Lecturer
Qualifications
Research interests
Biography
Mishka Dewlok is a postgraduate researcher in Data Analytics with a background in Computer and Information Sciences, specialising in Application Development. Her research focuses on the design, analysis, and evaluation of data-driven systems that integrate embedded sensors, mobile applications, and machine learning models deployed on resource-constrained devices.
A central aspect of her work lies in human–computer interaction, particularly in understanding how users engage with sensor-driven and intelligent systems in real-world contexts. She investigates how interaction techniques, feedback mechanisms, and interface design influence usability, interpretability, and user trust in systems powered by embedded intelligence.
She is currently working on a research project titled MoveWithMe, which explores the use of smart wearable technology and sensor-based analytics to support movement monitoring and interaction for children. The project integrates embedded sensors, lightweight machine learning models, and mobile interfaces to enable real-time feedback and adaptive interaction. Move With Me is scheduled to be piloted in Namibia, with a focus on evaluating system performance, usability, and user experience in a real-world setting.
More broadly, her research examines how analytics, embedded intelligence, and HCI principles can be combined to develop practical, human-centred
Lecturer
Qualifications
Research interests
Biography
Mishka Dewlok is a postgraduate researcher in Data Analytics with a background in Computer and Information Sciences, specialising in Application Development. Her research focuses on the design, analysis, and evaluation of data-driven systems that integrate embedded sensors, mobile applications, and machine learning models deployed on resource-constrained devices.
A central aspect of her work lies in human–computer interaction, particularly in understanding how users engage with sensor-driven and intelligent systems in real-world contexts. She investigates how interaction techniques, feedback mechanisms, and interface design influence usability, interpretability, and user trust in systems powered by embedded intelligence.
She is currently working on a research project titled MoveWithMe, which explores the use of smart wearable technology and sensor-based analytics to support movement monitoring and interaction for children. The project integrates embedded sensors, lightweight machine learning models, and mobile interfaces to enable real-time feedback and adaptive interaction. Move With Me is scheduled to be piloted in Namibia, with a focus on evaluating system performance, usability, and user experience in a real-world setting.
More broadly, her research examines how analytics, embedded intelligence, and HCI principles can be combined to develop practical, human-centred
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Emeris is an educational brand of The Independent Institute of Education (Pty) Ltd which is registered with the Department of Higher Education and Training as a private higher education institution under the Higher Education Act, 1997 (reg. no. 2007/HE07/002). Company registration number: 1987/004754/07. View certificate here.
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