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Powerful and economic sensors such as high definition cameras and corresponding recognition software have become readily available, e.g. for face and motion recognition. However, designing user interfaces for robots, phones and computers that facilitate a seamless, intuitive, and apparently effortless communication as between humans is still highly challenging. This has shifted the focus from developing ever faster and higher resolution sensors to interpreting available sensor data for understanding social signals and recognising users' intentions. Psychologists, Ethnologists, Linguists and Sociologists have investigated social behaviour in human-human interaction. But their findings are rarely applied in the human-robot interaction domain. Instead, robot designers tend to rely on either proof-of-concept or machine learning based methods. In proving the concept, developers effectively demonstrate that users are able to adapt to robots deployed in the public space. Typically, an initial period of collecting human-robot interaction data is used for identifying frequently occurring problems. These are then addressed by adjusting the interaction policies on the basis of the collected data. However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. However, this brute-force approach ignores the possibility that some signals or modalities are superfluous or even disruptive in intention recognition. Furthermore, this method is very sensitive to peculiarities of the training data. In sum, both methods cannot reliably support natural interaction as they crucially depend on an accurate model of human intention recognition. Therefore, approaches to social robotics from engineers and computer scientists urgently have to be informed by studies of intention recognition in natural human-human communication. Combining the investigation of natural human behaviour and the design of computer and robot interfaces can significantly improve the usability of modern technology. For example, robots will be easier to use by a broad public if they can interpret the social signals that users spontaneously produce for conveying their intentions anyway. By correctly identifying and even anticipating the user's intention, the user will perceive that the system truly understands her/his needs. Vice versa, if a robot produces socially appropriate signals, it will be easier for its users to understand the robot's intentions. Furthermore, studying natural behaviour as a basis for controlling robots and other devices results in greater robustness, responsiveness and approachability. Thus, we welcome submissions that (a) investigate how relevant social signals can be identified in human behaviour, (b) investigate the meaning of social signals in a specific context or task, (c) identify the minimal set of intentions for describing a context or task, (d) demonstrate how insights from the analysis of social behaviour can improve a robot's capabilities, or (e) demonstrate how a robot can make itself more understandable to the user by producing more human-like social signals.

Social signals --- social communication --- Intention recognition --- human-robot interaction --- human-human interaction --- experimental methods --- Interaction design

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This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.

Human-Robot-Cooperation, Dynamic Systems, Intention Recognition, (Conditional) Density Estimation, Regularization

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Widening International Entrepreneurship Research addresses several unresolved questions and thus moves forward by acknowledging that future international entrepreneurship research needs to find new ways to further enrich its knowledge. The book presents the results of six studies that explain how human resource management contributes to the strategy of early internationalization, compares different experiences in several countries, assesses innovation in international entrepreneurship education teaching, analyses the effects of entrepreneurial education on entrepreneurial skills, and provides new knowledge about the effect of digitalization on firm performance in international markets. This collection of papers reviews the main factors that have been identified as having a high explanatory power at different levels.

skills --- higher education --- entrepreneurship --- leadership --- teams --- Australian Indigenous entrepreneurship --- entrepreneurship education --- and entrepreneurship education ecosystems --- market orientation --- marketing capability --- digitalization --- internationalization --- SME --- international entrepreneurship education --- Global Board Game project --- entrepreneurial intention --- active learning --- Community of Practice --- international student teams --- international entrepreneurship --- emerging markets --- cross-country --- entrepreneurial orientation --- global mindset --- institutional theory --- mindset theory --- entrepreneurial cognition --- international new venture --- born global --- employee entrepreneurial behavior --- entrepreneurial orientation --- intrapreneurship --- human resource management --- human resource practices

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Nutrients is planning a Special Issue focusing on beverages and ingestive behavior. This Special Issue will focus on research related to all aspects of beverage consumption and post-ingestive consequences. There continues to be much controversy surrounding the influence of beverage choice on health outcomes. Research investigating the impact of beverage choice has on human health and post-ingestive consequences continue to grow. We know from the growing body of literature that beverage choice has a substantial impact on metabolism, food reinforcement and eating behaviors.

beverages --- sugar sweetened beverages --- overweight --- obesity --- (conjugated) plant sterols --- beverages --- cholesterol-lowering --- ergosterol --- anti-aging --- coronary heart disease --- health claims --- anti-inflammatory --- anti-carcinogenic --- toddlers --- preschoolers --- mothers --- parents --- sugar-sweetened beverages --- Repertory Grid Technique --- Laddering Technique --- qualitative methods --- Australia --- electroencephalography --- non-nutritive sweeteners --- sweet taste --- visual food cues --- food intake --- ad libitum buffet --- parenting practices --- sugar-sweetened beverages --- gain- and loss-framed messages --- self-determination --- planned behavior --- intention --- beverage consumption --- sport --- beverage consumption --- water consumption --- total water intake --- total energy intake --- adults --- Balearic Islands --- sugar-sweetened beverages --- children --- parents --- social cognitive theory --- nutrition education --- health promotion --- cardiovascular-risk-factors --- overweight --- obesity --- fermented-beverage --- lipoprotein-oxidation --- HDL-antioxidant-capacity --- cholesterol-efflux --- endothelial-function --- type 1 diabetes --- beta-casein --- cows’ milk --- epigenetics --- NOD mice --- gastric emptying --- gamma-scintigraphy --- yogurt --- in vitro digestion --- casein --- whey protein --- satiety

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One of the major knowledge challenges in the domain of Resilient and Sustainable Food Systems refers to the integration of perspectives on consumption, patterns that support public health, inclusive value chains, and environmentally sustainable food production. While there is a long record of the analysis of separate interventions, this special issue generates integrated insights, provides cross-cutting perspectives, and outlines practical and policy solutions that address these global challenges.The collection of papers promotes the view that sustainable food systems require thorough insights into the structure and dynamics of agri-food production systems, the drivers for integrating food value chains and markets, and key incentives for supporting healthier consumer choices. On the production side, potential linkages between agricultural commercialization and intensification and their effects for food security and nutritional outcomes are analyzed. Value Chains are assessed for their contribution to improving exchange networks and markets for food products that simultaneously support efficiency, circularity, and responsiveness. Individual motives and market structures for food consumption need to be understood in order to be able to outline suitable incentives to enhance healthy dietary choice.The contributed papers focus on interfaces between food system activities and processes of adaptive change that are critical for overcoming key constraints and trade-offs between sustainable food and healthy diets.

agricultural impacts --- climate change impacts --- integrated assessment model --- CGE model --- Ostrea edulis --- native oyster restoration --- North Sea --- site selection --- pilot study --- offshore wind farms --- sustainability --- food systems --- nutrition --- public-private cooperation --- corporate values --- sanitary control --- food safety --- prosperity --- sustainable development --- alternative agri-food networks --- transition theories --- grassroots innovations --- socio-technical systems --- agroecology --- ecovillages --- social movements --- certification --- organic agriculture --- Participatory Guarantee Systems --- Spain --- alternative certification systems --- food systems --- metrics --- interdisciplinarity --- sustainable food and nutrition security --- food system assessment --- participatory approach --- SUSFANS --- agribusiness cluster --- commercialization --- sustainable intensification --- dairy value chain --- farming system --- service arrangements --- Ethiopia --- Kenya --- sustainable diets --- diet adoption --- sustainable food system --- intention-behavior gap --- citizen participation --- innovation workshop --- Agricultural commercialization --- food and nutrition security --- salutogenesis --- life course perspective --- food systems --- multi-level --- positive deviance --- Myanmar --- social innovation --- agricultural commercialization --- nutrition sensitive transformation --- Myanmar --- vegetable consumption --- food choice motives --- knowledge --- self-efficacy --- socio-economic classes --- food environment --- Nigeria --- sustainable development goals --- sustainability assessment --- agricultural sustainability --- food security --- LCA broadening --- LCA deepening --- food systems --- interdisciplinary research --- feedbacks &amp --- interlinkages --- food policy --- 3I Approach --- value chain development --- participatory approach --- context-specific interventions --- behavioural change --- postharvest losses --- tomato --- Nigeria --- supply chain --- raffia basket --- plastic crate --- systems approach --- conceptual framework --- food loss practices --- food loss causes --- food loss solutions --- supply-chain stages --- literature --- socio-economic indicators --- tomato --- Nigeria --- adoption --- conservation agriculture --- social capital --- count outcome models --- pca --- marginal treatment effects --- Nigeria --- food security --- CGE model --- nutrition --- diet diversity --- land substitution --- agricultural intensification --- baseline projections --- commercialization --- Vietnam --- food system --- fertilizer use --- caloric intake --- dietary diversity Vietnam Living Standards Survey (VLSS)