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In this paper, we evaluate methods of aggregating personal sensor data to estimate the degree of group stress. We compare the estimation accuracy of two aggregation methods, one without and one with personal distribution scaling. As a result of applying the data of 9 groups of people (105 people) to the methods, it is shown that the no-scaling method successfully estimates the degree of group stress...
Big data without link to value is merely a cost. We have studied how to profit from data with Internet-of-Things technologies for over 10 years to reach the answer: the Wearable Happiness Meter. It allows us to integrate the measure of both wellbeing and productivity of 7-billion people worldwide, which was the dream of the 18th-century philosopher Jeremy Bentham, numeration of the greatest happiness...
Big data without link to value is merely a cost. We have studied how to profit from data with Internet-of-Things technologies for over 10 years to reach the answer: the Wearable Happiness Meter. It allows us to integrate the measure of both wellbeing and productivity of 7-billion people worldwide, which was the dream of the 18th-century philosopher Jeremy Bentham, numeration of the greatest happiness...
We devised a method for analyzing communication, which focuses on influences between two sequential posts in a conversation on a social-network service (SNS). Posts expressed on an SNS are classified into three emotions: positive, negative, or neutral. Two influences were analyzed: the emotion of a person's preceding post on the emotion of a post from another person, and the emotion of a person's...
We evaluate community activity in social network based on body motion synchrony of two people during face-to-face communication. In particular, we look at people's body motion synchrony when they are in the same communities and from different communities. Using wearable sensors, we measured individuals' time series body motion data and face-to-face communication data. From these data we detected communities...
This study investigates whether people entrain their body sway in everyday face-to-face communication. Interpersonal entrainment has been observed under experimental conditions, but not in daily life. We used wearable sensors to measure individual body vibration and face-to-face interactions in daily life. The observation included at least 100 participants from each of seen organization over a period...
In order to clarify the relationship between human social interaction and mental health, we measured face-to-face communication pattern for a few months and conducted a questionnaire on mental health in two organizations in real world. Face-to-face interaction data were measured using wearable sensing system in two organizations in Japan. We extracted some feature values from those two kind data and...
In order to explore the relationship between human social interaction and mental health, we investigated the correlations between the amount of face-to-face contact time and quantified mental health. Social interaction data were obtained by wearable sensing system for two organizations in Japan. In this study, we regarded face-to-face contact between individuals as social interaction. The mental health...
A single question concerning human communication represents serious issues in many social fields: "What makes communication active?" Even though this question has been partially researched, no law has yet been revealed. In this paper, a unified Hamiltonian model of activity level in face-to-face communications between people is introduced. This model consists of two basic findings drawn...
Personality has been studied in its relation to individual's mental health. However, in workplace context, personality of individual should be argued in relation to the personality of people with whom the individual is working with. This study investigated the relationship between mental health indices of individual and personality indices of both the individual and people with whom the person is...
A badge-shaped sensor and feedback system were developed. This system makes it possible to study human and organizational behavior in an office. By prompting changes in workers' behavior, it improves productivity as well as helps to solve individual's problems. Aiming to improve the productivity and quality of project management, the system was applied at a software development company. The results...
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