RIASEC GPT Chatbot and Eye Tracking: Conscious vs. Subconscious Vocational Interest Inventory
Publication Date
1-1-2026
Document Type
Conference Proceeding
Publication Title
Communications in Computer and Information Science
Volume
2933 CCIS
DOI
10.1007/978-3-032-22205-3_23
First Page
318
Last Page
332
Abstract
Vocational Interest Inventories (VIIs) are career assessments that recommend suitable career categories based on stated interest in various work activities. Utilizing advanced chatbot software and modern eye-tracking technology may glean additional conscious and subconscious data from users to improve VII’s. Through the application of the RIASEC (Holland’s Codes) model of VII’s to Generative Pre-trained Transformer (GPT) multimodal multi-bot chatbots and image-based comparison programs incorporating background eye-tracking in three related experiments, alternative methodologies of VII career category and career recommendation prediction are conducted, compared, and proposed for future vocational research studies. This is the first VII project that explores GPT-4 applications, eye-tracking technology, and diametrically opposite RIASEC career category comparison to efficiently predict user interest in RIASEC’s career categories.
Keywords
Career Assessment, Eye Tracking, Generative Pre-trained Transformer (GPT) Chatbot, RIASEC (Holland’s Codes), Vocational Interest Inventory (VII)
Department
Computer Science
Recommended Citation
Jennifer Mei ling Chun, Nada Attar, Sayma Akther, and Luke Liu. "RIASEC GPT Chatbot and Eye Tracking: Conscious vs. Subconscious Vocational Interest Inventory" Communications in Computer and Information Science (2026): 318-332. https://doi.org/10.1007/978-3-032-22205-3_23
