Providing adaptive health updates across the personal Social Network

Moncur, W; Masthoff, J; Reiter, E; Freer, Y; Nguyen, H

Providing adaptive health updates across the personal Social Network

Moncur, W

Masthoff, J

Reiter, E Freer, Y Nguyen, H

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Publication Type:: Journal Article
Citation:: Human-Computer Interaction, 2014, 29 (3), pp. 256 - 309
Issue Date:: 2014-05-04

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Field	Value	Language
dc.contributor.author	Moncur, W https://orcid.org/0000-0002-1485-4723	en_US
dc.contributor.author	Masthoff, J https://orcid.org/0000-0001-8099-0515	en_US
dc.contributor.author	Reiter, E	en_US
dc.contributor.author	Freer, Y	en_US
dc.contributor.author	Nguyen, H	en_US
dc.date.issued	2014-05-04	en_US
dc.identifier.citation	Human-Computer Interaction, 2014, 29 (3), pp. 256 - 309	en_US
dc.identifier.issn	0737-0024	en_US
dc.identifier.uri	http://hdl.handle.net/10453/117848
dc.description.abstract	This article presents research conducted to establish how information is shared across the personal social network in the sensitive context of a health crisis. We worked with parents of very sick babies who were cared for in a hospital's Neonatal Unit (NNU). Through a combination of interviews, a focus group, and surveys, we developed a user model of the information that parents wanted to share, and how they adapted this information to individual recipients. We then developed a prototype software tool which created adaptive updates for members of the parents' social network. The updates contained summaries of large volumes of complex medical data about the baby, nonmedical information about the parents, and practical information about the hospital. Updates were automatically adapted to individual members of parents' social networks, based on our user model. The tool was evaluated in a large NNU in the United Kingdom with parents of babies who were currently being cared for in the unit. We found that parents adapted the information that they shared about themselves and their babies based on the emotional proximity of their network members. They gave most detail to those who were emotionally closest to them and least to those who were less close. Parents also adapted information content to the recipient's tendency to worry and empathize. Two adaptive strategies were deployed by parents, (a) benign deceit - not telling the whole truth - and (b) promotion of empathetic members of the social network to a higher level of emotional proximity, so that they were given more information. We generated a number of directions for future work, and issues to consider around designing adaptive mediated communications systems for sensitive contexts. These include the potential to generalize our model to other medical contexts and considerations to apply when deliberately designing deceit into adaptive systems. © Copyright Taylor & Francis.	en_US
dc.relation.ispartof	Human-Computer Interaction	en_US
dc.relation.isbasedon	10.1080/07370024.2013.819218	en_US
dc.subject.classification	Human Factors	en_US
dc.title	Providing adaptive health updates across the personal Social Network	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	29	en_US
utslib.for	080602 Computer-Human Interaction	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	12 Built Environment and Design	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Design
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	29	en_US

Abstract:

This article presents research conducted to establish how information is shared across the personal social network in the sensitive context of a health crisis. We worked with parents of very sick babies who were cared for in a hospital's Neonatal Unit (NNU). Through a combination of interviews, a focus group, and surveys, we developed a user model of the information that parents wanted to share, and how they adapted this information to individual recipients. We then developed a prototype software tool which created adaptive updates for members of the parents' social network. The updates contained summaries of large volumes of complex medical data about the baby, nonmedical information about the parents, and practical information about the hospital. Updates were automatically adapted to individual members of parents' social networks, based on our user model. The tool was evaluated in a large NNU in the United Kingdom with parents of babies who were currently being cared for in the unit. We found that parents adapted the information that they shared about themselves and their babies based on the emotional proximity of their network members. They gave most detail to those who were emotionally closest to them and least to those who were less close. Parents also adapted information content to the recipient's tendency to worry and empathize. Two adaptive strategies were deployed by parents, (a) benign deceit - not telling the whole truth - and (b) promotion of empathetic members of the social network to a higher level of emotional proximity, so that they were given more information. We generated a number of directions for future work, and issues to consider around designing adaptive mediated communications systems for sensitive contexts. These include the potential to generalize our model to other medical contexts and considerations to apply when deliberately designing deceit into adaptive systems. © Copyright Taylor & Francis.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/117848