Providing affective information to family and friends based on social networks

Wendy Moncur

doi:10.1145/1240866.1240983

Providing affective information to family and friends based on social networks

Wendy Moncur

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

12 Citations (Scopus)

Abstract

We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information should be given to each individual; we believe this can be based on social networks of the parents. If successful, this technique could also be used in other contexts where a diverse set of family and friends would like information about a patient.

Original language	English
Title of host publication	CHI 2007 extended abstracts
Editors	Bo Begole, Stephen Payne, Elizabeth Churchill, Rob St. Amant, David Gilmore, Mary Beth Rosson
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	2219-2224
Number of pages	6
ISBN (Print)	9781595936424
DOIs	https://doi.org/10.1145/1240866.1240983
Publication status	Published - 2007
Event	CHI 2007 Conference on Human Factors in Computing Systems - San Jose, California, United States Duration: 28 Apr 2007 → 3 May 2007 http://www.chi2007.org/

Conference

Conference	CHI 2007 Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2007
Country/Territory	United States
City	San Jose, California
Period	28/04/07 → 3/05/07
Internet address	http://www.chi2007.org/

Keywords

Medical informatics
Natural language generation
Neonatal intensive care
Social networks
Tailored patient information
User model

Access to Document

10.1145/1240866.1240983

Cite this

@inbook{14b2e8d24cf94ed5bffc7669e809e7b1,

title = "Providing affective information to family and friends based on social networks",

abstract = "We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information should be given to each individual; we believe this can be based on social networks of the parents. If successful, this technique could also be used in other contexts where a diverse set of family and friends would like information about a patient.",

keywords = "Medical informatics, Natural language generation, Neonatal intensive care, Social networks, Tailored patient information, User model",

author = "Wendy Moncur",

year = "2007",

doi = "10.1145/1240866.1240983",

language = "English",

isbn = "9781595936424",

pages = "2219--2224",

editor = "Bo Begole and Stephen Payne and Elizabeth Churchill and {St. Amant}, Rob and David Gilmore and Rosson, {Mary Beth}",

booktitle = "CHI 2007 extended abstracts",

publisher = "Association for Computing Machinery",

note = "CHI 2007 Conference on Human Factors in Computing Systems, CHI 2007 ; Conference date: 28-04-2007 Through 03-05-2007",

url = "http://www.chi2007.org/",

}

Moncur, W 2007, Providing affective information to family and friends based on social networks. in B Begole, S Payne, E Churchill, R St. Amant, D Gilmore & MB Rosson (eds), CHI 2007 extended abstracts. Association for Computing Machinery, New York, pp. 2219-2224, CHI 2007 Conference on Human Factors in Computing Systems, San Jose, California, United States, 28/04/07. https://doi.org/10.1145/1240866.1240983

Providing affective information to family and friends based on social networks. / Moncur, Wendy.
CHI 2007 extended abstracts. ed. / Bo Begole; Stephen Payne; Elizabeth Churchill; Rob St. Amant; David Gilmore; Mary Beth Rosson. New York: Association for Computing Machinery, 2007. p. 2219-2224.

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

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T1 - Providing affective information to family and friends based on social networks

AU - Moncur, Wendy

PY - 2007

Y1 - 2007

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AB - We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information should be given to each individual; we believe this can be based on social networks of the parents. If successful, this technique could also be used in other contexts where a diverse set of family and friends would like information about a patient.

KW - Medical informatics

KW - Natural language generation

KW - Neonatal intensive care

KW - Social networks

KW - Tailored patient information

KW - User model

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DO - 10.1145/1240866.1240983

M3 - Other chapter contribution

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SN - 9781595936424

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EP - 2224

BT - CHI 2007 extended abstracts

A2 - Begole, Bo

A2 - Payne, Stephen

A2 - Churchill, Elizabeth

A2 - St. Amant, Rob

A2 - Gilmore, David

A2 - Rosson, Mary Beth

PB - Association for Computing Machinery

CY - New York

T2 - CHI 2007 Conference on Human Factors in Computing Systems

Y2 - 28 April 2007 through 3 May 2007

ER -

Providing affective information to family and friends based on social networks

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

A Model for the Provision of Adaptive eHealth Information Across the Personal Social Network

Cite this

Providing affective information to family and friends based on social networks

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

A Model for the Provision of Adaptive eHealth Information Across the Personal Social Network

Cite this