Sensors and Materials
ISSN 0914-4935

Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Estimation of Friendship Based on Similarity of Pulse Rate Variability of Users for Event-based Social Networks

Yusuke Kajiwara, Yuki Kubo, and Haruhiko Kimura

(Received October 17, 2017; Accepted December 11, 2017)

Keywords: friendship, similarity of pulse rate variability of users, favorability, machine learning

In contrast to traditional social network service, event-based social networks determine close friendship of users by sharing experiences and emotions with candidate friends in offline events. However, we could not provide feedback to the cyberspace the place, time and target where the user makes friendship since there is no technique for conveniently measuring the evocation of friendship during offline events. In this research, we propose a method of estimating friendship based on the similarity in the pulse rate variability (PRV) of users whenempathy is evoked between users. The user can know about friendship automatically estimated through machine learning by wearing a wristwatch type pulsimeter on his/her arm. Close friendships (CFs) are more likely to feel empathy than superficial friendships (SFs). To demonstrate the usefulness of this method, we conducted an experiment assuming an event where a group of four people are enjoying their time in an amusement park. From the experimental results, we showed that the similarity of the PRV of CFs is greater than that of SFs when the favorability rating is high and the users liked each other. Moreover, we showed that the proposed method estimated the evocation of friendship at the attraction experience with a f-measure of 0.74 at the maximum and estimated the evocation of friendship in an offline event with a mean f-measure of 0.78. The results showed the usefulness and effectiveness of this method.

Corresponding author: Yusuke Kajiwara




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