{"title":"Exploring the Intersection of Ergonomics, Design Thinking, and AI/ML in Design Innovation","authors":"Celina P. Leão, Vinícius Silva, Susana Costa","doi":"10.3390/asi7040065","DOIUrl":null,"url":null,"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.","PeriodicalId":36273,"journal":{"name":"Applied System Innovation","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied System Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/asi7040065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
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.