Advanced Design Research最新文献

{"title":"Get older adults involved: Participatory design of assistive robots for older adults using the Context-based Design Toolkit (CoDeT)","authors":"Ela Liberman-Pincu,&nbsp;Tal Oron-Gilad","doi":"10.1016/j.ijadr.2025.04.001","DOIUrl":"10.1016/j.ijadr.2025.04.001","url":null,"abstract":"<div><div>Socially assistive robots (SARs) have the potential to significantly enhance the quality of life for older adults by addressing their unique needs and challenges. This study employs a Context-based Design Toolkit (CoDeT) to gather input from older adults for three types of SARs: a Medical Assistant Robot (MAR), a COVID-19 Officer Robot (COR), and a Personal Assistant Robot (PAR). CoDeT, which includes tangible cutouts of robotic components, facilitates participatory design (PD) sessions, allowing users to express their needs and concerns effectively. Three PD groups engaged with the toolkit to create new robot models, while two PD evaluation groups assigned each model to specific use cases. The tangible nature of the toolkit improved engagement and communication, leading to user-centered designs. The findings underscore the importance of context-driven design, with distinct recommendations for each use case to ensure the robots meet user needs and contextual requirements. The study involved five sessions with older adults, including three PD workshops and two evaluation sessions. Participants aged 75–92 contributed to the design process by selecting visual qualities such as structure, morphology, and color. The outcomes were analyzed to form a design space model for each use case, highlighting the significance of user-centered and context-driven design in developing effective SARs. This research demonstrates the value of involving older adults in the design process to create practical and empathetic SARs that address their specific needs and preferences.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 1-10"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term effects of static and dynamic lighting on sleepiness and task performance in simulated enclosed spaces","authors":"Xian Zhang ,&nbsp;Ali Ghahramani ,&nbsp;Ziteng Wei ,&nbsp;Jingluan Wang ,&nbsp;Lei Wang ,&nbsp;Dengkai Chen","doi":"10.1016/j.ijadr.2025.08.002","DOIUrl":"10.1016/j.ijadr.2025.08.002","url":null,"abstract":"<div><div>With the rapid advancement of manned spaceflight and deep-sea exploration and the development of planetary habitats and future underground facilities, research on environmental factors within enclosed spaces has become increasingly important. Beyond visual perception, light exerts significant non-visual effects (NVEs) on human physiology and behavior, such as sleepiness, arousal, and task performance. However, the short-term effects of lighting strategies in enclosed spaces remain underexplored, particularly across static and dynamic illumination patterns. We conducted a controlled experiment analyzing five distinct lighting conditions: two static (300 lx and 500 lx), one dynamic (transitioning from 300 lx to 500 lx), and two combined conditions (integrating static and dynamic elements, transitioning from 300 lx to 500 lx). Participants’ subjective sleepiness was assessed using a visual analog scale at the beginning and end of each lighting condition. Results revealed significant differences in sleepiness scores, with the lowest sleepiness observed under the first combined lighting condition and the highest sleepiness observed under the second combined condition. For task performance, participants exhibited the shortest reaction times under the first combined lighting condition, followed by the second static and dynamic lighting conditions. Notably, 500 lx led to faster responses compared with 300 lx. This finding highlighted the importance of illuminance in improving cognitive efficiency. Electrocardiogram monitoring further revealed increased heart rate and heart rate variability during the first combined lighting condition. These findings indicate that incorporating dynamic lighting elements into static lighting strategies may effectively reduce subjective sleepiness and improve cognitive performance in enclosed spaces. Future work should further explore long-term and circadian-related NVEs to inform intelligent lighting design.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 55-63"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of AIGC-assisted and conventional design approaches in car seat design","authors":"Yunpeng Bai ,&nbsp;Yuanjun Li ,&nbsp;Min Zhao ,&nbsp;Chenjie Zhao ,&nbsp;Bingjun Liu ,&nbsp;Dengkai Chen","doi":"10.1016/j.ijadr.2025.05.002","DOIUrl":"10.1016/j.ijadr.2025.05.002","url":null,"abstract":"<div><div>With the rapid advancement of artificial intelligence technology, the application of Artificial Intelligence Generated Content (AIGC) in the realms of creativity and design is becoming increasingly prevalent. This paper seeks to explore a comparative study between AIGC-assisted and traditional methods in automotive seat design. The design of automotive seats is a complex process that integrates considerations of ergonomics, material science, safety, and comfort. Traditional design approaches rely on the experience of designers and preliminary user research to iteratively refine design solutions, a process that is time-consuming and contingent upon the skill level of the designers. By utilizing the Pole Position (ABE) automotive seat design project as a case study and employing the SWOT analysis model, this research compares traditional design methods with those augmented by AIGC. The findings indicate that AIGC-assisted design excels in reducing design timeframes, enhancing design diversity, and increasing user satisfaction. However, traditional methods still hold an edge in deeply understanding and integrating user needs to achieve emotional design. Consequently, this study recommends integration of AIGC-assisted with traditional design approaches, leveraging the strengths of AI to supplement the deficiencies of conventional methods, and harnessing the creative thinking of designers to realize more humanized and personalized automotive seat designs.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 24-30"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of color and icon encoding themed HMl on trust calibration in automated vehicles","authors":"Qi Guo,&nbsp;Yu Wang,&nbsp;Yan Chen","doi":"10.1016/j.ijadr.2025.03.004","DOIUrl":"10.1016/j.ijadr.2025.03.004","url":null,"abstract":"<div><div>Conditional driving automation, also known as SAE Level 3 automated driving, allows drivers to perform non-driving related tasks NDRT when certain conditions are met without the need for constant monitoring. However, these automated systems require human drivers to be prepared to take over control when faced with operational constraints, and in an emergency, the automated system will send a take-over request (TOR) to the driver via the human-machine interface (HMI). As a result, the in-vehicle HMI is becoming an increasingly complex and important information interaction system. This study systematically investigates the combined effects of color and icon coding in human-machine interfaces HMIs on trust calibration during SAE Level 3 automated driving scenarios, with a focus on emergencies. Twelve females and thirteen males made up the 25 valid data samples. The sample driving experience range was 0 to 5 years (Mean ​= ​1.56, SD ​= ​0.77), with a maximum age of 30 and a minimum age of 20 (Mean ​= ​22.68, SD ​= ​2.19). A one-way experimental design using a combination of subjective and objective data was used to study subjects' driving trust and NDRT performance under three different static driving interfaces. Distinct from previous works focusing on unimodal encoding effects, our research pioneers in examining the synergistic relationship between color semantics and icon semantics in emergency scenarios. Additionally, we propose a novel dynamic trust assessment framework integrating both subjective scales and ocular metrics (fixation count/dwell time) validated through psychophysiological literature. The study used three sections of the experimental road, and participants had to complete the non-driving related task in each section. It was found that (1) colour coding of information in the driving interface affects driving trust, and (2) the combined effect of color coding and icon coding led to higher subjective trust than either coding method alone.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 11-23"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144571882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The cognitive acceptance of generative AI image tools based on TPB-TAM model and multi-theory integration","authors":"Yao Wang ,&nbsp;Xinwei Guan ,&nbsp;Yiwei Sun ,&nbsp;Hanyu Wang ,&nbsp;Dengkai Chen","doi":"10.1016/j.ijadr.2025.08.001","DOIUrl":"10.1016/j.ijadr.2025.08.001","url":null,"abstract":"<div><div>The rapid development and application of generative AI image tools are profoundly reshaping the landscape of image generation. As a primary user group, designers' acceptance of these tools directly impacts their application effectiveness and industry trends. This study integrates the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), extracts key variables from the Information Systems Success Model (ISSM) and the theory of perceived risk, and introduces the concepts of user experience and technological anxiety to construct a comprehensive model of designers' behavioral intentions to use generative AI image tools across different design types. Using AMOS software and the CB-SEM structural equation model to analyze valid data, this study reveals the significant impact of subjective norms, cognitive attitudes, and perceived behavioral control on usage intention in different design contexts. It also highlights the differentiated influence of external variables, such as system information quality, on intermediary variables like subjective norms. Through these analyses, the study clarifies the specific impact mechanisms of various external variables on behavioral intention. This study offers a new perspective on understanding designers' cognitive acceptance of generative AI image tools and proposes differentiated promotion and training strategies, providing valuable guidance for industry practice.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 38-54"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization method for control panel layout of manned submarine vehicle based on genetic-ant colony algorithm","authors":"Ning Xie ,&nbsp;Yidan Qiao ,&nbsp;Hongqi Shi ,&nbsp;Dengkai Chen","doi":"10.1016/j.ijadr.2025.03.003","DOIUrl":"10.1016/j.ijadr.2025.03.003","url":null,"abstract":"<div><div>Traditional computer-aided design methods for the control panel layout of manned submersibles commonly use interactive input and modification, which cannot support a global optimization process. To overcome this limitation, this study introduces the genetic-ant colony algorithm to design the control panel layout of manned submersibles. Based on the cognitive characteristics of humans, layout optimization principles are summarized and incorporated into the objective function variables during the optimization process. The fitness function, pheromone, and heuristic information expressions for optimizing the control panel layout of manned submersibles are studied to establish the genetic-ant colony algorithm flow during optimization design. Taking the control panel layout design of a certain manned submersible type as an example, this study performs multi-objective optimization calculations to quantify the layout optimization principles and combine them with the algorithm, verifying the feasibility of the proposed design method.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 31-37"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A product appearance design method based on artificial intelligence generated content","authors":"Yanpu Yang,&nbsp;Yueming Zhuo,&nbsp;Zhihong Wu,&nbsp;Jialing Liu,&nbsp;Wenhao Meng","doi":"10.1016/j.ijadr.2025.09.001","DOIUrl":"10.1016/j.ijadr.2025.09.001","url":null,"abstract":"<div><div>This study proposes a product appearance design method that integrates advanced Artificial Intelligence Generated Content (AIGC) tools such as ChatGPT and Midjourney, aimed at assisting the design process and improving design efficiency. The proposed method first utilizes ChatGPT's natural language processing capabilities to extract Kansei engineering vocabulary that captures target product attributes. These terms are then used to generate detailed prompts, which are fed into Midjourney to create preliminary conceptual designs. Given AIGC's ability to generate a vast array of design proposals, close collaboration between designers and AIGC tools is essential to ensuring that the final design meets innovative objectives and practical requirements. To verify the feasibility and effectiveness of the design proposals generated by the proposed approach, this study employs the Intuitionistic Fuzzy Set (IFS) method that combines subjective and objective assessments, along with eye-tracking technology. Through IFS, experts select the designs that most closely align with the Kansei engineering vocabulary. Meanwhile, eye-tracking experiments provide objective physiological data to quantify user preferences and visual appeal for the design proposals. The application of AIGC technology highlights the transformative potential of artificial intelligence in product design, demonstrating its capacity as a powerful tool that effectively enhances human creativity and significantly improves design efficiency and quality.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"3 1","pages":"Pages 64-77"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"VibroYoga: Improving muscle localization for older adults in video-guided yoga practice","authors":"Yuting Diao ,&nbsp;Guanhong Liu ,&nbsp;Jingru Guo ,&nbsp;Shiwen Lai ,&nbsp;Yuanling Feng ,&nbsp;Tongxin Sun ,&nbsp;Yuan Feng ,&nbsp;Jihong Jeung","doi":"10.1016/j.ijadr.2025.03.001","DOIUrl":"10.1016/j.ijadr.2025.03.001","url":null,"abstract":"<div><div>Yoga, a practice aimed at enhancing bodily awareness and control, is increasingly being adopted by older adults through video-based instruction. However, the absence of physical touch from the instructor has made it challenging for older adults to effectively recognize the location of the target muscles required to be used, which is crucial for the quality of yoga practice. In this study, we developed a wearable system called VibroYoga through preliminary design exploration and conducted an evaluation study with 22 participants. Results showed that VibroYoga improved the correctness rate of muscle localization and reduced response time. Additionally, it provided older adults with various positive physical and emotional experiences. Our study discussed future improvements for VibroYoga to better support older adults in engaging in activities that emphasize internal body-mind experiences.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"2 2","pages":"Pages 125-136"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AEC perceptions on DFMA collaboration and supporting technologies for prefabricated housing in Australia and New Zealand","authors":"Rongrong Yu ,&nbsp;Ning Gu ,&nbsp;Tingting Liu ,&nbsp;Hong Guan ,&nbsp;Erwin Oh ,&nbsp;Sormeh Sharifi ,&nbsp;Ruidong Chang","doi":"10.1016/j.ijadr.2025.03.002","DOIUrl":"10.1016/j.ijadr.2025.03.002","url":null,"abstract":"<div><div>This paper presents survey results regarding Architecture, Engineering and Construction (AEC) professionals' perceptions about Design for Manufacture and Assembly (DFMA) collaboration for prefabricated housing in Australia and New Zealand, and perceptions about its supporting digital technologies. Prefabricated Construction (PC) provides a viable and promising approach for addressing Australia and New Zealand's current housing crisis, by enhanced delivery of housing projects, due to PC's numerous benefits such as faster delivery, better quality control, cost benefits, and greater sustainability performance. DFMA principles encourage consideration of manufacturing and assembly knowledge in the early design stage, since that allows stakeholders to work collaboratively during the early design stage to increase constructability and productivity. Hence the effective application of DFMA methodology to enhance PC projects represents a key goal for current prefabrication practices. However, the application of DFMA principles to PC currently remains very limited and challenging, and currently there is a lack of digital technologies for supporting DFMA application using an integrated holistic design approach. To address these issues, this study surveyed 50 design and construction professionals in Australia and New Zealand, regarding their professional views and insights into the issues. The results suggest that some main current barriers against implementing DFMA in PC projects, has been the stakeholders' level of understanding of DFMA, as well as stakeholders' extent of collaboration and limitations in communication. Additionally, the results suggest that current barriers for applying digital technologies to DFMA collaboration in PC projects are cost hesitancy, limits of stakeholders' digital skillsets, lack of industry readiness, as well as barriers around digital integration and interoperability of digital tools. The study has identified a strong future need in Australia and New Zealand for implementation of DFMA principles into PC projects, and a need for further development of associated digital technologies.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"2 2","pages":"Pages 115-124"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the alignment of AI with human emotions","authors":"J. Derek Lomas ,&nbsp;Willem van der Maden ,&nbsp;Sohhom Bandyopadhyay ,&nbsp;Giovanni Lion ,&nbsp;Nirmal Patel ,&nbsp;Gyanesh Jain ,&nbsp;Yanna Litowsky ,&nbsp;Haian Xue ,&nbsp;Pieter Desmet","doi":"10.1016/j.ijadr.2024.10.002","DOIUrl":"10.1016/j.ijadr.2024.10.002","url":null,"abstract":"<div><div>Generative AI systems are increasingly capable of expressing emotions through text, imagery, voice, and video. Effective emotional expression is particularly relevant for AI systems designed to provide care, support mental health, or promote wellbeing through emotional interactions. This research aims to enhance understanding of the alignment between AI-expressed emotions and human perception. How can we assess whether an AI system successfully conveys a specific emotion? To address this question, we designed a method to measure the alignment between emotions expressed by generative AI and human perceptions.</div><div>Three generative image models—DALL-E 2, DALL-E 3, and Stable Diffusion v1—were used to generate 240 images expressing five positive and five negative emotions in both humans and robots. Twenty-four participants recruited via Prolific rated the alignment of AI-generated emotional expressions with a string of text (e.g., “A robot expressing the emotion of amusement”).</div><div>Our results suggest that generative AI models can produce emotional expressions that align well with human emotions; however, the degree of alignment varies significantly depending on the AI model and the specific emotion expressed. We analyze these variations to identify areas for future improvement. The paper concludes with a discussion of the implications of our findings on the design of emotionally expressive AI systems.</div></div>","PeriodicalId":100031,"journal":{"name":"Advanced Design Research","volume":"2 2","pages":"Pages 88-97"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}