An Emotional Design Model for Future Smart Product Based on Grounded Theory

Emotional design for smart product-service system: A case study on smart beds

Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use a variety of clues to finally determine the appropriate user model. Based on this background, this research uses a deep learning mechanism for more accurate and effective emotion recognition, thereby optimizing the design of the interactive system and improving the user experience. First of all, this research discusses how to use user characteristics such as speech, facial expression, video, heartbeat, etc., to make machines more accurately recognize human emotions. Through the analysis of various characteristics, the speech is selected as the experimental material. Second, a speech-based emotion recognition method is proposed. The mel-Frequency cepstral coefficient (MFCC) of the speech signal is used as the input of the improved long and short-term memory network (ILSTM). To ensure the integrity of the information and the accuracy of the output at the next moment, ILSTM makes peephole connections in the forget gate and input gate of LSTM, and adds the unit state as input data to the threshold layer. The emotional features obtained by ILSTM are input into the attention layer, and the self-attention mechanism is used to calculate the weight of each frame of speech signal. The speech features with higher weights are used to distinguish different emotions and complete the emotion recognition of the speech signal. Experiments on the EMO-DB and CASIA datasets verify the effectiveness of the model for emotion recognition. Finally, the feasibility of emotional interaction system design is discussed.

The ever-increasing demand for user-centred smart products has driven the need for automation methodologies in product design processes, particularly for assessing usability and user experience (UX). Traditionally, practitioners construct functional (software) or physical (hardware) product prototypes to enable usability and UX assessments. Constructing a prototype followed by human testing are both time consuming and expensive activities. If virtual models and automated methods can replace some components of these activities, the time and cost of smart product development could be reduced while continuing to generate useful and beneficial products. In this paper, we survey the literature related to automated assessment methods for designing user-centric smart products. We identified five key activities on which to focus related to the testing or the design cycle: design thinking, design ideation, prototype creation, user data collection, and data analysis. The review methodology consisted of comprehensive search queries tailored to each activity to encapsulate automation methods pertinent to smart product development in research articles published from 2000-2023. Over 100 relevant articles were identified across engineering, human-computer interaction, human factors, industrial design, and other disciplines. This review highlights the effectiveness and limitations of various automation methods, benchmarked against traditional practice, providing valuable insights and practical recommendations for researchers and designers seeking to optimize smart product design processes for broad usability concerns. We are particularly interested in designing assistive mobility and rehabilitation devices. Development time and resources are often limited yet usability and UX directly impact important outcomes including perceived function, stigma, and device adoption. Improving these requires a transdisciplinary approach.

Enterprise IT Architecture Greenfield Design Combining IEC 62264 and TOGAF by Example of Battery Manufacturing

Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing

Developed countries and global manufacturing enterprises are leading the way for developing smart manufacturing systems (SMS) to improve competitiveness and possibly make technological breakthroughs. SMS is based upon the integration of information and communication technology with manufacturing technology; and all the heterogeneous technologies must be seamlessly connected. However, there is a lack of guidance in what technologies should be deployed and how they may be used. This paper introduces a reference activity model and describes various ways in which it can be used as guidance for deploying smart manufacturing technology.

Working together is important aspect of future industry. Therefore, technologies like Internet of Things (IoT), cloud computing, SOA give rise to another industrial revolution. We propose here a concept definition, which focuses on data acquisition, integration and predictive control in the industry. The concept consists of industrial IoT gateway, cloud services and machine learning services. We used machine learning to verify our data acquisition solution and we implemented prediction control as a cloud service. Finally, proposed solution will exceed boundaries inside ICS (Information and Control System), improve flexibility, interoperability and test plant prediction control in smart manufacturing.

The concept of business excellence has grown worldwide as a new trend that takes TQM implementation frameworks and quality award schemes to the next level. However, the business excellence trend has primarily focused on enterprise longevity and financial security, leaving out the environment and societal dimensions (Edgeman, Rick, and Jacob Eskildsen. 2014. “Modeling and Assessing Sustainable Enterprise Excellence.” Business Strategy and the Environment 23 (3). Wiley Online Library: 173–87.).

The user experience, often known as UX, is the key factor in determining a product success and increase user’s acquisition. However, this field of research lacks conceptual and practical models to follow when designing pervasive technologies such as mobile augmented reality (MAR). To convey a pleasant UX, it is necessary to identify the contributing factor and the components that influence the enhancement of the MAR design. The findings of the study indicated that emotions are the main factor that drives the user’s perception and hence, their choice and pleasure. This paper presents a preliminary model for designing an emotional UX mobile augmented reality application with the use of Kansei engineering approach. Ultimately, this model will provide insight into the design fundamentals that influence the user experiences. The outcomes of this study will assist researchers and designers in shaping the emotional user experience design.

In this paper, a structured approach for the development of an initial business strategy blueprint for a complicated, multi-partner, multidisciplinary, early-stage research project focusing on value-based and preventive health care technology, is presented. Based on an in-depth analysis of the changes, trends, and innovation mechanisms in the health care industry and of the health care markets and reimbursement systems in the four use case countries, an initial context-specific and country adaptable business strategy was developed. In that context, a variety of tools (business model canvas, business model templates, platform thinking, etc.) were used to create a modular and adaptable business strategy that could be cost-efficient. Finally, it was analyzed to what extent a transformation of the project’s part¬ner current business models and roles, would be required. One of the biggest challenges in that context is to bridge the gap between the current business models of the individual partners and the novel strategies required to make REACH and its touchpoints (=smart products and services acting as data gathering devices) a real innovation.

Improving alignment between timber sawmilling and prefabrication, defined as the coordination of information, materials, and decision-making across the supply chain, is critical for sustainable construction. This study examined integration through semi-structured interviews with 15 industry practitioners. Using framework analysis supported by NVivo, eight interlinked themes were identified: supply chain fragmentation and market cycles; data-driven forecasting; inventory and moisture management; digital integration; smart planning and production; quality assurance and workforce capability; circular economy and residue utilisation; and systemic enablers and constraints. The findings show that technical capabilities such as optimisation, grading, and QR-based traceability are often undermined by organisational and policy barriers, including distributor-mediated purchasing, limited interoperability, outdated standards, and uneven skills pathways. Integration was considered more feasible for mass timber prefabrication, where batch planning, tighter quality assurance, and vertical integration align with mill operations, compared with frame-and-truss networks that rely on just-in-time project workflows. The study provides empirical evidence of practitioner perspectives and identifies priorities for action that translate into sustainability gains through improved material efficiency, waste reduction, higher-value residue pathways, and supportive policy settings.

8. Smart Manufacturing. Design and Technology Information Systems in Industry. Navigation and Information Systems, Tools and Technologies. Global Satellite Navigation Systems

The development of computer‐integrated design systems requires formal models of engineering design. Object‐oriented approaches promise to have a major impact in this area. Two types of engineering design models that could be implemented using an object‐oriented approach are product models, which describe the physical entities that are designed, and process models, which describe design processes. The main difference between these two models is whether the objects implement physical entities or design activities. A general discussion of models for engineering design is presented, followed by more detailed discussion of both product and process models. Object‐oriented concepts are summarized and object‐oriented implementation of product and process models is reviewed. Each implementation consists of objects that bind data and procedures into a single package. The paper then considers how the object‐oriented approach helps to unify product and process models.

Though design for building performance is traditionally considered an evaluative act, current developments in the theory and technology of digital design are promoting new directions for performance-based models of design. This paper presents a theoretical basis for understanding the current shift in performance-based design and proposes a model of performance-based design in architecture, termed performative design. Automated processes related to the impact of environmental forces on form generation in digital design are the content of experimental processes upon which the paper reports. In the theoretical introduction the terms performative design and performative architecture are defined and discussed. Topics related to the current movement towards performance-based design in architecture, such as the role of topology, parametric design, associative geometry, and generative processes, are presented, and their implications for, and influence upon, performative design are discussed. An experimental design example in architectural design is demonstrated to illustrate various methodological issues in performative design.

Art therapy serves as a crucial intervention modality for children with autism spectrum disorder (ASD), demonstrating unique value in emotional expression, sensory integration, and social communication. However, current practice presents critical challenges, including the disconnect between design expertise and clinical needs, unclear mechanisms of environmental factors’ impact on therapeutic outcomes, and insufficient evidence-based support for technology integration. Purpose: This study aimed to construct an evidence-based theoretical framework for art therapy environment design for children with autism, clarifying the relationship between environmental design elements and therapeutic effectiveness. Methodology: Based on the Web of Science database, this study employed a dual-track approach comprising bibliometric analysis and micro-qualitative content analysis to systematically examine the knowledge structure and developmental trends. Research hotspots were identified through keyword co-occurrence network analysis using CiteSpace, while 24 representative design cases were analyzed to gain insights into design concepts, emerging technologies, and implementation principles. Key Findings: Through keyword network visualization analysis, this study identified ten primary research clusters that were systematically categorized into four core design elements: sensory feedback design, behavioral guidance design, emotional resonance design, and therapeutic support design. A responsive therapeutic environment conceptual framework was proposed, encompassing four interconnected components based on the ABC model from positive psychology: emotional, sensory, environmental, and behavioral dimensions. Evidence-based design principles were established emphasizing child-centeredness, the promotion of multisensory expression, the achievement of dynamic feedback, and appropriate technology integration. Research Contribution: This research establishes theoretical connections between environmental design elements and art therapy effectiveness, providing a systematic design guidance framework for interdisciplinary teams, including environmental designers, clinical practitioners, technology developers, and healthcare administrators. The framework positions technology as a therapeutic mediator rather than a driver, ensuring technological integration supports rather than interferes with children’s natural creative impulses. This contributes to creating more effective environmental spaces for art therapy activities for children with autism while aligning with SDG3 goals for promoting mental health and reducing inequalities in therapeutic access.