Bowen Sun

Aligning designer requirements with prototyping platform functionalities remains a challenge in agile development (AD) environments, as existing tools often fail to accommodate evolving needs. This study proposes a systematic approach to optimizing prototyping platforms by bridging the gap between user needs and functional design. First, a designer requirement architecture was constructed using grounded theory, identifying three core elements: interaction needs, collaboration needs, and visualization and testing needs. The F-KANO model was used to categorize requirements, while DEMATEL was used to prioritize them based on interdependencies. Finally, quality function deployment (QFD) was used to map designer needs to functional specifications, deriving an optimization strategy. Empirical evaluation through user testing indicated notable improvements in workflow efficiency, usability, and collaboration effectiveness. This research offers a systematic framework for refining prototyping platforms in AD, improving design efficiency and UX.

As the number of traffic accident casualties continues to rise globally, this study aims to enhance traffic safety during highway emergency repairs. Based on the fundamentals of human vision, this study designed a novel interactive barricade design, R-barricade, which aims to improve the visibility and warning effect of the barricade, as well as to enhance the interaction with the operator in order to reduce the risk of accidents. We established a comprehensive visual criteria framework, combined with eye-tracking technology, to systematically evaluate the R-barricade. The evaluation results show that the design effectively improves the driver’s attention to the barricade and effectively extends the gaze time, significantly improves the reaction time, and effectively improves the safety of the barricade. This study provides new perspectives for evaluating and improving traffic safety measures during highway emergency repairs and contributes scientific support to the advancement of interactive transport systems and road safety management.

In order to streamline and summarize the status quo of human–computer interaction (HCI) design research in minimally invasive surgery robots, and to inspire and promote in-depth design research in related fields, this study utilizes literature research methods, inductive summarizing methods, and comparative analysis methods to analyze and organize the usage scenarios, users, interaction content and form, and relevant design methods of minimally invasive surgery robots, with the purpose of arriving at a review. Through a summary method, this study will obtain outcomes such as design requirements, interaction information classification, and the advantages and disadvantages of different interaction forms, and then make predictions of future trends in this field. Research findings show that the HCI design in the relevant field display a highly intelligent, human-centered, and multimodal development trend through the application of cutting-edge technology, taking full account of work efficiency and user needs. However, meanwhile, there are problems such as the absence of guidance by a systematic user knowledge framework and incomplete design evaluation factors, which need to be supplemented and improved by researchers in related fields in the future.