Guidelines for the presentation and visualisation of lifelog content

Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideally suited to providing access, overview, and navigation. We explore through examples of our visualisation work within the domain of lifelogging the major axes on which lifelogs operate, and therefore, on which their visualisations should be contingent. We also explore the concept of ‘events’ as a way to significantly reduce the complexity of the lifelog for presentation and make it more human-oriented. Finally we present some guidelines and goals which should be considered when designing presentation modes for lifelog content

[1]  Jim Gemmell,et al.  Telling Stories with Mylifebits , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[2]  Alex Pentland,et al.  Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.

[3]  Jakob Nielsen,et al.  Designing Web Usability: The Practice of Simplicity , 1999 .

[4]  Noel E. O'Connor,et al.  Mo Músaem Fíorúil: A Web-Based Search and Information Service for Museum Visitors , 2008, ICIAR.

[5]  Steve Hodges,et al.  Neuropsychological Rehabilitation , 2013 .

[6]  E. Tulving.  Elements of episodic memory , 1983 .

[7]  Alan F. Smeaton,et al.  Using bluetooth and GPS metadata to measure event similarity in SenseCam Images , 2007 .

[8]  Mika Raento,et al.  ContextPhone: a prototyping platform for context-aware mobile applications , 2005, IEEE Pervasive Computing.

[9]  Gordon Bell,et al.  Passive capture and ensuing issues for a personal lifetime store , 2004, CARPE'04.

[10]  Alan F. Smeaton,et al.  Multimodal Segmentation of Lifelog Data , 2007, RIAO.

[11]  Jakob Nielsen,et al.  Designing web usability , 1999 .

[12]  A Min Tjoa,et al.  Exploiting SenseCam for Helping the Blind in Business Negotiations , 2006, ICCHP.

[13]  A.F. Smeaton,et al.  Combining Face Detection and Novelty to Identify Important Events in a Visual Lifelog , 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

[14]  Jane Greenberg,et al.  Augmenting memory for student learning: Designing a context-aware capture system for biology education , 2006, ASIST.

[15]  Christopher Collins.  DocuBurst : Document Content Visualization Using Language Structure , 2006 .

[16]  Noel E. O'Connor,et al.  Adaptive visual summary of lifeLog photos forpersonal information management , 2006 .

[17]  Jason P. Mitchell,et al.  The seven sins of memory: implications for self. , 2003, Annals of the New York Academy of Sciences.

[18]  Geraldine Fitzpatrick,et al.  Supporting collaborative reflection with passive image capture , 2006 .

[19]  Vannevar Bush,et al.  As we may think , 1945, INTR.

[20]  Shingo Uchihashi,et al.  An interactive comic book presentation for exploring video , 2000, CHI.

[21]  Jason P. Mitchell,et al.  The Seven Sins of Memory , 2003, Annals of the New York Academy of Sciences.

[22]  T. Nicolai,et al.  Wireless Rope : Experiment in Social Proximity Sensing with Bluetooth , 2005 .

[23]  Holger Kenn,et al.  Exploring Social Context with the Wireless Rope , 2006, OTM Workshops.

[24]  Martin Wattenberg,et al.  Arc diagrams: visualizing structure in strings , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..

[25]  Kristiina Karvonen,et al.  The beauty of simplicity , 2000, CUU '00.

[26]  Alan F. Smeaton,et al.  Bluetooth familiarity: methods of calculation, applications and limitations , 2007 .

[27]  Shahram Izadi,et al.  SenseCam: A Retrospective Memory Aid , 2006, UbiComp.

[28]  Alan F. Smeaton,et al.  Visualising Bluetooth interactions: combining the Arc diagram and DocuBurst techniques , 2007, BCS HCI.