Bibliography | Wahju, Philipp: Context-sensitive memory augmentation using recorded everyday life data. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Diploma Thesis No. 3661 (2014). 94 pages, english.
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CR-Schema | H.5.2 (Information Interfaces and Presentation User Interfaces) H.4 (Information Systems Applications)
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Abstract | The recent rise of life-logging technologies and wearable computing gadgets allows the recording of data from our daily lives. Experiences make people what they are. The omnipresent tracking devices and their sensors experience the same things as their owners, thus creating e-memories and surrogate brains. Such life-logs or e-memories contain everything we can sense or our environment senses, like images, heart rates or locations. With this increase of digital personal data we explore challenges and solutions how to use this vast amount of data with the goal to support human memory. To do this, we used a user-centered approach. In the first step we conducted a series of focus groups and an online survey with the goal of understanding the requirements of life-logging tools. The results of the requirement analysis led to the development of a holistic concept of a digital life assistant. Our initial prototype leverages life-log data in form of a smart alarm clock, which provides an automatic morning briefing about the past and the upcoming day via audio and bedside projection. The prototype was finally evaluated in the field in a small-scale pilot study with the focus on the different presentation modes.
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Full text and other links | PDF (31593882 Bytes)
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Department(s) | University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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Superviser(s) | Dingler, Tilman; Henze, Niels; Sahami, Alireza |
Entry date | June 12, 2014 |
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