Arianna Maiorani – författare

This innovative work introduces the interdisciplinary field of research of kinesemiotics, offering a new adaptable model and means of analysis for understanding forms of movement-based communication, such as dance, that use a codified language shared by a community of users.

It begins with a theoretical overview and review of existing literature on the main approaches to movement-based communication, specifically dance, which underpin kinesemiotics as an area of study. It reaffirms previous work which established dance as a form of embodied communication in that it encompasses a wide range of semiotic styles and forms shared by communities of "speakers." In collaboration with the English National Ballet, Maiorani employs the genre of ballet as a means through which to understand and analyse some of the key concepts of kinesemiotics, mainly that of space as a semiotic dimension and "motivated movement," or movement with meaning. Supported by automated movement recognition tools from the fields of bio-robotics engineering and computer science, Maiorani argues for ballet’s capacity, when movements are projected into meaningful space, to extend beyond sequences of physical movements to become a meaning making practice.

Kinesemiotics advances interdisciplinary research in the fields of social semiotics, media and communication, multimodality, linguistics, and performance studies and will be of particular interest to students and scholars in these areas.

This innovative work introduces the interdisciplinary field of research of kinesemiotics, offering a new adaptable model and means of analysis for understanding forms of movement-based communication, such as dance, that use a codified language shared by a community of users.

It begins with a theoretical overview and review of existing literature on the main approaches to movement-based communication, specifically dance, which underpin kinesemiotics as an area of study. It reaffirms previous work which established dance as a form of embodied communication in that it encompasses a wide range of semiotic styles and forms shared by communities of "speakers." In collaboration with the English National Ballet, Maiorani employs the genre of ballet as a means through which to understand and analyse some of the key concepts of kinesemiotics, mainly that of space as a semiotic dimension and "motivated movement," or movement with meaning. Supported by automated movement recognition tools from the fields of bio-robotics engineering and computer science, Maiorani argues for ballet’s capacity, when movements are projected into meaningful space, to extend beyond sequences of physical movements to become a meaning making practice.

Kinesemiotics advances interdisciplinary research in the fields of social semiotics, media and communication, multimodality, linguistics, and performance studies and will be of particular interest to students and scholars in these areas.

This volume develops a new multimodal semiotic approach to the study of communication, examining how multimodal discourse is construed transmedially and interculturally and how new technologies and cultural stances inform communicative contexts across the world.

It contributes to current theoretical debates in the disciplines of semiotics, linguistics, multimodality, and pragmatics, as well as those aspects of pedagogy and film studies that engage with the notions of text and narrative by addressing questions such as: How do we study multimedia communication? How do we incorporate the impact of new media technologies into the study of Linguistics and Semiotics? How do we construe culture in modern communication? How useful are the current multidisciplinary approaches to multimodal communication?

Through the analysis of specific case studies that are developed within diverse academic disciplines and which draw on a range of theoretical frameworks, the goal of this book is to provide a basis for an overarching framework that can be applied by scholars and students with different academic and cultural backgrounds.