Research Publications

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Open Access
Impact of Mobile Phone Dependence on Social Anxiety among University Students
(Faculty of Humanities and Sciences, SLIIT, 2023-11-01) Lakshika, R; Bulathwatta, A
Mobile phone dependence is a significant condition that people experience all over the world. Dependence on mobile phones, like any phenomenon related to other technologies, is also related to psychological issues such as anxiety, social isolation, hopelessness, and sleep problems. Thus, this study aimed to figure out the impact of mobile phone dependence on social anxiety among students University of Peradeniya. A snowball sample of 115, 79 female and 36 male participants were selected from the Faculty of Arts. Data was gathered administrating a questionnaire as a google form. Quantitative data was gathered by a self-constructed questionnaire that measures mobile phone dependence and social anxiety was measured by using Leibowitz Social Anxiety Scale (LSAS-SR). The correlational analysis shows that there is a relationship between mobile phone dependence and social anxiety. It shows that dependence, loneliness, anxiety positively correlate with mobile phone dependence. The results show that there is a significant impact of mobile phone dependence on social anxiety among undergraduates. This study expected to have a positive relationship between mobile phone dependence and social anxiety among university students. Results revealed that the variable anxiety contributes the most to social anxiety among university students. In conclusion, university students depend on mobile phones for their academic activities and entertainment. Especially with the Covid-19 pandemic mobile phone dependence behavior of university students may have increased and it might be influencing their social anxiety.
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A Framework for Tracking And Summarizing Daily Activities with Mobile Phone for Healthy Life of a User
(Institute of Electrical and Electronics Engineers, 2022-09-16) Wickramasinghe, K.E.T.; Albertjanstin, N; Wijethunga, L.P. P. L; Rajapaksha, U.U.S.K; Panduwawala, P.K.K.G; Harshanath, S.M.B
People nowadays have incredibly busy lifestyles with little time to do their activities, and smartphones have become a need for many people all over the world as new features and controls have been developed, and smartphone usage has rapidly increased by individuals. People that lead complex lifestyles find it difficult to balance their activities. As a consequence, an automated method of tracking user activity on a smartphone can give a better solution for managing a user's daily life while also saving time. We take a look at some of the previous studies on user behaviour tracking methods approaches. Derived from the previous studies, we noticed some important challenges, including smartphone addiction and unhealthy posture, battery drainage concerns, managing educational activities, and finding necessary information from the huge data. In this paper, we proposed an automated monitoring approach to track user activities on smartphones and give solutions to the aforementioned difficulties. We developed different algorithms such as ANN to understand smartphone usages and battery interactions, CNN for detecting unhealthy neck postures and Word2Vec for generating similar meanings for fast search

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