Fostering parent-child dialog through automated discussion suggestions.

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Title: Fostering parent-child dialog through automated discussion suggestions.
Authors: Boteanu, Adrian1 aboteanu@wpi.edu, Chernova, Sonia1 soniac@wpi.edu, Nunez, David2 dnunez@media.mit.edu, Breazeal, Cynthia2 cynthiab@media.mit.edu
Source: User Modeling & User-Adapted Interaction. Dec2016, Vol. 26 Issue 5, p393-423. 31p.
Subjects: Parent-child communication, Dialogue analysis, Context-aware computing, Emergent literacy, Academic achievement, Oral reading
Abstract: The development of early literacy skills has been critically linked to a child's later academic success. In particular, repeated studies have shown that reading aloud to children and providing opportunities for them to discuss the stories that they hear is of utmost importance to later academic success. CloudPrimer is a tablet-based interactive reading primer that aims to foster early literacy skills by supporting parents in shared reading with their children through user-targeted discussion topic suggestions. The tablet application records discussions between parents and children as they read a story and, in combination with a common sense knowledge base, leverages this information to produce suggestions. Because of the unique challenges presented by our application, the suggestion generation method relies on a novel topic modeling method that is based on semantic graph topology. We conducted a user study in which we compared how delivering suggestions generated by our approach compares to expert-crafted suggestions. Our results show that our system can successfully improve engagement and parent-child reading practices in the absence of a literacy expert's tutoring. [ABSTRACT FROM AUTHOR]
Copyright of User Modeling & User-Adapted Interaction is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22Boteanu%2C+Adrian%22">Boteanu, Adrian</searchLink><relatesTo>1</relatesTo><i> aboteanu@wpi.edu</i><br /><searchLink fieldCode="AR" term="%22Chernova%2C+Sonia%22">Chernova, Sonia</searchLink><relatesTo>1</relatesTo><i> soniac@wpi.edu</i><br /><searchLink fieldCode="AR" term="%22Nunez%2C+David%22">Nunez, David</searchLink><relatesTo>2</relatesTo><i> dnunez@media.mit.edu</i><br /><searchLink fieldCode="AR" term="%22Breazeal%2C+Cynthia%22">Breazeal, Cynthia</searchLink><relatesTo>2</relatesTo><i> cynthiab@media.mit.edu</i>
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  Data: <searchLink fieldCode="DE" term="%22Parent-child+communication%22">Parent-child communication</searchLink><br /><searchLink fieldCode="DE" term="%22Dialogue+analysis%22">Dialogue analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Context-aware+computing%22">Context-aware computing</searchLink><br /><searchLink fieldCode="DE" term="%22Emergent+literacy%22">Emergent literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Oral+reading%22">Oral reading</searchLink>
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  Data: The development of early literacy skills has been critically linked to a child's later academic success. In particular, repeated studies have shown that reading aloud to children and providing opportunities for them to discuss the stories that they hear is of utmost importance to later academic success. CloudPrimer is a tablet-based interactive reading primer that aims to foster early literacy skills by supporting parents in shared reading with their children through user-targeted discussion topic suggestions. The tablet application records discussions between parents and children as they read a story and, in combination with a common sense knowledge base, leverages this information to produce suggestions. Because of the unique challenges presented by our application, the suggestion generation method relies on a novel topic modeling method that is based on semantic graph topology. We conducted a user study in which we compared how delivering suggestions generated by our approach compares to expert-crafted suggestions. Our results show that our system can successfully improve engagement and parent-child reading practices in the absence of a literacy expert's tutoring. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of User Modeling & User-Adapted Interaction is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11257-016-9176-8
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        Text: English
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      – SubjectFull: Dialogue analysis
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      – SubjectFull: Context-aware computing
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      – SubjectFull: Emergent literacy
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              Text: Dec2016
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