基本信息
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个人简介
My research interests broadly focus on pervasive and ubiquitous computing, multimodal human sensing, automatic inference of human behaviour and affect.
The main goal of my Ph.D. thesis is to develop tools and methods to infer human behavior and affect in real-world settings (at work, school, home) by leveraging data gathered from sensors embedded in smartphones and wearable devices. I am particularly interested in developing technologies able to measure, predict and support people's health and well-being in every-day life.
I have been extensively working on unobtrusively measuring and recognizing students' engagement during lectures using wristbands. We demonstrated the feasibility of using electrodermal activity sensors to reliably identify non-engaged students. Overall, our findings may inform the design of systems that allow students to self-monitor their engagement and act upon the obtained feedback. Teachers could profit of information about non-engaged students too to perform self-reflection and to devise and evaluate methods to (re-)engage students.
The main goal of my Ph.D. thesis is to develop tools and methods to infer human behavior and affect in real-world settings (at work, school, home) by leveraging data gathered from sensors embedded in smartphones and wearable devices. I am particularly interested in developing technologies able to measure, predict and support people's health and well-being in every-day life.
I have been extensively working on unobtrusively measuring and recognizing students' engagement during lectures using wristbands. We demonstrated the feasibility of using electrodermal activity sensors to reliably identify non-engaged students. Overall, our findings may inform the design of systems that allow students to self-monitor their engagement and act upon the obtained feedback. Teachers could profit of information about non-engaged students too to perform self-reflection and to devise and evaluate methods to (re-)engage students.
研究兴趣
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MOLECULAR PHARMACEUTICS (2024)
Frontiers in digital health (2023): 1099456
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UbiComp/ISWC Adjunctpp.202-206, (2022)
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UbiComp/ISWC Adjunctpp.472-477, (2022)
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