2026-09-19T12:38:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1206742022-05-26T02:27:52Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Rosalind W. Picard.
Peng, Fengjiao
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2019-03-01T19:57:10Z
2019-03-01T19:57:10Z
2018
2018
http://hdl.handle.net/1721.1/120674
1088506176
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 73-77).
Storytelling is a fundamental way in which human beings make sense of the world. Animated movies tell stories that engage audience across culture and age groups. I designed and built My Personalized Movies (MPM), a novel system where animated stories are automatically created based on data provided by individuals. The data include self-tracked mood and behavior captured in quantitative measures and descriptive text. MPM is designed to engage viewers through an emotive narrative, induce self-reflection about their mood and behavior patterns, and to improve self-compassion and self-esteem, which mediates behavior change. I demonstrate with a few stages of studies, involving in total 107 participants, that viewers show strong emotional engagement with MPM and can explicitly connect animated characters' stories to one's past experiences. An analysis of 22 participants' facial expression data during MPM reveals that participants' change in implicit self-esteem is positively correlated with the happiness of their facial expression. Participants with higher depression severity, as measured by PHQ9, showed less positive facial expression at the happy moments in the animation.
by Fengjiao Peng.
S.M.
81 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Program in Media Arts and Sciences ()
My Personalized Movies : novel system for automatically animating a movie based on personal data and evaluation of its impact on affective and cognitive experience
MPM : novel system for automatically animating a movie based on personal data and evaluation of its impact on affective and cognitive experience
Novel system for automatically animating a movie based on personal data and evaluation of its impact on affective and cognitive experience
Thesis
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<Abstract>Storytelling is a fundamental way in which human beings make sense of the world. Animated movies tell stories that engage audience across culture and age groups. I designed and built My Personalized Movies (MPM), a novel system where animated stories are automatically created based on data provided by individuals. The data include self-tracked mood and behavior captured in quantitative measures and descriptive text. MPM is designed to engage viewers through an emotive narrative, induce self-reflection about their mood and behavior patterns, and to improve self-compassion and self-esteem, which mediates behavior change. I demonstrate with a few stages of studies, involving in total 107 participants, that viewers show strong emotional engagement with MPM and can explicitly connect animated characters' stories to one's past experiences. An analysis of 22 participants' facial expression data during MPM reveals that participants' change in implicit self-esteem is positively correlated with the happiness of their facial expression. Participants with higher depression severity, as measured by PHQ9, showed less positive facial expression at the happy moments in the animation.</Abstract>
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