ObjSampler

A ubiquitous logging tool for recording encounters with real world objects

Jun'ichi Yura, Hideaki Ogawa, Taizo Zushi, Jin Nakazawa, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a novel tool, called objSampler, with which users can record and recall "encounters" with objects in ubiquitous computing environments. We encounter various things, individuals, and places in the real world either consciously, meaning encounters that we are aware of, or unconsciously, meaning those we are unaware of but physically close to them. While some of those encounters are particularly important or treasurable to us, the physical memory in our brain is often too volatile to remember them. In objSampler, we address this issue by providing a state-ofart hardware called objPipette that embeds a sensor node, an RF-ID reader, and a battery cell. Users can record conscious encounters with it by scanning RF-ID tags pasted on real world objects. In addition, the objPipette detects and records the places where the user is. Users can recall the recorded encounters by using a software support in objSampler, called objScope. This paper describes the design and implementation of objSampler. User study, which is also provided in this paper, shows that objSampler provides a unique and intuitive means to achieve the above goal.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006
Pages36-41
Number of pages6
DOIs
Publication statusPublished - 2006
Event12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006 - Sydney, Australia
Duration: 2006 Aug 162006 Aug 18

Other

Other12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006
CountryAustralia
CitySydney
Period06/8/1606/8/18

Fingerprint

Ubiquitous computing
Sensor nodes
Brain
Scanning
Hardware
Data storage equipment
Radio Frequency Identification
User Studies
Volatiles
Ubiquitous Computing
Battery
Thing
Intuitive
Sensor
Software
Object
Cell
Vertex of a graph
Meaning

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Science Applications
  • Software
  • Theoretical Computer Science

Cite this

Yura, J., Ogawa, H., Zushi, T., Nakazawa, J., & Tokuda, H. (2006). ObjSampler: A ubiquitous logging tool for recording encounters with real world objects. In Proceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006 (pp. 36-41). [1691292] https://doi.org/10.1109/RTCSA.2006.46|

ObjSampler : A ubiquitous logging tool for recording encounters with real world objects. / Yura, Jun'ichi; Ogawa, Hideaki; Zushi, Taizo; Nakazawa, Jin; Tokuda, Hideyuki.

Proceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006. 2006. p. 36-41 1691292.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yura, J, Ogawa, H, Zushi, T, Nakazawa, J & Tokuda, H 2006, ObjSampler: A ubiquitous logging tool for recording encounters with real world objects. in Proceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006., 1691292, pp. 36-41, 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006, Sydney, Australia, 06/8/16. https://doi.org/10.1109/RTCSA.2006.46|
Yura J, Ogawa H, Zushi T, Nakazawa J, Tokuda H. ObjSampler: A ubiquitous logging tool for recording encounters with real world objects. In Proceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006. 2006. p. 36-41. 1691292 https://doi.org/10.1109/RTCSA.2006.46|
Yura, Jun'ichi ; Ogawa, Hideaki ; Zushi, Taizo ; Nakazawa, Jin ; Tokuda, Hideyuki. / ObjSampler : A ubiquitous logging tool for recording encounters with real world objects. Proceedings - 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2006. 2006. pp. 36-41
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