A Survey on Representation of Biofeedback Data in Stress Management

PhD Qualifying Examination

Title: "A Survey on Representation of Biofeedback Data in Stress Management"


Mr. Zhida SUN


Stress-related health issues have an influence not only on an individual's 
general condition and quality of life, but also on social cohesion and 
stability. With the availability of wearable sensors and the diversity of 
quantitative tracking methods applied to the personal sphere, people are able 
to obtain self-knowledge about their stress levels through psychological 
records (e.g., heart rate, skin conductance, etc.) related to one's internal 
state. However, from the interpretation and manipulation point of view, the 
user experience during diagnosis and/or treatment in helping people reduce 
their stress levels as well as providing practical and nonjudgmental feedback 
vary through different types of media. Thus, how to design and represent a 
digital experience that supports stress management has become an active 
research area in the Human-Computer Interaction (HCI) field.

This survey aims to investigate the design modalities of biofeedback data 
representation for stress management. It starts with an introduction to the 
survey's background, and preliminaries to the psychological terms and 
representation categories scoped in this survey. After that, we review the 
related applications/systems along the proposed taxonomy based on design 
modalities, i.e., Visualization, Physicalization, and Sonification, and discuss 
them along the design dimensions of Encoding and Interaction. The survey ends 
with a discussion on future research directions within the data representation 

Date:			Friday, 26 January 2018

Time:                  	10:00am - 12:00noon

Venue:                  Room 5501
                         Lifts 25/26

Committee Members:	Dr. Xiaojuan Ma (Supervisor)
 			Prof. Andrew Horner (Chairperson)
 			Prof. Huamin Qu
 			Prof. Chiew-Lan Tai

**** ALL are Welcome ****