معرفی
Dr. Soon Li Lee is a Lecturer at Monash University Malaysia, affiliated with the Jeffrey Cheah School of Medicine and Health Sciences. He joined Monash in 2021 after serving as a psychology lecturer at Taylor’s University Lakeside Campus. His work centers on cyberpsychology, particularly technological and social media addiction, with a strong emphasis on psychological well-being.
His research interests include:
- Technological addiction (e.g., Facebook, smartphone)
- Dark Triad personality traits (narcissism, Machiavellianism, psychopathy)
- Individual differences in technology use
- Social outcomes of dark personality traits
- Humor styles and schadenfreude
- Cultural orientations and digital behavior
Dr. Lee's recent publications (2020–2024) reflect a consistent focus on the psychological mechanisms underlying social media use, particularly how personality traits like the Dark Triad influence maladaptive behaviors online. His work often employs mediation and moderation analyses to explore constructs such as dependency, self-criticism, self-esteem, and social anxiety. Key journals include Computers in Human Behavior, PLoS ONE, and Japanese Psychological Research, indicating interdisciplinary reach across psychology, mental health, and human-technology interaction.
Scientific contributions and recognition:
- Associate Editor, International Journal of Technology and Human Interaction (2021)
- Guest Editor, International Journal of Mental Health Promotion (2024)
- Research contributes to UN Sustainable Development Goals, particularly mental health and well-being
Dr. Lee actively supervises students whose research has been published in indexed journals, demonstrating mentorship in cyberpsychological research. He is currently accepting PhD students. His work also involves cross-cultural studies, especially comparing Malaysian and Australian populations, and extends into clinical domains such as Prader-Willi Syndrome management. No formal lab or research team is explicitly mentioned, but his collaborative publications suggest active research networking.
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