paper describes the design process of the system, the resulting prototype and possible improvements for future implementations.

Wellbeing
Drawing
Image Classification
Conversational User Interface

http://resolver.tudelft.nl/uuid:b52d55ee-8f80-4bcb-8eba-f243465b8a26

https://github.com/AndreasAch/graphical-wellbeing-assessment This repository contains all the source code for each of the classifiers used in this thesis. The labeled images that were used for training the classifiers are also included, along with the source code for the application acting as a user interface.

Student theses

bachelor thesis

© 2022 Andreas Achilleos