RT journal article
T1 Improving Social Acceptance of Orthopedic Foot Orthoses Through Image-Generative AI in Product Design
A1 Resch, Stefan
A1 Schauer, Jakob
A1 Schwind, Valentin
A1 Völz, Diana
A1 Sánchez Morillo, Daniel
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 artificial intelligence
K1 generative AI
K1 chatGPT
K1 text-to-image
K1 human-centered design
K1 human–computer interaction
K1 product design
K1 social acceptance
K1 foot orthoses
K1 wearables
AB The lack of social acceptability for wearable devices such as orthopedic foot orthoses can lead to irregular usage and missed health benefits, as shown in prior studies. While AI-generated designs have been explored for prototyping aesthetic hand orthoses, their impact on social acceptability, particularly for foot orthoses, remains unknown. The current state of research is limited, as no empirical evidence exists on whether AI-designed orthoses influence acceptance, nor has the role of customized generative pre-trained transformers (GPTs) and specific prompting strategies been examined in this context. To address these gaps, we conducted two mixed-methods studies to investigate (1) the impact of AI-generated orthosis designs on social acceptability compared to existing orthopedic products and development concepts and (2) how a customized GPT and different prompt keywords influence acceptance. Our results show that AI-generated designs significantly enhance social acceptance across orthotic categories. Furthermore, we found that personalized GPTs and targeted prompt keywords significantly influence user perception. Overall, our findings highlight the potential of using AI to create socially acceptable design solutions for wearable technology and offer new applications for future smart devices. We contribute to generative AI in product design and provide concrete recommendations for optimizing prompting strategies to enhance social acceptance.
PB MDPI
SN 2076-3417
YR 2025
FD 2025-04-09
LK http://hdl.handle.net/10498/36140
UL http://hdl.handle.net/10498/36140
LA eng
NO This research was funded by the Hessian Ministry of Science and Art—HMWK, Germany (FL1, Mittelbau).
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026