TY - GEN
T1 - Design of a personalised AI coaching assistant for occupational health and safety
AU - Vitale, Jonathan
AU - Berkovsky, Shlomo
AU - Takeuchi, Shun
AU - Beheshti, Amin
AU - Xin, Kexuan
AU - Saito, Junya
AU - Yamao, Sosuke
PY - 2025/7
Y1 - 2025/7
N2 - This work presents a personalised AI coaching system to enhance occupational health and safety using a bottom-up design approach inspired by Lean UX and Agile principles. Leveraging Large Language Models and Computer Vision, the pilot integrated automated reporting and role-playing simulations to address safety challenges. Prototyping with existing and adapted AI tools demonstrated feasibility, with positive feedback from managers highlighting its potential to improve compliance and the need for staff involvement. The study underscores AI's role as a collaborative coaching mediator and the effectiveness of bottom-up design in aligning solutions with user needs, while naturally integrating persuasive technology principles.
AB - This work presents a personalised AI coaching system to enhance occupational health and safety using a bottom-up design approach inspired by Lean UX and Agile principles. Leveraging Large Language Models and Computer Vision, the pilot integrated automated reporting and role-playing simulations to address safety challenges. Prototyping with existing and adapted AI tools demonstrated feasibility, with positive feedback from managers highlighting its potential to improve compliance and the need for staff involvement. The study underscores AI's role as a collaborative coaching mediator and the effectiveness of bottom-up design in aligning solutions with user needs, while naturally integrating persuasive technology principles.
KW - Human-Centred Design
KW - Personalised Coaching
KW - Persuasive Technologies
KW - Collaborative AI
KW - Occupational Health and Safety Agile Methodologies
KW - Role-Playing
KW - LLMs
UR - https://www.scopus.com/pages/publications/105008993975
U2 - 10.1007/978-3-031-94959-3_1
DO - 10.1007/978-3-031-94959-3_1
M3 - Conference proceeding contribution
SN - 9783031949593
SN - 9783031971761
T3 - Lecture Notes in Computer Science
SP - 3
EP - 17
BT - Persuasive Technology
A2 - Win, Khin Than
A2 - Ali, Raian
A2 - Karapanos, Evangelos
A2 - Papadopoulos, George A.
A2 - Oyibo, Kiemute
A2 - Vlahu-Gjorgievska, Elena
PB - Springer Nature Switzerland AG
CY - Cham
T2 - 20th International Conference on Persuasive Technology, PERSUASIVE 2025
Y2 - 5 May 2025 through 7 May 2025
ER -