Saqib Nawaz

Swinburne University of Technology, Department of Computer Science and Software Engineering, Graduate Student

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I am doing a PhD at the Swinburne University of Technology. Previously, I completed a Bachelor Degree in Information Technology (Business Systems) and a Graduate Certificate in Research and Innovation Management. My research is centred on individuals' excessive smartphone use and the effectual/productive use of smartphones. My current research aims to explore suitable/easy to adopt strategies for identifying and managing problematic smartphone use and dependence. Similarly, this research incorporates how different demographics/socioeconomic factors contribute to PSU and how to differentiate effectual (productive) smartphone use from ineffectual (unproductive) use. Thus, motivations behind excessive smartphone use and dependence can be addressed accordingly. My academic enthusiasm also lies in the philosophical foundation of Information Technology, Human-Computer Interaction and Social Sciences research, focusing on the social and cultural theory, theory development, and design practices of how people behave or act while using technology. Particularly while exploring the impact of personality and circumstances/environment on their behaviours.

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Tilburg University

Università degli Studi di Padova

Sonia Mangialavori

Özgür Batur

Girne Amerikan Universitesi

özgür batur

Girne Amerikan Universitesi

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Exploring the impact of smartphone dependency on real-life recreational activities: A theory of planned behaviour study

Exploring the Impact of Smartphone Dependency on Real-Life Recreational Activities: A Theory of Planned Behaviour Study, 2025

Research indicates that the widespread adoption of smartphones globally has led to increasing ins... more Research indicates that the widespread adoption of smartphones globally has led to increasing instances of problematic use and dependence. This study applies the Theory of Planned Behaviour (TPB) to explore how current smartphone usage patterns influence engagement in Real-Life Recreational Activities (RLRA). In particular, it explores the discrepancy between users' preference for smartphone use versus their actual use during RLRA, considering socio-demographic variables, overall smartphone usage, and dependency levels. Data were collected from 523 Australian adults via an online survey employing convenience and purposive sampling. Bivariate analysis using the Chi-square test indicated significant associations between preference and actual smartphone use during RLRA with factors like age, parental status, and smartphone dependency. Heavy social media, audio, video, and podcast users particularly demonstrated a higher preference and actual smartphone use during RLRA. Despite most users reducing their smartphone engagement during active participation in RLRA, some users reported unchanged or increased smartphone use due to habits or necessity. The study proposes a theoretical framework to understand the drivers behind increased smartphone use and dependency, particularly in the context of recreational activities. This study highlights the need for multidisciplinary efforts to develop effective interventions for managing excessive smartphone use and dependency, emphasising the importance of integrating various professional perspectives.

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