Towards persuasive sociometric technologies for inclusive educational settings

Olga Lyra, Evangelos Karapanos, Rúben Gouveia, Mary Barreto, Valentina Nisi, Nuno J. Nunes, John Zimmerman, Jodi Forlizzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

With an increasing interest in the social inclusion of children in schools, HCI researchers have proposed technologies that support children at risk of social exclusion in their interactions with peers. However, much of this work has focused on the child at risk of social exclusion, disregarding the fact that social exclusion is a group-phenomenon that often originates in children's negative stereotyping. In this paper we argue for persuasive sociometric technologies, ones that sense children's social interactions in real-time, and provide persuasive, just-in-time recommendations to children with the goal of challenging their perceptions of diversity and motivating pro-social behaviors. We report on two studies that aimed at inquiring into children's practices of social exclusion in school communities as well as whether and how persuasive technologies can stimulate pro-social behaviors and a sense of empathy among them.

Original languageEnglish
Title of host publicationProceedings of the 10th ACM SIGCHI Italy Chapter Biannual, CHItaly 2013
PublisherAssociation for Computing Machinery (ACM)
ISBN (Print)9781450320610
DOIs
Publication statusPublished - 1 Sep 2013
Externally publishedYes
Event10th ACM SIGCHI Italy Chapter Biannual Conference, CHItaly 2013 - Trento, Italy
Duration: 16 Sep 201320 Sep 2013
Conference number: 10

Conference

Conference10th ACM SIGCHI Italy Chapter Biannual Conference, CHItaly 2013
Abbreviated titleCHItaly 2013
CountryItaly
CityTrento
Period16/09/1320/09/13

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Keywords

  • Persuasive sociometric technologies
  • Social inclusion

Cite this

Lyra, O., Karapanos, E., Gouveia, R., Barreto, M., Nisi, V., Nunes, N. J., ... Forlizzi, J. (2013). Towards persuasive sociometric technologies for inclusive educational settings. In Proceedings of the 10th ACM SIGCHI Italy Chapter Biannual, CHItaly 2013 [10] Association for Computing Machinery (ACM). https://doi.org/10.1145/2499149.2499163