11,927 research outputs found

    Special issue on smart interactions in cyber-physical systems: Humans, agents, robots, machines, and sensors

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    In recent years, there has been increasing interaction between humans and non‐human systems as we move further beyond the industrial age, the information age, and as we move into the fourth‐generation society. The ability to distinguish between human and non‐human capabilities has become more difficult to discern. Given this, it is common that cyber‐physical systems (CPSs) are rapidly integrated with human functionality, and humans have become increasingly dependent on CPSs to perform their daily routines.The constant indicators of a future where human and non‐human CPSs relationships consistently interact and where they allow each other to navigate through a set of non‐trivial goals is an interesting and rich area of research, discovery, and practical work area. The evidence of con- vergence has rapidly gained clarity, demonstrating that we can use complex combinations of sensors, artificial intelli- gence, and data to augment human life and knowledge. To expand the knowledge in this area, we should explain how to model, design, validate, implement, and experiment with these complex systems of interaction, communication, and networking, which will be developed and explored in this special issue. This special issue will include ideas of the future that are relevant for understanding, discerning, and developing the relationship between humans and non‐ human CPSs as well as the practical nature of systems that facilitate the integration between humans, agents, robots, machines, and sensors (HARMS).Fil: Kim, Donghan. Kyung Hee University;Fil: Rodriguez, Sebastian Alberto. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Matson, Eric T.. Purdue University; Estados UnidosFil: Kim, Gerard Jounghyun. Korea University

    Special Issue Editorial: Adaptive and Intelligent Gamification Design

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    This editorial provides an overview of the three accepted papers for the AIS THCI special issue on adaptive and intelligent gamification designs. The first paper examines conversational agents and how one can use gamification to make the design more engaging. The second study focuses on mobile fitness apps and analyzes the role that personality plays in apps and game designs. Finally, the third paper examines gamification in a virtual laboratory environment. Aligned with current work, we present future research directions that involve generative AI, the metaverse, and a shift in gamification research and practice in the future

    Guest editorial: Marco Somalvico memorial issue

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    An ontology-based system to support agent-based simulation of building use

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    The prediction and evaluation of future building response to its intended use and users is a complex task that designers have to face during the design process. As matter of fact, few methods exist that can help designers in such task, despite its importance in the definition of the building quality; norms and regulations, personal designer's experience, post-occupancy evaluation have shown their limit to provide predictive models of the complex phenomenon of human behaviour in built environments. With the increasing of computing power, virtual simulation techniques have been introduced in building design to control, manage and predict complex systems of building performances such as its energy or structural behaviour, but not to representation of buildings while-in-use. The Agent-Based Modelling and Simulation (ABMS) paradigm has been applied in building design to simulation of specific aspects of human behaviour and in specific occurrences (for instance in fire egress simulations), while a more extensive representation of users actions, behaviours, and activities is still missing. In order to overcome this lack, in this paper we propose to support agent-based simulation with a knowledge base, developed by means of ontologies and able to provide a structured system of data about human-building interaction, useful as start hypotheses for Agent-based Simulation. For its development, we rely on the general template of building knowledge management already proposed by the research group (Carrara et al., 2009), extending it to representation of the whole system users-built environment. The proposed general template, configured by the meaning - properties - rules structure, allows the formalization of users/agents entities, whose parameter, attributes and behavioural rules can encode several 'aspects' of real users and their interactions with the other entities (building components, furniture, other people) in a built environment. Currently, a first application has been developed dealing with the virtually testing of a small hospital ward, in order to evaluate the reliability and the potentiality of such approach. COPYRIGHT: © 2012 The authors

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