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

Maria Angela Felicita Cristina Ferrario, Will A. Simm, Adrian Gradinar, Stephen Forshaw, Marcia Tavares Abreu Smith, Ian C. Smith, Jon Whittle, Thomas Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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
Original languageEnglish
Title of host publicationPervasiveHealth '17 Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
PublisherACM
Pages1-10
Number of pages10
ISBN (Print)9781450363631
DOIs
Publication statusPublished - 23 May 2017
Externally publishedYes

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