With the advancement of AI technology, the successful AI adoption in organizations has become a top priority in modern society. However, many organizations still struggle to articulate the necessary ...AI, and AI experts have difficulties understanding the problems faced by these organizations. This knowledge gap makes it difficult for organizations to identify the technical requirements, such as necessary data and algorithms, for adopting AI. To overcome this problem, we propose a new AI system architecture design methodology based on the IMO (Input-AI Model-Output) structure. The IMO structure enables effective identification of the technical requirements necessary to develop real AI models. While previous research has identified the importance and challenges of technical requirements, such as data and AI algorithms, for AI adoption, there has been little research on methodology to concretize them. Our methodology is composed of three stages: problem definition, system AI solution, and AI technical solution to design the AI technology and requirements that organizations need at a system level. The effectiveness of our methodology is demonstrated through a case study, logical comparative analysis with other studies, and experts reviews, which demonstrate that our methodology can support successful AI adoption to organizations.
With the current international shortage of speech-language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. For this purpose, several online speech ...therapy systems (OSTSs) have been proposed and discussed in the literature. However, developing these OSTSs is not trivial since it involves the consideration of various functional and quality concerns. Hence, for communicating the design decisions and guiding the development and analysis of these systems, a proper architecture design is important. Unfortunately, the architecture design of OSTSs has not been explicitly addressed in the literature. To this end, we present a reference architecture for OSTSs which has been designed following well-established architecture design methods. The reference architecture captures the reusable design elements of OSTSs and can be used to derive various different application architectures. A case study approach is used to illustrate and validate the use of the presented reference architecture.
•This method jointly optimizes the selection of product variety, module variants, and personalized module configurations.•Cost-effective product personalization uses continuous optimization of ...parameters and discrete selection of module combinations.•Customer personalization preference data are simulated based on a multivariate normal mixture model of customer preferences.
Open product architecture is a key enabler for product personalization, as it allows the integration of personalized modules in a product architecture to satisfy individual customer needs and preference. A critical challenge for integrating personalized modules into a product architecture is determining the optimal assembly architecture when considering market expectations and manufacturing constraints. In this paper, an optimization method is proposed for determining the personalized product design architecture that incorporates individual customer preferences. First, a decision hierarchy is presented to describe the integrated design decisions of the product architecture, including product variety determination, module variant selection, and personalized module configuration. Next, a profit model is formulated as an overall performance metric that incorporates customer preferences and manufacturing cost. The systematic patterns and randomness of diverse customer preferences are modeled by combining conjoint analysis and market segmentation with a multivariate normal mixture model. Individual customer product utilities in the target market and their product purchase intent probability are estimated through Monte-Carlo simulation, which is incorporated into the profit calculation. Manufacturing limitations on processes and materials are included as they influence manufacturer’s planning on candidate module variants and production strategies of personalized modules. These models are used to determine a product family architecture that maximizes profit by optimally determining its offering of product variants, module combinations, and personalized module configuration through a genetic algorithm. The proposed method is demonstrated by a personalized bicycle architecture design example.
Interactive architecture designs enable spatial forms to respond to human activities by integrating technology, programming, and spatial experience. Most interactive programs respond to established ...actions in a uniform manner and do not take into account the individual emotional state of the user. However, the emotional states of children and adolescents with emotional/behavioral disorders play a crucial role in their interactions, and uniform spatial responses cannot be adapted to different people. This study developed an interactive architectural system for children with emotional/behavioral disorders based on individual emotion recognition and corresponding spatial transformation. The method proposed in this study enables individuals in certain emotional categories, such as extroverted, introverted, aggressive, and defensive states, to receive matching spatial responses. Using this individuality-oriented interactive system, we built a practical pavilion in a primary school in Tianjin. This study demonstrates how combining individual emotions and spatial variations opens up new design possibilities for interactive architecture.
The use of Extended Reality (XR) has evolved to engage in architecture design and education. XR allows the students to experience their design project in real scale. Educators confirmed that spatial ...ability is central to design studio tasks. They also confirmed that spatial ability can be developed using XR. The aim of the study is to present the results of an experiment for implementing XR technology in the early design studio in architectural education and its impact on students’ general spatial ability levels. The method used was a baseline and post-project general spatial ability test to examine the correlation between the use of XR and the scores of the participants. The study found that the mean scores for the control group did not change significantly before and after the experiment. Whereas using XR technology significantly increased the scores of the students compared to the control group.
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