Personalizing triggers for charity actions

J. Masthoff, K. Van Deemter, S. Langrial

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

In this paper we investigate whether there is scope for personalizing triggers in the domain of charitable action. The first of our two studies focuses on actions promoting human rights (via Amnesty International). While participants in a previous exploratory study had indicated that victim attributes (such as gender, religion, and ethnicity) would not matter at all, we found when observing participants' actions that in fact these attributes mattered greatly. Participants tended to select victim attributes similar to their own, showing a clear potential for personalization. These findings were corroborated by a further study in the area of charitable giving (using the KIVA micro-financing website). The paper also discusses implications for digital behavior intervention.
Original languageEnglish
Title of host publicationPersuasive Technology
Subtitle of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsShlomo Berkovsky, Jill Freyne
PublisherSpringer
Pages125-136
Number of pages12
Volume7822 LNCS
ISBN (Electronic)978-3-642-37157-8
ISBN (Print)9783642371561
DOIs
Publication statusPublished - 13 Apr 2013
Event8th International Conference, PERSUASIVE 2013 - Sydney, Australia
Duration: 3 Apr 20135 Apr 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume7822
ISSN (Electronic)0302-9743

Conference

Conference8th International Conference, PERSUASIVE 2013
CountryAustralia
CitySydney
Period3/04/135/04/13

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  • Cite this

    Masthoff, J., Van Deemter, K., & Langrial, S. (2013). Personalizing triggers for charity actions. In S. Berkovsky, & J. Freyne (Eds.), Persuasive Technology: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7822 LNCS, pp. 125-136). (Lecture Notes in Computer Science; Vol. 7822). Springer . https://doi.org/10.1007/978-3-642-37157-8_16