Number of co-authors:13
Number of publications with 3 favourite co-authors:Alan F. Smeaton:4Cathal Gurrin:2Niamh Caprani:2
Aiden R. Doherty's 3 most productive colleagues in number of publications:Alan F. Smeaton:51Gareth J. F. Jones:32Djoerd Hiemstra:26
It's really hard to design products by focus groups. A lot of times, people don't know what they want until you show it to them.
-- Steve Jobs, 1998
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Aiden R. Doherty
Publications by Aiden R. Doherty (bibliography)
Doherty, Aiden R., Pauly-Takacs, Katalin, Caprani, Niamh, Gurrin, Cathal, Moulin, Chris J. A., O'Connor, Noel E. and Smeaton, Alan F. (2012): Experiences of Aiding Autobiographical Memory Using the SenseCam. In Eminds – International Journal of Human Computer Interaction, 27 (1) pp. 151-174.
Human memory is a dynamic system that makes accessible certain memories of events based on a hierarchy of information, arguably driven by personal significance. Not all events are remembered, but those that are tend to be more psychologically relevant. In contrast, lifelogging is the process of automatically recording aspects of one's life in digital form without loss of information. In this article we share our experiences in designing computer-based solutions to assist people review their visual lifelogs and address this contrast. The technical basis for our work is automatically segmenting visual lifelogs into events, allowing event similarity and event importance to be computed, ideas that are motivated by cognitive science considerations of how human memory works and can be assisted. Our work has been based on visual lifelogs gathered by dozens of people, some of them with collections spanning multiple years. In this review article we summarize a series of studies that have led to the development of a browser that is based on human memory systems and discuss the inherent tension in storing large amounts of data but making the most relevant material the most accessible.
© All rights reserved Doherty et al. and/or Universidad de Oviedo
Caprani, Niamh, Doherty, Aiden R., Lee, Hyowon, Smeaton, Alan F., O'Connor, Noel E. and Gurrin, Cathal (2010): Designing a touch-screen sensecam browser to support an aging population. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 4291-4296.
In this paper, we describe the HCI challenges associated with the novel domain of lifelogging for older users. The SenseCam is a passively capturing wearable camera, worn via a lanyard around the neck and used to create a personal lifelog or visual recording of the wearer's life, which generates information that may be very helpful as a human memory aid. Indeed, given that memory defects are more marked in the elderly, we believe that lifelogging browsing techniques which are considerate of the elderly are imperative. Thus, the challenge tackled in this work was to design and integrate the lifelogging activity supported by new technologies in such a way that can easily be learned and used by older people, enabling them to enhance and enrich their lives with the new technologies. This work provides design practitioners of future lifelogging interfaces early sight of the lessons we have learned in making lifelogging technologies accessible to elderly non-computing literate participants.
© All rights reserved Caprani et al. and/or their publisher
Aly, Robin, Doherty, Aiden R., Hiemstra, Djoerd and Smeaton, Alan F. (2010): Beyond Shot Retrieval: Searching for Broadcast News Items Using Language Models of Concepts. In: Gurrin, Cathal, He, Yulan, Kazai, Gabriella, Kruschwitz, Udo, Little, Suzanne, Roelleke, Thomas, Rüger, Stefan M. and Rijsbergen, Keith van (eds.) Advances in Information Retrieval - 32nd European Conference on IR Research - ECIR 2010 March 28-31, 2010, Milton Keynes, UK. pp. 241-252.
Byrne, Daragh, Doherty, Aiden R., Jones, Gareth J. F., Smeaton, Alan F., Kumpulainen, Sanna and Järvelin, Kalervo (2008): The SenseCam as a Tool for Task Observation. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 19-22.
The SenseCam is a passive capture wearable camera, worn around the neck and developed by Microsoft Research in the UK. When worn continuously it takes an average of 2,000 images per day. It was originally envisaged for use within the domain of Human Digital Memory to create a personal lifelog or visual recording of the wearer's life, which can be helpful as an aid to human memory. However, within this paper, we explore its applicability as a tool for use within observational and ethnographic studies. We employed the SenseCam as a tool for the collection of observational data in an empirical study, which sought to determine the information access practices of molecular medicine researchers. The affordances of the SenseCam making it appropriate for use within this domain, as well as its limitations, are discussed in the context of this study. We found that while the SenseCam, in its current form, will not offer a complete replacement of traditional observational methods, it offers a complimentary and supplementary route to the collection of observational data.
© All rights reserved Byrne et al. and/or their publisher
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