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Field Methods for Patient Ergonomics
Published in Richard J. Holden, Rupa S. Valdez, The Patient Factor, 2021
The Time-Use Diary used in this study is a part of the Harmonised European Time Use Surveys, developed by the European Statistical Office (Eurostat), a European Union organization that harmonizes methods used in member states and provides statistics regarding residents with the European Union. The Time-Use Diary (Eurostat, 2009) is a diary divided into 10-minute blocks over 24 hours, and participants can record a maximum of 2 activities conducted concurrently. The Time-Use Diary functions as a self-reported activity survey over one day, which we used to triangulate with activity data recorded by the body-worn camera.
Beyond economics and system needs
Published in Jacopo Torriti, Appraising the Economics of Smart Meters, 2020
The timing of social practices can be traced in various ways, including ethnographic studies, questionnaires and GPS methods with national time use surveys offering the most comprehensive information. Time use surveys collect data through time diaries covering 24 hours. Respondents are asked to fill in diaries for one or two randomly designated days, stating what activities were performed and where they were performed.
Empirical validation of the spatial-choice modelling approach to user simulation
Published in Architectural Science Review, 2019
Validating the spatial-choice models in real-life settings is challenging because, in a real-life physical environment, it is difficult to observe what space-option users take into account when making choices. Users perform a series of activities at different locations within a building during the course of a day, so when a user chooses a space for an activity, it is challenging to determine what other spaces were under consideration but not chosen in preference to the selected space. To overcome the difficulty in gathering revealed user spatial-choice data, this study employed the time-use survey technique. Time-use survey, widely used in social science, asks respondents about when and where they spend their time and what activities they are engaged in at each time-point during their day. It can be used on its own for assessing the lifestyles of different types of people (e.g. by ethnicity, gender, and the number of children), or it can be linked with other data-sets to shed light on more complex behavioural patterns across a variety of time-points, places, and activities. For example, Widén, Molin, and Ellegård (2012) connected the time-use and energy-use data to derive realistic energy-use patterns for households according to their time-use patterns. Similarly, Kim, Cha, and Kim (2018) connected the time-use data of university students and their satisfaction levels within building spaces to investigate how their space-rejection experience (i.e. occasions where users cannot use a space that they have initially chosen for a certain reason and so move to another space for engaging in their activity) affects their satisfaction with space-use. Note that when a space-rejection event occurs and it is recorded in a time-use survey, it is obvious that at least two space options have been assessed and compared, namely the ‘initially-chosen space’ and the ‘actually-used space’.