Maitri Vaghela | Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT) (original) (raw)
Papers by Maitri Vaghela
Human-centric intelligent systems, Dec 15, 2022
Sleep is one of the essential bio-makers for human health. Poor sleep is associated with reduced ... more Sleep is one of the essential bio-makers for human health. Poor sleep is associated with reduced cognitive performance. With most smartphone users in India being college students, the focus is now on exploring smartphone usage's impact on students' sleep. Umpteen news articles in India have reported binge-watching, social media use during the night, and other mobile phone-related interruptions as causes of improper sleep and irregular sleep patterns. However, such studies may involve bias while self-reporting and are limited to a one-time exercise. To understand the reality, we need to accurately quantify the sleep duration, patterns, mobile usage before and after bedtime, number and duration of interruptions. In this first-of-its-kind study in India, we infer novel insights into the sleep patterns of a cohort of 40 college students. We implement a mobile sensing-based approach for the study by installing a custom-developed mobile app on all phones. We extract sleep activity and infer the sleep duration, bed-in and wake-up times, and interruption duration from the sensor data collected from the phone's built-in sensors. The study brings about new insights into college student sleep patterns and, interestingly, shows that students have a regular sleep cycle and good sleep quality. Only one-fourth of the students revealed irregular sleep patterns, and we did not observe any mobile-related interruptions 30 min past bedtime.
2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC)
Smartphones have revolutionized the pervasive computing research domain. With various sensors emb... more Smartphones have revolutionized the pervasive computing research domain. With various sensors embedded in them, they are being applied as experimental platforms for sensing, computing, and communication. These devices are utilized to sense certain physical quantity like motion, sound, location, etc., to infer user’s physical activity levels, location/context, and mobility patterns. The devices are also being used to understand user application usage styles and correlate them to users’ addiction to mobile phones, mental states, personality types, depression, emotion, and stress levels. However, such studies have not been attempted in India. The Indian research on mobile overuse includes studies conducted purely through surveys and personal interaction. In this work, we attempt at using the mobile sensing mechanism to study how smartphones impact the academic, social, and mental lives of students.
Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their bui... more Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their built-in sensor ecosystem providing a convenient platform to study human behavior. Examples include activity monitoring, transportation mode detection, travel behaviour and so on. All of these examples are connected in one way or the other to the IoT domain such as smart cities, smart health and so on. In this paper, we attempt to use smartphone sensors to understand college student behaviour within a campus for 30 days. The rising use of smartphones by the student population, motivated us to install a continuous sensing application on their smartphones to understand their daily routines, their physical activity levels, their sleep patterns, and their mobility patterns within the campus. Our empirical data was supported by qualitative responses from the students. The results of this experiment showed that smartphones indeed could be utilized to extract behavioral patterns of students.
Human-centric intelligent systems, Dec 15, 2022
Sleep is one of the essential bio-makers for human health. Poor sleep is associated with reduced ... more Sleep is one of the essential bio-makers for human health. Poor sleep is associated with reduced cognitive performance. With most smartphone users in India being college students, the focus is now on exploring smartphone usage's impact on students' sleep. Umpteen news articles in India have reported binge-watching, social media use during the night, and other mobile phone-related interruptions as causes of improper sleep and irregular sleep patterns. However, such studies may involve bias while self-reporting and are limited to a one-time exercise. To understand the reality, we need to accurately quantify the sleep duration, patterns, mobile usage before and after bedtime, number and duration of interruptions. In this first-of-its-kind study in India, we infer novel insights into the sleep patterns of a cohort of 40 college students. We implement a mobile sensing-based approach for the study by installing a custom-developed mobile app on all phones. We extract sleep activity and infer the sleep duration, bed-in and wake-up times, and interruption duration from the sensor data collected from the phone's built-in sensors. The study brings about new insights into college student sleep patterns and, interestingly, shows that students have a regular sleep cycle and good sleep quality. Only one-fourth of the students revealed irregular sleep patterns, and we did not observe any mobile-related interruptions 30 min past bedtime.
2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC)
Smartphones have revolutionized the pervasive computing research domain. With various sensors emb... more Smartphones have revolutionized the pervasive computing research domain. With various sensors embedded in them, they are being applied as experimental platforms for sensing, computing, and communication. These devices are utilized to sense certain physical quantity like motion, sound, location, etc., to infer user’s physical activity levels, location/context, and mobility patterns. The devices are also being used to understand user application usage styles and correlate them to users’ addiction to mobile phones, mental states, personality types, depression, emotion, and stress levels. However, such studies have not been attempted in India. The Indian research on mobile overuse includes studies conducted purely through surveys and personal interaction. In this work, we attempt at using the mobile sensing mechanism to study how smartphones impact the academic, social, and mental lives of students.
Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their bui... more Smartphones are becoming an integral part of the Internet of Things-(IoT) paradigm with their built-in sensor ecosystem providing a convenient platform to study human behavior. Examples include activity monitoring, transportation mode detection, travel behaviour and so on. All of these examples are connected in one way or the other to the IoT domain such as smart cities, smart health and so on. In this paper, we attempt to use smartphone sensors to understand college student behaviour within a campus for 30 days. The rising use of smartphones by the student population, motivated us to install a continuous sensing application on their smartphones to understand their daily routines, their physical activity levels, their sleep patterns, and their mobility patterns within the campus. Our empirical data was supported by qualitative responses from the students. The results of this experiment showed that smartphones indeed could be utilized to extract behavioral patterns of students.