This aim of this research project is to study the social and behavioural implications of wearable technologies such as digital glasses, watches, headbands and armbands.
Katina Michael, Keith Miller (2013). "Big data: new opportunities and new challenges", IEEE Computer, June, 46(6). Special issue.
Katina Michael, MG Michael (2013). " The social and behavioural implications of location-based services", Journal of Location-Based Services, December, 5(3-4). Special issue.
Both a qualitative and quantitative strategy will be employed in this project. The study will employ a socio-technical framework that addresses the bi-directional flows between society and technology.
Ethics approval for this project will be sought from the University of Wollongong, although mirrored applications will be submitted by researchers on the project, and translated into languages applicable to specific jurisdictions.
Participant observers will be asked to wear the technology (digital glass) for a period of 30 days and will be asked to share the digital chronicles they keep with researchers listed on the project.
Quantitative data logs will contain information such as: time-of-day data, location coordinates, speed and distance travelled, direction travelled, temperature, # of satellite fixes, other physiological characteristics that are measurable.
Each participant will be encouraged to keep a daily qualitative data log. The daily diary will be recorded in free form text by the participant.
Audio-visual records maintained in the form of pictures, audio clips, and visual evidence will be archived using a secure storage facility.
Spatio-temporal analysis techniques will be used to analyse the quantitative data collected by the data logging devices (i.e. onboard sensors). Big data and predictive analytics techniques will also be employed to ascertain the level of predictability of human activity monitoring.
Qualitative and quantitative content analysis will be used to analyse the daily diaries of participants.
Advanced visual analytical techniques will be applied to the corpus of photography and video collected, including summary playbacks, motion detection and qualitative video content analysis.