@article{Alibasa:2022:10.1109/taffc.2020.3029440,
author = {Alibasa, MJ and Purwanto, RW and Yacef, K and Glozier, N and Calvo, RA},
doi = {10.1109/taffc.2020.3029440},
journal = {IEEE Transactions on Affective Computing},
pages = {1140--1154},
title = {Doing and feeling: relationships between moods, productivity and task-switching},
url = {http://dx.doi.org/10.1109/taffc.2020.3029440},
volume = {13},
year = {2022}
}

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TY  - JOUR
AB  - Digital technology influences behaviours, moods and wellbeing. The relationships are complex, but users are increasingly interested in finding how to balance a digital life with psychological wellbeing. We present an approach for investigating the relationship between lifestyle aspects and digital technology usage patterns that combines MindGauge, a mobile app enabling users collect and analyse their moods and behaviours, with a productivity tool (RescueTime). We then report a 16-month study in which we collected computer and smartphone usage and self-reports from 72 participants. We present methods for analysing the relationship between productivity, task-switching, mood and lifestyle, and more specifically how digital technology usage associates with productivity and task-switching. Our study also investigates how lifestyle aspects (sleep quality, physical activity, workload, social interaction and alcoholic drink consumption) relate to mood, task-switching and productivity. Results show that more frequent task-switching is associated with negative moods. A few lifestyle aspects, such as sleep quality and physical activity, had a significant relationship with positive moods. We also contribute a mood detection model that utilise both digital footprints and lifestyle contexts, yielding an accuracy of 87%. The study provides evidence that such methods can be used to understand the impact of technology on wellbeing.
AU  - Alibasa,MJ
AU  - Purwanto,RW
AU  - Yacef,K
AU  - Glozier,N
AU  - Calvo,RA
DO  - 10.1109/taffc.2020.3029440
EP  - 1154
PY  - 2022///
SN  - 1949-3045
SP  - 1140
TI  - Doing and feeling: relationships between moods, productivity and task-switching
T2  - IEEE Transactions on Affective Computing
UR  - http://dx.doi.org/10.1109/taffc.2020.3029440
UR  - https://ieeexplore.ieee.org/document/9216577
UR  - http://hdl.handle.net/10044/1/83887
VL  - 13
ER  - 

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