Modeling the socially intelligent communication of health information to a patient's personal social network. / Moncur, Wendy; Reiter, Ehud; Masthoff, Judith; Carmichael, Alex.
In: IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 2, 03.2010, p. 319-325.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Modeling the socially intelligent communication of health information to a patient's personal social network
A1 - Moncur,Wendy
A1 - Reiter,Ehud
A1 - Masthoff,Judith
A1 - Carmichael,Alex
AU - Moncur,Wendy
AU - Reiter,Ehud
AU - Masthoff,Judith
AU - Carmichael,Alex
PY - 2010/3
Y1 - 2010/3
N2 - <p>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.</p>
AB - <p>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.</p>
KW - Human factors
KW - medical information systems
KW - modeling
KW - personal communication networks
KW - SUPPORT
KW - SIZE
KW - CARE
KW - STRESS
KW - LIFE
U2 - 10.1109/TITB.2009.2035361
DO - 10.1109/TITB.2009.2035361
M1 - Article
JO - IEEE Transactions on Information Technology in Biomedicine
JF - IEEE Transactions on Information Technology in Biomedicine
SN - 1089-7771
IS - 2
VL - 14
SP - 319
EP - 325
ER -