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25877 ESTHER 1.3: integrating in-situ prompts to trigger self-reflection of physical activity in knowledge workers.
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Jimenez Garcia, J.C. and Romero, N. and Keyson, D. and Havinga, P.J.M. (2013) ESTHER 1.3: integrating in-situ prompts to trigger self-reflection of physical activity in knowledge workers. In: Chilean Conference on Human-Computer Interaction, ChileCHI 2013, 11-15 Nov 2013, Temuco, Chili. pp. 1-4. ACM. ISBN 978-1-4503-2200-3

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Official URL: http://dx.doi.org/10.1145/2535597.2535609

Abstract

There are little initiatives supporting knowledge workers in
implementing physical activity as part of their work routines. Due to the sedentary nature of their work, knowledge workers have little opportunities to engage in physical activities during the working hours. In addition, physical activity is not a priority in their busy agenda, which results in knowledge workers been unaware of their physical behavior at work. Behavioral models are considering both self-reflection and self-awareness processes as key elements for an individual to take action over desirable behaviors. Considering self-reflection as the mean to achieve selfawareness, the design of persuasive technologies for physical activity is challenged to go beyond supporting data collection and visualization of physical behavior to actively support the process of self-reflection. This paper introduces ESTHER 1.3 as an approach to facilitate active mini cycles of self-reflection on physical activity by means of in-situ self-reporting mechanisms. ESTHER 1.3 will be tested in the field to explore how the implementation of these mechanisms assists the planning of physical activity targets during work time and how the performance of these targets differ compared to when the application only provides physical activity information. With the ultimate goal to integrate physical activity into a person’s daily work routines, the design of ESTHER 1.3 based on Personal Informatics (PI) by encouraging deeper reflection on collected data to perform better-informed actions.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:COMMIT/SWELL: User Centric Reasoning for Well-working
ID Code:25877
Status:Published
Deposited On:17 March 2015
Refereed:Yes
International:Yes
More Information:statistics

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