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      Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study

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          Abstract

          Background

          Active travel such as walking and cycling has potential to increase physical activity levels in sedentary individuals. Motorised car travel is a sedentary behaviour that contributes to carbon emissions. There have been recent calls for technology that will improve our ability to measure these travel behaviours, and in particular evaluate modes and volumes of active versus sedentary travel. The purpose of this pilot study is to investigate the potential efficacy of a new electronic measurement device, a wearable digital camera called SenseCam, in travel research.

          Methods

          Participants (n = 20) were required to wear the SenseCam device for one full day of travel. The device automatically records approximately 3,600 time-stamped, first-person point-of-view images per day, without any action required by the wearer. Participants also completed a self-report travel diary over the same period for comparison, and were interviewed afterwards to assess user burden and experience.

          Results

          There were a total of 105 confirmed journeys in this pilot. The new SenseCam device recorded more journeys than the travel diary (99 vs. 94). Although the two measures demonstrated an acceptable correlation for journey duration (r = 0.92, p < 0.001) self-reported journey duration was over-reported (mean difference 154 s per journey; 95% CI = 89 to 218 s; 95% limits of agreement = 154 ± 598 s (-444 to 752 s)). The device also provided visual data that was used for directed interviews about sources of error.

          Conclusions

          Direct observation of travel behaviour from time-stamped images shows considerable potential in the field of travel research. Journey duration derived from direct observation of travel behaviour from time-stamped images appears to suggest over-reporting of self-reported journey duration.

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          Most cited references18

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          Statistical methods for assessing agreement between two methods of clinical measurement.

          In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using correlation coefficients. The use of correlation is misleading. An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
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            Memory and the self☆

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              Assessment of physical activity by self-report: status, limitations, and future directions.

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                Author and article information

                Journal
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central
                1479-5868
                2011
                20 May 2011
                : 8
                : 44
                Affiliations
                [1 ]British Heart Foundation Health Promotion Research Group, University of Oxford, UK
                [2 ]Sensors and Devices Group, Microsoft Research, Cambridge, UK
                [3 ]Health and Social Care Institute, Teesside University, UK
                Article
                1479-5868-8-44
                10.1186/1479-5868-8-44
                3118309
                21599935
                b344f60b-86ff-4e63-a1f3-832703df7ce7
                Copyright ©2011 Kelly et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 January 2011
                : 20 May 2011
                Categories
                Research

                Nutrition & Dietetics
                Nutrition & Dietetics

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