Research Output per year
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.
|Number of pages||7|
|Journal||IEEE Transactions on Information Technology in Biomedicine|
|Publication status||Published - Mar 2010|
- Human factors
- medical information systems
- personal communication networks
Situational ethics: re-thinking approaches to formal ethics requirements for Human-Computer InteractionMunteanu, C., Molyneaux, H., Moncur, W., Romero, M., O'Donnell, S. & Vines, J., Apr 2015, CHI 2015: proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, p. 105-114 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Supervisor: Reiter, E. (External person) (Supervisor) & Masthoff, J. (External person) (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy