A carregar...
Publicação
Using (Webcam Based) Eye-tracker to Measure Students’ Attentiveness and Engagement: Systematic Review
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 966.24 KB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Eye-tracking technology is recognized as a valuable tool for understanding the cognitive states
of students. However, traditional eye-tracking methods are expensive and not scalable for
general real-life use. In this context, webcam-based eye-tracking presents a promising
alternative due to its affordability and accessibility. Here, using the PRISMA methodology for
a systematic review of the relevant literature, we address the research question: "How have
studies used webcam eye-tracking technology to measure attention and engagement of
students in educational settings, and what are the reported methodologies outcomes?". Our
findings indicate that webcam-based eye trackers, while cost-effective, face several
challenges related to data accuracy which is still very unstable to what it needs to be for future
real-life use, the influence of environmental factors such as lighting that still influence the
quality of results, and privacy concerns expressed by the participants of several studies that
represent in general the users of this kind of solutions in the future. However, despite these
obstacles, the technology still shows substantial promise in improving educational research
and practice. Our study highlights the need to refine webcam-based eye-tracking methods
further to enhance reliability and utility in academic settings. Future research should continue
to explore these avenues to overcome the current limitations and unlock the full potential of
this innovative technology. Considering the above, our study provides a solid foundation for
future advancements in the field, capacitating future researchers with a comprehensive
database of studies with all relevant information already synthesized. This thesis will
contribute to more efficiency in future studies.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Eye-Tracking Attention Human Behaviour Identify patterns and trends Webcam SDG 4 - Quality education