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Τίτλος: Towards persuasive sociometric technologies for inclusive educational settings
Συγγραφείς: Lyra, Olga 
Karapanos, Evangelos 
Gouveia, Rúben 
Barreto, Mary L. 
Nisi, Valentina 
Nunes, Nuno J. 
Zimmerman, John 
Forlizzi, Jodi 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Λέξεις-κλειδιά: Persuasive sociometric technologies;Social inclusion
Ημερομηνία Έκδοσης: Σεπ-2013
Πηγή: Biannual Conference of the Italian Chapter of SIGCHI, 2013, 16 - 20 September, Trento, Italy
Conference: Biannual Conference of the Italian Chapter of SIGCHI 
Περίληψη: 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.
URI: https://hdl.handle.net/20.500.14279/13326
DOI: 10.1145/2499149.2499163
Rights: Copyright © 2013 ACM.
Type: Conference Papers
Affiliation: Madeira Interactive Technologies Institute 
Carnegie Mellon University 
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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