Date of Award
Summer 6-15-2023
Degree Type
Thesis
Degree Name
Master of Science (MS)
School
School of Computing
First Advisor
Noriko Tomuro, PhD
Second Advisor
Clark Elliott, PhD
Third Advisor
Jacob Furst, PhD
Abstract
This research presents an innovative approach to improving visual-spatial attention using a research tool based on the web. Recognizing the significant role visual-spatial attention plays in everyday life and cognitive function for humans, this research was undertaken with the aim of developing a user-friendly, accessible web-based tool called Attention Visual (attentionvisual.com) to enhance this crucial cognitive skill. This tool also facilitates data collection, potentially accelerating the pace and enhancing the quality of related research. Both qualitative and quantitative methods were utilized for data collection and analysis. In order to stimulate improvements in visual-spatial attention, the tool’s algorithm was structured to adjust task difficulty according to the user’s performance; heightened performance would yield more challenging tasks, whereas lower performance would result in easier tasks, fostering an adaptive and progressive learning environment. The main hypothesis that underlies this research was that regular use of this tool could result in measurable enhancements in visual-spatial attention. This has potential benefits for various population groups, from athletes to individuals with certain cognitive conditions. The results of the research validate this hypothesis, demonstrating the effectiveness of the webbased tool in enhancing visual-spatial attention and indicating that the design elements of the tool have a positive impact on user performance. The research additionally highlighted a wide range of participant diversity, thanks to the online nature of the tool, enhancing the robustness and generalizability of the data collected. These findings contribute significantly to the fields of cognitive science, neuroplasticity, and digital tool development, offering valuable insights for future research. They demonstrate the effectiveness of web-based tools in cognitive science research and suggest potential avenues for future investigation, such as exploring other aspects of visual cognition or the application of such tools in practical settings like cognitive therapy and rehabilitation.
Recommended Citation
Dingil, Baris, "Attention visual" (2023). College of Computing and Digital Media Dissertations. 52.
https://via.library.depaul.edu/cdm_etd/52