Computing and mental health : intentionality and reflection at the click of a button

Ferrario, Maria Angela Felicita Cristina and Simm, William Alexander and Gradinar, Adrian Ioan and Smith, Ian Craig and Forshaw, Stephen and Smith, Marcia Tavares and Whittle, Jonathan Nicholas David (2017) Computing and mental health : intentionality and reflection at the click of a button. In: PervasiveHealth '17 Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare :. ACM, ESP, pp. 1-10. ISBN 9781450363631

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Abstract

Automated passive sensing applications and self-reported smart diaries seem to hold promise for the management of anxiety in autism and other mental health conditions. However, passive sensing often struggles with noisy data, ambiguous feedback and weak user agency over the device, whilst self-reporting relies on user-entered data which can be time consuming and cognitively demanding. To address these limitations, we explore a different approach, whereby individuals consciously actuate personal data capture and are in control of it at all times; yet, the interaction solely involves clicking a button, thus avoiding cognitive overload whilst supporting immediate reflection. We call this approach intentive computing. Through our initial investigations we found that conscious interactions cannot only provide real-time relief in anxiety management, but can also function as memory anchors irrespective of the content captured and even prior to data visualization

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in PervasiveHealth '17 Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare http://dx.doi.org/10.1145/3154862.3154877
Subjects:
?? human agencyhuman data interactionparticipatory design autismanxietymental health ??
ID Code:
85967
Deposited By:
Deposited On:
21 Apr 2017 12:24
Refereed?:
Yes
Published?:
Published
Last Modified:
08 Feb 2024 02:45