5 research outputs found

    Integrated Process Planning and Scheduling in Commercial Smart Kitchens

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    This paper describes the possibility of applying a generic, cloud-based Optimisation as a Service facility to food cooking planning and scheduling in a commercial kitchen. We propose a chromosome encoding and customisation of the classic MOEA/D multi-objective genetic algorithm. The applicability of the proposed approach is evaluated experimentally for two scenarios different with respect to the number of cooking appliances and the amount of the ordered food. The proposed system managed to determine the trade-offs between cooking time, energy dissipation and food quality

    Intelligent design techniques towards implicit and explicit learning: a systematic review

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    Artificial intelligence techniques are advancing in areas like health, cooking, education, and agriculture, aiming to educate users and enhance their knowledge. This survey reviews design tools and their features, introducing a classification of implicit and explicit features from user interactions. An analysis of 35 studies reveals the application of these techniques, detailing knowledge storage, interaction types, algorithms, and evaluation methods. Key findings include the potential of techniques for both implicit and explicit learning, a lack of detailed information in some implementations, and a highlighted need for tools that educate novice software engineers about privacy through design IoT applications

    Computational Commensality: from theories to computational models for social food preparation and consumption in HCI

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    Food and eating are inherently social activities taking place, for example, around the dining table at home, in restaurants, or in public spaces. Enjoying eating with others, often referred to as “commensality,” positively affects mealtime in terms of, among other factors, food intake, food choice, and food satisfaction. In this paper we discuss the concept of “Computational Commensality,” that is, technology which computationally addresses various social aspects of food and eating. In the past few years, Human-Computer Interaction started to address how interactive technologies can improve mealtimes. However, the main focus has been made so far on improving the individual's experience, rather than considering the inherently social nature of food consumption. In this survey, we first present research from the field of social psychology on the social relevance of Food- and Eating-related Activities (F&EA). Then, we review existing computational models and technologies that can contribute, in the near future, to achieving Computational Commensality. We also discuss the related research challenges and indicate future applications of such new technology that can potentially improve F&EA from the commensality perspective
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