Intelligent Information Systems (I2S)
Data Analytics, Lifelogging, Information Retrieval

Lifelogging - a new information management challenge

Welcome to the SSIS Easter seminar.

Professor Cathal Gurrin
Conor O'Donovan

Main content

Abstract: Technological progress over the last decade and the ready availability of low-cost sensors means that individuals can now capture detailed traces of their life experience, what is commonly referred to as lifelogs. Initially, driven by a desire for self-knowledge to enhance personal health and wellness, a range of novel life-experience sensors, such as wearable cameras, EEG sensors, can passively generate continuous archives of multimodal deep life experience data. Such data poses many challenges for researchers in terms of new approaches to data analytics for multimodal data streams, new retrieval models and new application domains for personal data. At the same time, the ethical challenges posed by such large volumes of personal data are only now being considered and explored.  In this work, we will introduce the concept of life logging, highlight the potential of deep user data (lifelogs), showcase our (and other’s) efforts to make progress in data analytics and information retrieval within the domain and finally we will raise the ethical issues and data governance challenges of gathering, analysing and actually using such deep user data. 

Place and Time: 14:15 - 15:15 April 15th 2019 at Seminar Room 1, Media City Bergen, Lars Hilles gate 30, 5008 Bergen

Speaker: Prof Cathal Gurrin is an associate professor and head-of-research at the School of Computing, Dublin City University. He is also a principal co-investigator at the Insight Centre for Data Analytics, Europe’s largest data analytics research centre. His research interests are personal analytics and lifelogging. Lifelogging integrates personal sensing, computer science, cognitive science and data-driven healthcare analytics to realize the next-generation of digital records for the individual. He is especially interested in how wearable sensors can be used to infer knowledge about the real-world activities of the individual and how lifelogs can be used to enhance the life experience of the individual. He regularly speaks at Quantified Self events and his research been featured internationally on Discovery Channel, BBC, NHK, as well as in the Economist magazine, New York Times, among many others.. He has been the General Chair of ECIR 2011, MMM 2014/2017 and will be the general co-chair of CBMI2019, ACM ICMR 2020 and MM 2022.