
Photo courtesy of paulworthington
Congratulations to Dr. David H. Nguyen who just defended his Ph.D. thesis:
Title: Perceptions and Attitudes Towards Tracking and Recording Technologies in Everyday Life
Abstract: Technologies and tools for electronic tracking and recording personal data have become easier to use, less expensive, and more pervasive in recent years. These tracking and recording technologies (TRTs) often work implicitly, in the background, without explicit effort nor full understanding on the part of the users (or those being tracked and recorded). Little is understood about how individuals make decisions about adoption or rejection of such implicit TRTs. A significant challenge then is to understand the processes by which the general public perceives and responds to these technologies, balanced along with their concerns for information privacy. Using multiple methods – interviews, the day reconstruction method, and paratyping, in concurrence with the deployment of a validated survey instrument for the concern of information privacy (CFIP) – this dissertation shows that participants are simultaneously highly concerned about information privacy and not always concerned about the specific technologies they use everyday that can track and record their personal data. There are three primary contributions in this dissertation. One, I catalog in situ perceptions and attitudes towards the concern for information privacy and TRTs. Two, by showing that traditional models of information privacy, such as CFIP, can be helpful but not sufficient to analyze the perceptions and attitudes towards TRTs, I identify the issues associated with applying the CFIP model to analyze TRTs. And three, I provide recommendations for the expansion of the CFIP model for use on TRTs.
Committee:
- Dr. Gillian Hayes (chair)
- Dr. Richard Beckwith
- Dr. Paul Dourish
- Dr. Don Patterson
Great Job David!










Project Ladybag - June 9th, 2006
Project Ladybag has a built-in LED display that reacts to the user’s behavior in two ways. In this image the bag is shown reflecting the user’s emotional state through the display of emoticons. Emotional state is determined through explicit interactions with the bag that are registered through physical sensors.
The second mode of behavior is through an RFID reader in the bag. In this mode, the bag displays cues on the exterior of the bag when expected items (tagged with an RFID) are missing. Forget your keys, then your handbag will know.
Does this design make sense? What do you think?
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