Rights statement: © {Owner/Author ACM}, 2016. 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 CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858259
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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Anxiety and autism
T2 - towards personalized digital health
AU - Simm, William Alexander
AU - Ferrario, Maria Angela Felicita Cristina
AU - Gradinar, Adrian Ioan
AU - Forshaw, Stephen
AU - Smith, Marcia
AU - Smith, Ian Craig
AU - Whittle, Jonathan Nicholas David
N1 - © {Owner/Author ACM}, 2016. 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 CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2858036.2858259
PY - 2016/5/7
Y1 - 2016/5/7
N2 - For many people living with conditions such as autism, anxiety manifests so powerfully it has a big impact on quality of life. By investigating the suitability of truly customizable wearable health devices we build on prior research that found each experience of anxiety in people with autism is unique, so 'one-suits all' solutions are not suitable. In addition, users desire agency and control in all aspects of the system. The participative approach we take is to iteratively co-develop prototypes with end users. Here we describe a case study of the co-development of one prototype, a digital stretch wristband that records interaction for later reflection called Snap. Snap has been designed to sit within a platform that allows the distributed and sustainable design, manufacture and data analysis of customizable digital health technologies. We contribute to HCI with (1) lessons learned from a DIY co-development process that follows the principles of modularity, participation and iteration and (2) the potential impact of technology in self-management of anxiety and the broader design implications of addressing unique anxiety experiences.
AB - For many people living with conditions such as autism, anxiety manifests so powerfully it has a big impact on quality of life. By investigating the suitability of truly customizable wearable health devices we build on prior research that found each experience of anxiety in people with autism is unique, so 'one-suits all' solutions are not suitable. In addition, users desire agency and control in all aspects of the system. The participative approach we take is to iteratively co-develop prototypes with end users. Here we describe a case study of the co-development of one prototype, a digital stretch wristband that records interaction for later reflection called Snap. Snap has been designed to sit within a platform that allows the distributed and sustainable design, manufacture and data analysis of customizable digital health technologies. We contribute to HCI with (1) lessons learned from a DIY co-development process that follows the principles of modularity, participation and iteration and (2) the potential impact of technology in self-management of anxiety and the broader design implications of addressing unique anxiety experiences.
KW - Anxiety
KW - IOT
KW - HCI
KW - Participatory Design
KW - agile methods
KW - Digital Health
U2 - 10.1145/2858036.2858259
DO - 10.1145/2858036.2858259
M3 - Conference contribution/Paper
SN - 9781450333627
SP - 1270
EP - 1281
BT - CHI '16 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
PB - ACM
CY - New York
ER -