Exploring the Intersection of Ergonomics, Design Thinking, and AI/ML in Design Innovation

IF 3.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Celina P. Leão, Vinícius Silva, Susana Costa
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Abstract

This paper conducts a systematic literature review to explore the dynamic interplay among ergonomics, design thinking, and artificial intelligence (AI) or machine learning (ML). In a rapidly evolving world, the convergence of ergonomics and design Innovation plays a critical role in creating products and spaces valued for their comfort, usability, and aesthetics. Using Elicit, academic papers are identified to elucidate the relationships among these disciplines. The team reviews and selects relevant papers, employing a large language model (LLM)-enabled platform to extract key points. The analysis emphasizes the pivotal roles of ergonomics and design thinking in integrating AI and ML into product design. It underscores the enduring significance of considering user experiences and aesthetics within the AI/ML framework. The findings reveal that while AI/ML techniques enhance precision and innovation in design, integrating ergonomic principles ensures user comfort and safety. The study highlights the necessity for interdisciplinary collaboration and methodological diversity to fully harness the potential of AI and ergonomic design. Limitations include the reliance on contemporary web crawlers and the varying quality of available literature, potentially affecting the comprehensiveness of the review. Future research should focus on developing more robust search methodologies, expanding the scope of studies, and conducting longitudinal research to examine long-term impacts. Ethical implications of AI/ML in design should also be explored to ensure responsible and sustainable use of these technologies. Overall, this research contributes to a nuanced understanding of the roles played by ergonomics and design thinking in synergy with AI/ML for product design, highlighting their impact on shaping user experiences and aesthetics. Despite potential limitations, the study underscores these disciplines’ resilience and lasting relevance in the evolving design field.
探索设计创新中人体工程学、设计思维和人工智能/ML 的交叉点
本文通过系统的文献综述,探讨了人体工程学、设计思维和人工智能(AI)或机器学习(ML)之间的动态相互作用。在快速发展的世界中,人体工程学和设计创新的融合在创造舒适、可用和美观的产品和空间方面发挥着至关重要的作用。通过使用 Elicit,学术论文被识别出来,以阐明这些学科之间的关系。团队审查并选择相关论文,利用大型语言模型(LLM)平台提取要点。分析强调了人体工程学和设计思维在将人工智能和 ML 整合到产品设计中的关键作用。它强调了在人工智能/人工智能框架内考虑用户体验和美学的持久意义。研究结果表明,虽然人工智能/ML 技术提高了设计的精确性和创新性,但结合人体工程学原理可确保用户的舒适性和安全性。这项研究强调了跨学科合作和方法多样性的必要性,以充分利用人工智能和人体工程学设计的潜力。局限性包括对当代网络爬虫的依赖和现有文献的质量参差不齐,这可能会影响综述的全面性。未来的研究应侧重于开发更强大的搜索方法,扩大研究范围,并开展纵向研究以考察长期影响。此外,还应探讨人工智能/ML 在设计中的伦理意义,以确保负责任地、可持续地使用这些技术。总之,这项研究有助于深入理解人体工程学和设计思维与人工智能/ML 在产品设计中的协同作用,突出它们对塑造用户体验和美学的影响。尽管存在潜在的局限性,但这项研究强调了这些学科在不断发展的设计领域中的弹性和持久相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied System Innovation
Applied System Innovation Mathematics-Applied Mathematics
CiteScore
7.90
自引率
5.30%
发文量
102
审稿时长
11 weeks
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