Student Research Symposium Program Portal: Submission #217

Submission information
Submission Number: 217
Submission ID: 9065
Submission UUID: 264eee4b-9d52-46e4-8ae4-9adaf7179253

Created: Fri, 01/30/2026 - 12:25 PM
Completed: Fri, 01/30/2026 - 12:59 PM
Changed: Fri, 01/30/2026 - 12:59 PM

Remote IP address: 146.201.10.0
Submitted by: Anonymous
Language: English

Is draft: No
Primary Student Contact First Name Caleb
Primary Student Contact Last Name Harder
Pronouns
Primary Student Contact FSU Student Email cbh23c@fsu.edu
Photo of all individuals presenting this work Caleb.jpg
Major(s) of all individuals presenting this work Dual Enrolled; intended major is computer engineering
Bio of all individuals presenting this work My name is Caleb Harder, and I am an 11th grade dual-enrolled high school student at the Collegiate School at FSUPC. I am driven by curiosity and a strong interest in how things work, especially when it comes to technology. I enjoy exploring computers, software, and emerging innovations, and I plan to pursue a future career as a computer engineer. Outside of academics, I like going to the gym, where I stay active and build discipline through consistent training. I value hard work, problem-solving, and continuous learning, and I’m motivated to challenge myself both intellectually and physically every single day.
Poster Title Reducing Procrastination Through a Sensor-Based Smart Desk Assistant
Abstract Many students or engineers lose focus or procrastinate tasks while studying or coding. Digital distractions can lead to procrastination and loss of focus, and with the prevalence of computer-based work environments, this issue only becomes larger. Furthermore, digital distractions are linked to lower productivity. Previously, engineers have utilized digital reminders to solve this problem. However, these notifications can be easily ignored, and potentially worsen the problem by opening the door to digital distractions. In addition, there isn’t much significant research on combining psychological research with a physical desktop assistant. So, can a smart desk assistant that uses sensors (e.g. motion, light, or sound) to detect when you get distracted help reduce procrastination and distraction by giving you reminders to stay focused? To address this question, I will be building and testing an Arduino powered smart desk assistant. An app for the desktop assistant will also be created to work with the physical robot. The app will detect the user’s procrastination and distraction and then send a signal to the robot to remind the user to stay focused. Testing will then determine the effectiveness of the proposed solution. The significance of this study is in the integration of psychology and computer engineering to create a working tool that reduces procrastination and distraction, thus increasing productivity.
Research Mentor Name Madison Flammia
Research Mentor's College (or High School) The Collegiate School at FSUPC
Research Mentor's Department (or Subject) Research
Research Mentor's Email mjf24@fsu.edu
Additional Research Mentor(s)
Co-presenter(s)
Keywords Procrastination, technology, engineering
Poster Session/Number
Work Exploratory (the research question has been identified and design of approach is outlined)
Presentation Modality Face to Face Poster session
Poster PDF
Poster Thumbnail
I will be printing my poster No
Year 2026
Annual description 5th annual Undergraduate Research Symposium, April 17, 2025
Update URL https://pc.fsu.edu/student-research/symposium/research-symposium-program-portal?element_parents=elements/student_photo&ajax_form=1&_wrapper_format=drupal_ajax&token=s44TINuDuD1ls79yBFCS2j3kSOkL9w-upO0vKIuLlkw