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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Students Engineering & Materials Science
Smartphones Engineering & Materials Science
Radio frequency identification (RFID) Engineering & Materials Science
Sensors Engineering & Materials Science
learning Social Sciences
Mobile phones Engineering & Materials Science
Sensing Mathematics
Ubiquitous computing Engineering & Materials Science

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Research Output 1992 2019

Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education

Chen, L., Uemura, H., Hao, H., Goda, Y., Okubo, F., Taniguchi, Y., Terai, M., Konomi, S., Ogata, H. & Yamada, M., Jan 16 2019, Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018. Lee, M. J. W., Nikolic, S., Wong, G. K. W., Shen, J., Ros, M., Lei, L. C. U. & Venkatarayalu, N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 17-24 8 p. 8615254. (Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2018).

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

performance behavior
learning behavior
learning performance
Education
science
1 Citation (Scopus)

Using ambient WiFi signals to find occupied and vacant houses in local communities

Konomi, S., Sasao, T., Hosio, S. & Sezaki, K., Feb 14 2019, In : Journal of Ambient Intelligence and Humanized Computing. 10, 2, p. 779-789 11 p.

Research output: Contribution to journalArticle

Smartphones
Triangulation
Costs
Experiments

Br-MAP: Concept map system using e-book logs

Yamada, M., Shimada, A., Terai, M., Taniguchi, Y. & Konomi, S., Jan 1 2018, Proceedings of the 15th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2018. Sampson, D. G., Sampson, D. G., Isaias, P., Ifenthaler, D., Ifenthaler, D. & Rodrigues, L. (eds.). IADIS Press, p. 248-254 7 p. (Proceedings of the 15th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2018).

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

Bayerischer Rundfunk
cognitive learning
learning behavior
learning strategy
learning

Crowdsourcing treatments for low back pain

Hosio, S. J., Karppinen, J., Takala, E. P., Takatalo, J., Goncalves, J., Van Berkel, N., Konomi, S. & Kostakos, V., Apr 20 2018, CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, (Conference on Human Factors in Computing Systems - Proceedings; vol. 2018-April).

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

Chemical analysis

Designing a mobile behavior sampling tool for spatial analytics

Konomi, S. & Sasao, T., Jan 1 2018, Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. Konomi, S. & Streitz, N. (eds.). Springer Verlag, p. 92-100 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10922 LNCS).

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

Sensing
Sampling
Human