In our previous work [1, 2, 3], we compared first-person-view lifelog images – e.g., images taken using Narrative Clip devices – with third-person-view lifelog images – e.g., images captured by fixed infrastructure cameras. First-person view images usually provide a very particular vantage point, and as such may miss many things: camera lenses may get covered by clothes or hair, or may simply face the wrong way due to the way they are “mounted” on the body (e.g., with a clip). Even if an unobstructed view can be had, a first-person-view may only show a very small part of the scene, e.g., potentially never showing a person that sits right next to us. Images from fixed infrastructure cameras can compensate for such shortage: their high vantage point usually allows them to captures comprehensive scenes, completely unobstructed. Alternatively, a first-person-view image from another person may equally offer an interesting alternative to my own capture. These considerations prompted us to investigate the best way to combine first-person-view and third-person-view images in RECALL to reconstruct a better representation of a previous experience. Continue reading Developer Diary: Enabling secure sharing of personal memories
In RECALL we aim to augment human memory in several ways; one of which being the strand of semantic memory. Therefore, we started looking into the design of knowledge acquisition points and – due to its prominence in learning and information consumption – reading.
With the advent of the information age and the creation of electronic reading devices – such as mobile phones, e-readers or tablets – our reading behavior has been changing and we are facing new challenges, one of which being information overload. We are bombarded with an abundance of text on a daily basis: news, emails, tweets, feeds, books, papers, articles, technical literature and pleasure readings. But our reading strategy has mainly remained the same. Continue reading Reading Studies: Increasing Reading Speed and Comprehension
In this post we want to discuss the application of a concept known as Déjà vu; making use of its effects we envision technologies that make new situations and encounters more familiar and less threatening.
Going to new places, interacting with new people and carrying out new tasks is part of everyday life. New situations create a sense of excitement but in many cases also anxiety based on a fear of the unknown.
In RECALL we started exploring the use of peripheral displays to automatically provide information about potential future experiences in order to allow people to learn incidentally and without conscious effort about new environments and people. The expectation is that having visual information provided, we can create a sense of déjà vu when people are in a new situation. We use the term déjà vu it a positive sense, following the definition of the Oxford dictionary: “feeling of having already experienced the present situation”. Continue reading Déjà vu – Technologies that make new Situations look Familiar