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Evaluating the Lifelog: a Serious Game for Reminiscence

Burns, William, McCullagh, P. J., Nugent, Chris and Zheng, Huiru (2017) Evaluating the Lifelog: a Serious Game for Reminiscence. In: Immersive Learning 2017, Coimbra, Coimbra, Portugal. TU Graz online. 12 pp. [Conference contribution]

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DOI: 10.3217/978-3-85125-530-0-43


Body worn cameras record lifelogs as a sequence of images and one therapeutic use is to promote reminiscence in older people. We investigate if the emotional response of the viewer can be used to identify images of interest and whether this can become a serious game for shared interaction with a family member or carer. To evaluate whether this is technically feasible we report on a small evaluation of five healthy participants (Male=3, Female=2) aged between 24-46 years of age. Participants reviewed lifelog images six months after the initial data collection. Galvanic skin response readings were recorded and matched to the image stimuli. By monitoring such responses it is possible to organise the lifelog into events, potentially highlighting activities of daily living and social interaction for subsequent reminiscence. Initial results indicate emotional responses can be quantified and detected but no clear classification of emotional trends emerged. We suggest improvements in methodology to make the approach viable and discuss the need for data reduction. As wearable technology improves, the approach can add to the quantified-self paradigm, allowing wider application to learning and training.

Item Type:Conference contribution (Speech)
Keywords:Reminiscence Serious Game Galvanic Skin Response Personalisation Pervasive Computing
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:38368
Deposited By: Dr Paul McCullagh
Deposited On:25 Jul 2017 14:25
Last Modified:17 Oct 2017 16:30

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