This team aims to research and identify effective methods for creating constructive online communities that foster helpful interactions, minimize toxicity and promote meaningful discussion and understanding among users. Sponsor

This team’s literature review examines approaches to reducing automation bias in artificial intelligence medical imaging due to missing demographic data on race and sex. It explores how these biases impact clinician trust and diagnostic accuracy, particularly for women and racial minorities. The findings will guide future experimental designs to address these issues. Sponsor

This team addresses parking issues at ASU’s Polytechnic campus, where limited spaces and traffic congestion create stress for students and faculty. Using human systems engineering principles and surveys, the team will identify pain points and propose data-driven solutions for improved parking efficiency, presenting findings through a poster with redesign suggestions. Sponsor

This team focuses on linguistically diverse teams, where varying native languages can complicate communication. However, research suggests that, with proper management, linguistic diversity can enhance team adaptability and success. This literature review aims to explore how language influences thought and develop a framework for effectively managing and leveraging linguistic diversity in teams. Sponsor

This team’s project focuses on measuring task switching and multitasking, examining how these methods assess performance and the cognitive costs associated with multitasking. The team will explore three domains: user interfaces, both combat and commercial pilots and medical systems. The goal is to highlight the value of multitasking across different fields, demonstrating its past applications…

This team’s project reviews the impact of artificial intelligence, or AI, on treating attention-deficit/hyperactivity disorder, or ADHD. It examines AI’s effects on learning and independence in individuals with ADHD and explores improvements for future treatments. The goal is to highlight AI’s potential in enhancing treatment for individuals with hyperactivity disorders. Sponsor

This team’s project reviews literature on the occupational risks of working with collaborative robots at construction sites, focusing on human-robot interactions. It explores engineering controls that reduce cognitive load, improve situational awareness and build trust to ensure safety. The goal is to develop design recommendations and identify research gaps to support the adoption of robotics…

This team’s project investigates the differences in comfort and usability between ortholinear and staggered keyboards. Staggered keyboards, where keys are offset, have been in use since the 1878 Remington number two typewriter, while ortholinear keyboards align keys in a perfect grid. Though research shows that split ergonomic keyboards reduce pain and injury, the traditional staggered…

This project explores whether cockpit head-up displays, or HUDs, contribute to inattentional blindness, where pilots may fail to perceive objects outside their focus. It will review existing research and propose methodologies to test the impact of HUDs on attention-switching. The findings could inform HUD design, regulations and pilot training to improve flight safety. Sponsor

This research study involves a questionnaire to assess ASU students’ attitudes towards the use of gen artificial intelligence, or AI, chatbots, like ChatGPT, in education, with a focus on trust. The goal is to understand students’ concerns and challenges with Gen AI tools. Key questions include: How do students view Gen AI in education? What…