CISUC

Benefits of SenseCam Review on Neuropsychological Test Performance

Authors

Abstract

One of the core applications of Microsoft's SenseCam is memory rehabilitation. Research has shown that it is an effective memory aid that can cue episodic memories. However, the extent to which SenseCam might improve aspects of memory beyond merely re-presenting forgotten events and locations has not been assessed.
In line with neuroimaging and anecdotal reports, this study aimed to investigate the hypothesis that SenseCam review would enhance cognitive function more generally.
Participants were 15 healthy younger adults and 14 healthy older adults who wore a SenseCam for 3 days, and wrote a diary for another 3 days (control). In each of these conditions, participants completed a comprehensive neuropsychological battery immediately following review of the pictures or reading of the diary. Data for this study were collected from October to December 2011 and analyzed from January to March 2012.
Both young and older adults showed higher performance on most measures used in this study immediately following SenseCam review. Effects were largest for memory and executive function tasks, whereas speed of processing was not affected.
SenseCam review seems to act as a cognitive stimulant in the short term, with higher neuropsychological assessment scores following SenseCam review compared to re-reading a diary.

Journal

American journal of preventive medicine, Vol. 44, #3, pp. 302-307, March 2013

DOI


Cited by

Year 2017 : 2 citations

 Mair, Ali, Marie Poirier, and Martin A. Conway. "Supporting older and younger adults’ memory for recent everyday events: A prospective sampling study using SenseCam." Consciousness and Cognition 49 (2017): 190-202.

 Allé, Mélissa C., et al. "Wearable Cameras Are Useful Tools to Investigate and Remediate Autobiographical Memory Impairment: A Systematic PRISMA Review." Neuropsychology Review (2017): 1-19.

Year 2016 : 8 citations

 Le, Huy Viet, et al. "Impact of video summary viewing on episodic memory recall: Design guidelines for video summarizations." Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 2016.

 Wang, Peng, et al. "Characterizing everyday activities from visual lifelogs based on enhancing concept representation." Computer Vision and Image Understanding 148 (2016): 181-192.

 Dingler, Tilman, et al. "Reading-Based Screenshot Summaries for Supporting Awareness of Desktop Activities." Proceedings of the 7th Augmented Human International Conference 2016. ACM, 2016.

 Dubourg, Lydia, et al. "SenseCam: A new tool for memory rehabilitation?." Revue Neurologique 172.12 (2016): 735-747.

 Ali, Nazlena Mohamad. "User Perception towards the Use of Wearable Cameras." New Zealand Journal of Computer-Human Interaction 1.1 (2016).

 Drivet, Alessio. "Wearable Cameras." Wearable Technology and Mobile Innovations for Next-Generation Education. IGI Global, 2016. 95-121.

 Dhand, Amar, et al. "Accuracy of Wearable Cameras to Track Social Interactions in Stroke Survivors." Journal of Stroke and Cerebrovascular Diseases 25.12 (2016): 2907-2910.

 Bahrainian, Seyed Ali, and Fabio Crestani. "Cued Retrieval of Personal Memories of Social Interactions." Proceedings of the first Workshop on Lifelogging Tools and Applications. ACM, 2016.

Year 2015 : 4 citations

 Stopher, Peter R., et al. "The challenge of obtaining ground truth for GPS processing." Transportation Research Procedia 11 (2015): 206-217.

 Gauthier, Stephanie, and David Shipworth. "Behavioural responses to cold thermal discomfort." Building Research & Information 43.3 (2015): 355-370.

 Bolaños Solà, Marc. Ego-Object Discovery in Lifelogging Datasets. MS thesis. Universitat Politècnica de Catalunya, 2015.

 Lewandowicz, Marta, Roma Krzymi?ska-Siemaszko, and Katarzyna Wieczorowska-Tobis. "Przegl?d metod oceny sposobu ?ywienia z wyró?nieniem metody fotografowania ?ywno?ci z mo?liwo?ci? ich zastosowania u osób starszych A review of methods of dietary assessment with the distinction of food photography method with possibility of." Geriatria 9 (2015): 3-10.

Year 2014 : 5 citations

 Clinch, Sarah, Paul Metzger, and Nigel Davies. "Lifelogging for'observer'view memories: an infrastructure approach." Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 2014.

 Seamon, John G., et al. "SenseCam reminiscence and action recall in memory-unimpaired people." Memory 22.7 (2014): 861-866.

 Wang, Peng, Alan F. Smeaton, and Alessandra Mileo. "Semantically Enhancing Multimedia Lifelog Events." PCM. 2014.

 Gurrin, Cathal, Alan F. Smeaton, and Aiden R. Doherty. "Lifelogging: Personal big data." Foundations and Trends® in Information Retrieval 8.1 (2014): 1-125.

 Hu, Feiyan, Alan F. Smeaton, and Eamonn Newman. "Periodicity detection in lifelog data with missing and irregularly sampled data." Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on. IEEE, 2014.

Year 2013 : 5 citations

 Doherty, Aiden R., et al. "Wearable cameras in health." American journal of preventive medicine 44.3 (2013): 320-323.

 Gurrin, Cathal, et al. "The smartphone as a platform for wearable cameras in health research." American journal of preventive medicine 44.3 (2013): 308-313.

 Sheats, Jylana L., et al. "Comparison of passive versus active photo capture of built environment features by technology naïve Latinos using the SenseCam and Stanford healthy neighborhood discovery tool." Proceedings of the 4th International SenseCam & Pervasive Imaging Conference. ACM, 2013.

 Hurvitz, Philip M., and More Hall. "A SMARTPHONE-BASED SYSTEM FOR AUTOMATED DETECTION OF WALKING", FINAL PROJECT REPORT, 2013.

 Doherty, Aiden, et al. "Influencing health-related behaviour with wearable cameras: strategies & ethical considerations." Proceedings of the 4th international SenseCam & pervasive imaging conference. ACM, 2013.