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Mining for motivation: Using a single wearable accelerometer to detect people's interests

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a novel investigation of how motion as measured with just a single wearable accelerometer is informative of people's interests and motivation during crowded social events. We collected accelerometer readings on a large number of people (32 and 46 people in two crowded social events involving up to hundreds of people). In our experiments, we demonstrate how people's movements are informative of their particular interests: during talks, their interests in particular topics, and during networking events, their interest to participate successfully to make new contacts and foster existing ones. To our knowledge, using a single body worn accelerometer to measure and automatically infer these aspects of social behaviour has never been attempted before. Our experiments show that despite the challenge of the proposed task, useful automated predictions are possible and demonstrate the potential for further research in this area.

Original languageEnglish
Title of host publicationIMMPD '12
Subtitle of host publicationProceedings of the 2012 ACM Workshop on Interactive Multimedia on Mobile and Portable Devices, Co-located with ACM Multimedia 2012
EditorsLing Shao
PublisherACM Publishing
Pages23-26
Number of pages4
ISBN (Print)978-1-4503-1595-1
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd ACM International Workshop on Interactive Multimedia on Mobile and Portable Devices, IMMPD 2012 - Nara, Japan
Duration: 2 Nov 20122 Nov 2012
Conference number: 2

Workshop

Workshop2nd ACM International Workshop on Interactive Multimedia on Mobile and Portable Devices, IMMPD 2012
Abbreviated title IMMPD
Country/TerritoryJapan
CityNara
Period2/11/122/11/12

Keywords

  • Algorithms
  • Data mining
  • Human behavior
  • Human factors
  • Wearable sensors
  • n/a OA procedure

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