Context-Aware Chatbot Based on Cyber-Physical Sensing for Promoting Serendipitous Face-to-Face Communication

Hirokazu Tanaka, Hiromu Motomatsu, Yugo Nakamura, Yutaka Arakawa

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


To promote the face-to-face communication reduced by COVID-19, we proposed and implemented a context-aware Slack chatbot based on Cyber-Physical sensing that helps colleagues meet more often in the same place. Our system periodically collects the user’s internal context through Slack (cyber sensing) and uses small BLE beacons distributed to colleagues and beacon scanners installed in a laboratory to sense physical attendance (physical sensing). In addition, the system notifies the user of recommended actions, such as lunch or coffee break, depending on the context determined by the Cyber-Physical sensors. We deployed the proposed system in a laboratory environment and conducted an initial experiment for six weeks. Experimental results confirmed that our system can encourage serendipitous face-to-face communication during periods when the frequency of attending school and going to work dropped due to COVID-19. It was also found that in an environment such as a laboratory, where a certain level of trust has already been established, the openness of the collected information can further motivate users to participate in the system.

Original languageEnglish
Title of host publicationPersuasive Technology - 17th International Conference, PERSUASIVE 2022, Proceedings
EditorsNilufar Baghaei, Nilufar Baghaei, Julita Vassileva, Raian Ali, Kiemute Oyibo
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages10
ISBN (Print)9783030984373
Publication statusPublished - 2022
Event17th International Conference on Persuasive Technology, PERSUASIVE 2022 - Virtual, Online
Duration: Mar 29 2022Mar 31 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13213 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Persuasive Technology, PERSUASIVE 2022
CityVirtual, Online

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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