Student Research Symposium Program Portal: Submission #217
Submission information
Submission Number: 217
Submission ID: 9065
Submission UUID: 264eee4b-9d52-46e4-8ae4-9adaf7179253
Submission URI: /student-research/symposium/research-symposium-program-portal
Submission Update: /student-research/symposium/research-symposium-program-portal?token=s44TINuDuD1ls79yBFCS2j3kSOkL9w-upO0vKIuLlkw
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
Webform: Research Symposium Program Portal WF
Submitted to: Student Research Symposium Program Portal
serial: '217' sid: '9065' uuid: 264eee4b-9d52-46e4-8ae4-9adaf7179253 uri: /student-research/symposium/research-symposium-program-portal created: '1769793902' completed: '1769795983' changed: '1769795983' in_draft: '0' current_page: '' remote_addr: 146.201.10.0 uid: '0' langcode: en webform_id: research_portal entity_type: node entity_id: '14501' locked: '0' sticky: '0' notes: '' metatag: meta data: 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.' additional_research_mentor: '' annual_description: '5th annual Undergraduate Research Symposium, April 17, 2025' co_presenters: '' first_name: Caleb i_will_be_printing_my_poster: '0' keywords: 'Procrastination, technology, engineering' last_name: Harder major: 'Dual Enrolled; intended major is computer engineering' poster_pdf: '' poster_session_number: '' poster_thumbnail: '' presentation_modality: 'Face to Face Poster session' pronouns: '' research_mentor: 'Madison Flammia' research_mentor_s_college: 'The Collegiate School at FSUPC' research_mentor_s_department: Research research_mentor_s_email: mjf24@fsu.edu student_bio: '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.' student_email: cbh23c@fsu.edu student_photo: '72900' title: 'Reducing Procrastination Through a Sensor-Based Smart Desk Assistant' 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' work: Exploratory year: '2026'