Design and evaluation of a smartphone based wearable life-logging and social interaction system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper we outline the design, development and evaluation of asmartphone based life-logging and social interaction reminder system intendedfor use by persons with dementia. By using a smartphone, the wearer’s dailyactivities can be recorded in picture format, along with meta data providingactivity levels and location data. In addition to this data, social interactions canalso be logged and subsequently identified, using Quick Response (QR) codes.The intervention was evaluated on six healthy participants aged between 24 –46 years of age who wore the system for 2.5 hours. The qualitative feedbackreceived was that the technology was easy to use and was responsive andaccurate at identifying, recording and displaying social interaction data.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages435 -440
Number of pages6
DOIs
Publication statusPublished - 29 May 2014
EventComputer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on - New York
Duration: 29 May 2014 → …

Conference

ConferenceComputer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Period29/05/14 → …

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Smartphones
Metadata
Wear of materials

Cite this

@inproceedings{558836d1818a45dd8c7e5645206a3626,
title = "Design and evaluation of a smartphone based wearable life-logging and social interaction system",
abstract = "In this paper we outline the design, development and evaluation of asmartphone based life-logging and social interaction reminder system intendedfor use by persons with dementia. By using a smartphone, the wearer’s dailyactivities can be recorded in picture format, along with meta data providingactivity levels and location data. In addition to this data, social interactions canalso be logged and subsequently identified, using Quick Response (QR) codes.The intervention was evaluated on six healthy participants aged between 24 –46 years of age who wore the system for 2.5 hours. The qualitative feedbackreceived was that the technology was easy to use and was responsive andaccurate at identifying, recording and displaying social interaction data.",
author = "William Burns and Chris Nugent and Paul McCullagh and Huiru Zheng",
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doi = "10.1109/CBMS.2014.42",
language = "English",
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Burns, W, Nugent, C, McCullagh, P & Zheng, H 2014, Design and evaluation of a smartphone based wearable life-logging and social interaction system. in Unknown Host Publication. pp. 435 -440, Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on, 29/05/14. https://doi.org/10.1109/CBMS.2014.42

Design and evaluation of a smartphone based wearable life-logging and social interaction system. / Burns, William; Nugent, Chris; McCullagh, Paul; Zheng, Huiru.

Unknown Host Publication. 2014. p. 435 -440.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - In this paper we outline the design, development and evaluation of asmartphone based life-logging and social interaction reminder system intendedfor use by persons with dementia. By using a smartphone, the wearer’s dailyactivities can be recorded in picture format, along with meta data providingactivity levels and location data. In addition to this data, social interactions canalso be logged and subsequently identified, using Quick Response (QR) codes.The intervention was evaluated on six healthy participants aged between 24 –46 years of age who wore the system for 2.5 hours. The qualitative feedbackreceived was that the technology was easy to use and was responsive andaccurate at identifying, recording and displaying social interaction data.

AB - In this paper we outline the design, development and evaluation of asmartphone based life-logging and social interaction reminder system intendedfor use by persons with dementia. By using a smartphone, the wearer’s dailyactivities can be recorded in picture format, along with meta data providingactivity levels and location data. In addition to this data, social interactions canalso be logged and subsequently identified, using Quick Response (QR) codes.The intervention was evaluated on six healthy participants aged between 24 –46 years of age who wore the system for 2.5 hours. The qualitative feedbackreceived was that the technology was easy to use and was responsive andaccurate at identifying, recording and displaying social interaction data.

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