Niforatos, E., M. Langheinrich, and A. Bexheti. 2014. “My Good Old Kodak: Understanding the Impact of Having Only 24 Pictures to Take.” In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 1355–1360. UbiComp ’14 Adjunct. New York, NY, USA: ACM. http://doi.org/10.1145/2638728.2641715. http://uc.inf.usi.ch/node/329
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→
Our RECALL-hosted Workshop on Mobile Cognition at MobileHCI 2015 is shaping up. After our submission deadline in mid-June, we distributed the received manuscripts to a select set of reviewers and then proceeded to make a final selection. Here’s a small preview of the six papers to be presented at the workshop.
It has been more than a year since the project’s kick off in November 2013. On January 7, 2015, RECALL had it’s first-year project review meeting. The meeting took place at the University of Lancaster, where RECALL researchers from the all four sites gathered together to present our first-year results to the reviewers.
Most of the team members arrived in Lancaster already a day early, to spend all of January 6 preparing the meeting. Meeting preparations included a full dry run of the presentations and demos, as well as poster printing and handouts preparations. Continue reading RECALL first-year review meeting→
Atmos is a novel approach to weather estimation. It introduces the use of participatory sensing to collect in-situ weather data, both from sensors and human input. Atmos leverages a crowd-sourcing network of mobile devices to generate highly localized information about current and future weather conditions. Participatory sensing involves the utilization of mobile devices to form interactive, collaborative sensor networks that enable users to garner, analyze and share local knowledge. Under this guise, participatory sensing exhibits a unique level of spatio-temporal coverage in observing phenomena of interest in urban spaces. The key idea behind this new paradigm is the enabling of mobile users to collect and share sensed data about their natural settings in large scale, using their mobile devices. Continue reading Atmos: Crowd–sourcing Estimations about Current and Future Weather Conditions→
Last month we organized an internal 3-day event for gathering experience on how comprehensive imagery life-logging works, both from a technical point of view as well as from a participant’s point of view. From May 20-23 the Lancaster team rented a small hostel up in the Lake District, UK, for us, and lugged up plenty of food and technical equipment to keep us busy (and well fed) during the three days. The advantage of this rural setting was that we could rent the entire hostel for the team, hence minimizing the chances that other guests would be caught on one of our many cameras. Our only outside contact was a lady that brought us light luncheons each day, as well as the hostel owner who checked us in the first day. Each site brought different capturing devices, thus transforming the hostel into “RECALL House” — an instrumented environment (a very much simplified version of the MIT PlaceLab if you will) geared towards capturing imaging data from all participants during most of our waking hours. Continue reading The “RECALL House” Experiment→