Home > Research > Publications & Outputs > Computing and mental health

Electronic data

  • PH2017_intentive_FinalCR

    Rights statement: © 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

    Accepted author manuscript, 584 KB, PDF-document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published
Publication date23/05/2017
Host publicationPervasiveHealth '17 Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Place of PublicationNew York
PublisherACM
Pages1-10
Number of pages10
ISBN (Print)9781450363631
<mark>Original language</mark>English
Event11th EAI International Conference on Pervasive Computing Technologies for Healthcare - Barcelona, Spain

Conference

Conference11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Abbreviated titlePervasive Healt
CountrySpain
CityBarcelona
Period23/05/1726/05/17
Internet address

Conference

Conference11th EAI International Conference on Pervasive Computing Technologies for Healthcare
Abbreviated titlePervasive Healt
CountrySpain
CityBarcelona
Period23/05/1726/05/17
Internet address

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

Bibliographic note

© 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