The automotive industry is experiencing a significant technological shift, driven by electrification, connectivity, intelligence, sharing, and the trend towards “software-defined cars.” With this transformation, the traditional car cabin is evolving into a digital, intelligent, and mobile smart terminal that prioritizes passenger-centric design and data fusion. The design of in-car interaction has become essential in creating engaging, emotional, and humanized user experiences. Future success for traditional car manufacturers lies in developing effective communication methods and context for the intelligent car cabin while addressing relevant issues.
In an era of rapid development in digital technology, the Cyberpunk style finds in-creasingly broad applications in various artistic domains, greatly appealing to the younger generation. Compared to the well-developed research on the Cyberpunk lit-erary genre, there is still a lack of a comprehensive theoretical framework for study-ing Cyberpunk style visual imagery, leaving ample room for exploration across inter-disciplinary media expressions. Simultaneously, with the ongoing digitalization and smartification trends in the new energy vehicle industry, the user base for new energy vehicles is becoming younger, with a growing demand for novel driving experiences. Currently, personalized design in new energy vehicles mainly focuses on exterior aesthetics, with limited research on dashboard interface design.
With the continuous development of social economy and the improvement of computer science, communication engineering and electronic engineering, automo-biles are also gradually transforming from mechanical products driven by internal combustion engines to intelligent products driven by electricity. The electrification and intelligence of automobiles have brought new problems to society: on the one hand, electrically driven vehicles have lower operating noise, which makes pedestri-ans’ perception of vehicles weakened; on the other hand, with the deepening of intel-ligence, the control of vehicles will gradually be yielded from drivers to vehicles, which will largely cause the lack of human-vehicle trust. If these two problems are not solved, they will largely affect the efficiency of future road traffic and even bring potential danger. Therefore, it is necessary to explore a vehicle external sound effect as the external interaction interface of future vehicles to improve human-vehicle per-ception and enhance human-vehicle mutual trust. This paper takes the external sound design of quiet vehicles as the starting point, and divides the external sound design of vehicles into two aspects: quality design and functional design through literature research and combing of sound design related theories and methods. In the research of quality sense design, the paper explores the sound quality categories suitable for quiet vehicles based on human perception of sound quality, and realizes the decomposition of quality sense design elements through psychoacoustic experiments, and constructs the relevant design models, which provides theoretical guidance for the design of quality sense of exterior sound effects of quiet vehicles. In the functional design research, this paper conducted an in-depth investigation and study of human-vehicle conflict based on China’s road en-vironment and traffic participants, extracted a total of four categories and six types of human-vehicle interaction needs, and accordingly designed, optimized and verified the interaction information, and explored the design strategy of functional sound ef-fects.
The construction of a natural interactive human-computer interaction has become an integral component of intelligent system development, constituting a core subject within the field of human-computer interaction. Grounded in the utilization of human perception theories, this study proposes a robust method for speech emotion recognition and a model for inferring user emotional state changes, thereby achieving a hu-man-computer interaction experience characterized by both listening and articulating, and conveying sentiments effectively. Simultaneously, focusing on the audio-visual modalities within human-computer interaction, this research explores methods for con-structing interactive feedback in auditory and visual modalities within real hu-man-computer dialog scenarios. This aims to synchronize textual, verbal, and visual expressions in human-computer interaction, enhancing its naturalness, improving user experience, and augmenting satisfaction and pleasure during interaction. The research contributions are as follows: Introducing a method that robustly identifies user emotional states in real hu-man-computer speech dialogue scenarios through the utilization of local and global attention mechanisms. This method generates robust and distinguishable representa-tions of speech emotion, thereby enhancing the robustness and accuracy of speech emotion recognition systems in authentic dialogue scenarios.
In an era of rapid development in digital technology, the Cyberpunk style finds in-creasingly broad applications in various artistic domains, greatly appealing to the younger generation. Compared to the well-developed research on the Cyberpunk lit-erary genre, there is still a lack of a comprehensive theoretical framework for study-ing Cyberpunk style visual imagery, leaving ample room for exploration across inter-disciplinary media expressions. Simultaneously, with the ongoing digitalization and smartification trends in the new energy vehicle industry, the user base for new energy vehicles is becoming younger, with a growing demand for novel driving experiences. Currently, personalized design in new energy vehicles mainly focuses on exterior aesthetics, with limited research on dashboard interface design.
The construction of a natural interactive human-computer interaction has become an integral component of intelligent system development, constituting a core subject within the field of human-computer interaction. Grounded in the utilization of human perception theories, this study proposes a robust method for speech emotion recognition and a model for inferring user emotional state changes, thereby achieving a hu-man-computer interaction experience characterized by both listening and articulating, and conveying sentiments effectively. Simultaneously, focusing on the audio-visual modalities within human-computer interaction, this research explores methods for con-structing interactive feedback in auditory and visual modalities within real hu-man-computer dialog scenarios. This aims to synchronize textual, verbal, and visual expressions in human-computer interaction, enhancing its naturalness, improving user experience, and augmenting satisfaction and pleasure during interaction. The research contributions are as follows: Introducing a method that robustly identifies user emotional states in real hu-man-computer speech dialogue scenarios through the utilization of local and global attention mechanisms. This method generates robust and distinguishable representa-tions of speech emotion, thereby enhancing the robustness and accuracy of speech emotion recognition systems in authentic dialogue scenarios.
The automotive industry is experiencing a significant technological shift, driven by electrification, connectivity, intelligence, sharing, and the trend towards “software-defined cars.” With this transformation, the traditional car cabin is evolving into a digital, intelligent, and mobile smart terminal that prioritizes passenger-centric design and data fusion. The design of in-car interaction has become essential in creating engaging, emotional, and humanized user experiences. Future success for traditional car manufacturers lies in developing effective communication methods and context for the intelligent car cabin while addressing relevant issues.
With the continuous development of social economy and the improvement of computer science, communication engineering and electronic engineering, automo-biles are also gradually transforming from mechanical products driven by internal combustion engines to intelligent products driven by electricity. The electrification and intelligence of automobiles have brought new problems to society: on the one hand, electrically driven vehicles have lower operating noise, which makes pedestri-ans’ perception of vehicles weakened; on the other hand, with the deepening of intel-ligence, the control of vehicles will gradually be yielded from drivers to vehicles, which will largely cause the lack of human-vehicle trust. If these two problems are not solved, they will largely affect the efficiency of future road traffic and even bring potential danger. Therefore, it is necessary to explore a vehicle external sound effect as the external interaction interface of future vehicles to improve human-vehicle per-ception and enhance human-vehicle mutual trust. This paper takes the external sound design of quiet vehicles as the starting point, and divides the external sound design of vehicles into two aspects: quality design and functional design through literature research and combing of sound design related theories and methods. In the research of quality sense design, the paper explores the sound quality categories suitable for quiet vehicles based on human perception of sound quality, and realizes the decomposition of quality sense design elements through psychoacoustic experiments, and constructs the relevant design models, which provides theoretical guidance for the design of quality sense of exterior sound effects of quiet vehicles. In the functional design research, this paper conducted an in-depth investigation and study of human-vehicle conflict based on China’s road en-vironment and traffic participants, extracted a total of four categories and six types of human-vehicle interaction needs, and accordingly designed, optimized and verified the interaction information, and explored the design strategy of functional sound ef-fects.
This report investigates the role of foreign direct investment (FDI) in helping developing countries participate in global value chains (GVCs). It combines the perspectives and strategies from three types of players: multinational corporations, domestic firms and governments. It aims to provide practical guidance for developing countries to develop strategies that use FDI to strengthen GVC participation and upgrading. The report has six main chapters: 1. FDI and GVCs. Assesses the trade-investment nexus and analyzes the effect of FDI in countries’ GVC participation and upgrading at the country level. 2. MNCs shape GVC development. Highlights MNCs' contribution to global economy and how their business strategies shape the evolution of GVCs. The chapter also compares MNCs' business strategies in terms of outsourcing and offshoring, risk mitigation and increasing market power across GVC archetypes. 3. Domestic firm perspectives on GVC participation. Looks at the various paths domestic firms can take to internationalize their production and trade. Investigates domestic firm characteristics that predict higher GVC participation, and the effect of GVC participation on firm performance. 4. Investment policy and promotion: what is in a government’s toolbox? Summarizes the various policy instruments governments have at their disposal to help attract MNCs to their country and facilitate GVC participation of domestic firms. 5. Integrating countries into GVCs. Draws on a range of case studies to illustrate how governments can develop coherent strategies and policy packages to integrate their countries into GVCs. 6. FDI and GVCs in the wake of COVID-19. Reflects the impact of COVID-19 on FDI and GVCs, the response from multinationals and suppliers, and the implications for GVC reconfiguration. In addition, there are seven case studies that offer more nuanced analysis on the GVC participation in selected countries and sectors: • Five qualitative case studies: Five countries have been selected that managed to use FDI to stimulate GVC participation using a range of approaches. By design, these five countries also cover five different GVC archetypes. These countries are: (1) Kenya (horticulture); (2) Dominican Republic (textiles); (3) Mauritius (tourism); (4) Malaysia (electronics); (5) China (software). • Two quantitative case studies: Rwanda, West-Bengal (India). These use a combination of firm- and transaction level datasets to study firm-level dynamics that explain the role of multinational and domestic firms across GVCs.
This monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS). Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature.
This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
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