# Exploring the Intersection of Ergonomics, Design Thinking, and AI/ML in Design Innovation
## 3 Results and Discussion
### Thematic Analysis of Selected Papers
#### 3.2.3 Main Findings and Implications
By blending qualitative and quantitative data, this study effectively captures the complexity of human factors in design, although the heavy reliance on advanced neural networks may limit the methodology's accessibility and reproducibility for broader applications. [PERSON] et al. [28] established a theoretical model linking user experience with interaction metaphors through a comprehensive survey. Their findings offer practical guidelines for designing interactive products that cater to affective and cognitive user processes. This research contributes valuable insights into how metaphors enhance user interaction and satisfaction. However, the reliance on participant feedback could introduce subjectivity, indicating a need for complementary quantitative measures to validate these findings. [PERSON] et al. [25] emphasized integrating human factors into designing AI diagnostic tools for skin cancer, focusing on potential cognitive errors and biases. Their findings underline the importance of considering cognitive styles, personality, and user experience in developing AI technologies to ensure clinical effectiveness. This critical perspective highlights the necessity of human-centered AI design, particularly in sensitive fields like healthcare, where user trust and accuracy are paramount. [PERSON], [PERSON], and [PERSON] [26] discussed the effectiveness of AI-based methods for mitigating wildlife-vehicle collisions, stressing the importance of understanding animal behavior. Their findings suggest that machine learning models can significantly enhance the detection and prevention of such collisions. This interdisciplinary approach highlights the broader applications of AI in addressing ecological and environmental challenges. However, the accuracy of these models depends heavily on the quality of behavioral data, pointing to the need for ongoing data collection and refinement. [PERSON] [27] explored the impact of AI on decision making during cyber conflicts, finding that technical expertise can mitigate biases and improve evaluations of AI inputs. This study provides valuable insights into the cognitive aspects of using AI in high-stakes decision-making scenarios. The findings suggest that enhancing users' technical understanding of AI can lead to more informed and balanced decision making. However, the experimental nature of the study may require further validation in real-world settings to confirm these results. [PERSON], [PERSON], and [PERSON] [29] introduced a new system model combining augmented reality (AR) and Kansei engineering for bionic design. Their findings indicate that this integrated approach can enhance both perceptual and rational constraints in product design. This innovative method offers significant potential for creating more user-friendly and immersive design experiences. Nonetheless, the high technological demands of AR may limit its widespread adoption, suggesting a need for developing more accessible AR tools. [PERSON] and [PERSON] [31] developed an embedded fault diagnosis expert system for weapon maintenance, highlighting its effectiveness in real-time state acquisition and diagnostics. Their findings suggest that such systems can significantly improve the efficiency and reliability of maintenance operations. However, the complexity and need for specialized knowledge to operate these systems may pose barriers to implementation, indicating a need for more user-friendly interfaces and training programs. The main findings from these studies collectively underscore the diverse applications and significant potential of integrating ergonomics, design thinking, and AI/ML. While quantitative methods provide robust, objective data crucial for ergonomic design, mixed and qualitative methods offer deeper insights into user experiences and cognitive factors. The emphasis on sustainable design and social impacts reflects an evolving awareness of broader societal responsibilities.