title: Modeling the socially intelligent communication of health information to a patient's personal social network.
abstract: This study examined how emotional proximity and gender affect people's information requirements when someone that they know is chronically or critically ill. In an online study, participants were asked what information they would want to receive about members of their social network in three categories: someone who was very close, someone who was not so close, and someone who was not close at all. Our results show that the information that people want can be predicted from their gender and emotional proximity to the network member. The closer the relationship with the patient, the more information people want. Women want more information than men. We propose a model for the socially intelligent communication of health information across the social network, and discuss areas for its application.
authors.affiliation: Department of Computer Science, University of Aberdeen, Aberdeen, AB24 3UE, UK. wmoncur@abdn.ac.uk
authors.forename: Wendy
authors.initials: W
authors.lastname: Moncur
authors.forename: Ehud
authors.initials: E
authors.lastname: Reiter
authors.forename: Judith
authors.initials: J
authors.lastname: Masthoff
authors.forename: Alex
authors.initials: A
authors.lastname: Carmichael
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D016638:Critical Illness / Q000523:psychology; D030881:Disclosure; D005190:Family / Q000523:psychology; D005260:Female; D006760:Hospitalization; D006801:Humans; D007398:Interpersonal Relations; D008297:Male; D008875:Middle Aged; D009769:Object Attachment; D012944:Social Support; D011795:Surveys and Questionnaires