Using social robots to study abnormal social development

Social robots recognize and respond to human social cues with appropriate behaviors. Social robots, and the technology used in their construction, can be unique tools in the study of abnormal social development. Autism is a pervasive developmental disorder that is characterized by social and communicative impairments. Based on three years of integration and immersion with a clinical research group which performs more than 130 diagnostic evaluations of children for autism per year, this paper discusses how social robots will make an impact on the ways in which we diagnose, treat, and understand autism

VISUAL COMMUNICATION IN EDUCATIONAL ROBOTICS

В статье рассматриваются виды и средства визуальной коммуникации в обучении образовательной робототехнике.This article discusses the types and means of visual communication in the training of educational robotics.424-42

WORD CLOUD AS INSTRUMENT OF VISUALIZATION OF BIBLIOMETRIC DATA

Статья посвящена вопросам визуализации библиометрических данных. Рассмотрены возможности использования облака ключевых слов в процессе тематического анализа предметной области. Описан алгоритм создания облака слов на примере массива публикаций по теме "Фирменный стиль".Article is devoted to the questions of visualization the bibliometric data. The possibilities of use of a keywords cloud of in the course of the thematic analysis of subject domain are considered. The algorithm of creation of a cloud of words on the example of publications on the subject "Corporate style" is described.427-43

Attentional mechanisms for socially interactive robots – a survey

This review intends to provide an overview of the state of the art in the modeling and implementation of automatic attentional mechanisms for socially interactive robots. Humans assess and exhibit intentionality by resorting to multisensory processes that are deeply rooted within low-level automatic attention-related mechanisms of the brain. For robots to engage with humans properly, they should also be equipped with similar capabilities. Joint attention, the precursor of many fundamental types of social interactions, has been an important focus of research in the past decade and a half, therefore providing the perfect backdrop for assessing the current status of state-of-the-art automatic attentional-based solutions. Consequently, we propose to review the influence of these mechanisms in the context of social interaction in cutting-edge research work on joint attention. This will be achieved by summarizing the contributions already made in these matters in robotic cognitive systems research, by identifying the main scientific issues to be addressed by these contributions and analyzing how successful they have been in this respect, and by consequently drawing conclusions that may suggest a roadmap for future successful research efforts