Facilitating benign deceit in mediated communication

Wendy Moncur; Judith Masthoff; Ehud Reiter

doi:10.1145/1520340.1520490

Facilitating benign deceit in mediated communication

Wendy Moncur, Judith Masthoff, Ehud Reiter

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

3 Citations (Scopus)

Abstract

This research explores how to communicate an individuals' self-reported emotional state to members of their personal social network, through automatic, computer-generated, personalised updates. Results of two qualitative studies are described where participants were unwilling to disclose their emotional state fully to all of their network members, choosing to deceive selected members instead. Further, participants indicated that they would want automatic personalised updates for network members to incorporate these deceits.

Original language	English
Title of host publication	CHI EA '09
Subtitle of host publication	CHI '09 extended abstracts on Human factors in computing systems
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	3383-3388
Number of pages	6
ISBN (Print)	9781605582474
DOIs	https://doi.org/10.1145/1520340.1520490
Publication status	Published - 2009

Keywords

Ambiguity
Computer-mediated social interaction
Deceit
Grounded theory
Personal social networks
Personalization

Access to Document

10.1145/1520340.1520490

Cite this

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AU - Reiter, Ehud

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KW - Computer-mediated social interaction

KW - Deceit

KW - Grounded theory

KW - Personal social networks

KW - Personalization

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U2 - 10.1145/1520340.1520490

DO - 10.1145/1520340.1520490

M3 - Other chapter contribution

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BT - CHI EA '09

PB - Association for Computing Machinery

CY - New York

ER -

Facilitating benign deceit in mediated communication

Abstract

Keywords

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

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Facilitating benign deceit in mediated communication

Abstract

Keywords

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Fingerprint

Student theses

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

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