Using Topic Models to Mine Everyday Object Usage Routines Through Connected IoT Sensors

Yanxia Zhang, Hayley Hung

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

With the tremendous progress in sensing and IoT infrastructure, it is foreseeable that IoT systems will soon be available for commercial markets, such as in people's homes. In this paper, we present a deployment study using sensors attached to household objects to capture the resourcefulness of three individuals. The concept of resourcefulness highlights the ability of humans to repurpose objects spontaneously for a different use case than was initially intended. It is a crucial element for human health and wellbeing, which is of great interest for various aspects of HCI and design research. Traditionally, resourcefulness is captured through ethnographic practice. Ethnography can only provide sparse and often short duration observations of human experience, often relying on participants being aware of and remembering behaviours or thoughts they need to report on. Our hypothesis is that resourcefulness can also be captured through continuously monitoring objects being used in everyday life. We developed a system that can record object movement continuously and deployed them in homes of three elderly people for over two weeks. We explored the use of probabilistic topic models to analyze the collected data and identify common patterns.

Original languageEnglish
Title of host publicationIOT'18
Subtitle of host publicationProceedings of the 8th International Conference on the Internet of Things
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages1-4
Number of pages4
ISBN (Print)978-1-4503-6564-2
DOIs
Publication statusPublished - 2018
Event8th International Conference on the Internet of Things, IoT 2018 - Santa Barbara, United States
Duration: 15 Oct 201818 Oct 2018

Conference

Conference8th International Conference on the Internet of Things, IoT 2018
CountryUnited States
CitySanta Barbara
Period15/10/1818/10/18

Keywords

  • Deployment
  • Internet of Things (IoT)
  • Machine Learning
  • Sensing

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  • Cite this

    Zhang, Y., & Hung, H. (2018). Using Topic Models to Mine Everyday Object Usage Routines Through Connected IoT Sensors. In IOT'18 : Proceedings of the 8th International Conference on the Internet of Things (pp. 1-4). [a27] Association for Computing Machinery (ACM). https://doi.org/10.1145/3277593.3277634