MoodScope: Building a Mood Sensor from Smartphone Usage Patterns

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dc.contributor.advisorZhong, Lin
dc.contributor.committeeMemberSabharwal, Ashutosh
dc.contributor.committeeMemberSubramanian, Devika
dc.creatorLi Kam Wa, Robert
dc.date.accessioned2012-09-06T04:05:15Z
dc.date.accessioned2012-09-06T04:05:18Z
dc.date.available2012-09-06T04:05:15Z
dc.date.available2012-09-06T04:05:18Z
dc.date.created2012-05
dc.date.issued2012-09-05
dc.date.submittedMay 2012
dc.date.updated2012-09-06T04:05:18Z
dc.description.abstractMoodScope is a first-of-its-kind smartphone software system that learns the mood of its user based on how the smartphone is used. While commonly available sensors on smartphones measure physical properties, MoodScope is a sensor that measures an important mental state of the user and brings mood as an important context into context-aware computing. We design MoodScope using a formative study with 32 participants and collect mood journals and usage data from them over two months. Through the study, we find that by analyzing communication history and application usage patterns, we can statistically infer a user’s daily mood average with 93% accuracy after a two-month training period. To a lesser extent, we can also estimate Sudden Mood Change events with reasonable accuracy (74%). Motivated by these results, we build a service, MoodScope, which analyzes usage history to act as a sensor of the user’s mood. We provide a MoodScope API for developers to use our system to create mood-enabled applications and create and deploy sample applications.
dc.format.mimetypeapplication/pdf
dc.identifier.citationLi Kam Wa, Robert. "MoodScope: Building a Mood Sensor from Smartphone Usage Patterns." (2012) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/64654">https://hdl.handle.net/1911/64654</a>.
dc.identifier.slug123456789/ETD-2012-05-114
dc.identifier.urihttps://hdl.handle.net/1911/64654
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectMobile computing
dc.subjectAffective computing
dc.titleMoodScope: Building a Mood Sensor from Smartphone Usage Patterns
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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