Shakespeare-VR

This video describes the Shakespeare-VR project, a virtual reality education project that brings students face to face with professional actors performing soliloquies in a replica of Shakespeare’s Blackfriars Playhouse. It aims to introduce viewers to the conditions that Shakespeare had in mind when he wrote his plays. Virtual reality leads to a comprehensive and immersive experience that cannot be replicated in any other way.

Further Reading and Resources

Virtual Reality, 3D Modeling, Digitization

Posted by

Dr. Stephen Wittek is Assistant Professor of Shakespeare studies in the Literary and Cultural Studies division of the CMU English dept. His research interests focus on early modern drama, media theory, and digital humanities. He is the author of The Media Players: Shakespeare, Middleton, Jonson, and the Idea of News (University of Michigan Press, 2015). His current research focuses on theater and the culture of religious conversion in post-Reformation England. Other projects of note include a volume of essays entitled Performing Conversion: Urbanism, Theatre, and the Transformation of the Early Modern World (co-edited with José R. Jouve-Martin), a new edition of The Merchant of Venice for Internet Shakespeare Editions (co-edited with Janelle Jenstad), the virtual reality education project, Shakepeare-VR, and DREaM, a digital platform for performing textual analytics on a massive corpus of early modern texts (with Matthew Milner and Stéfan Sinclair).

Similar Projects by Discipline

English

How to grow data forests with XML trees

Elisa Beshero-Bondar

eXtensible Markup Language (XML).

Stylometry and Authorship Analysis

Patrick Juola

Machine learning to identify authors.

DocuScope

David Kaufer

Computer Support for Close Reading and Textual Analysis in DH.

Logistic Regression

Matthew J. Lavin

Machine learning for literary analysis.

Metadata Heatmaps for Distant Reading

Benjamin Miller

Distant reading of a textual corpus.

The Historical TV Guide

Kathy M. Newman, Steven Gotzler

Using digitized text to study television history.

Data Visualization: Tableau

Emma Slayton

Data visualization with Tableau.

Literature

How to grow data forests with XML trees

Elisa Beshero-Bondar

eXtensible Markup Language (XML).

Stylometry and Authorship Analysis

Patrick Juola

Machine learning to identify authors.

DocuScope

David Kaufer

Computer Support for Close Reading and Textual Analysis in DH.

Logistic Regression

Matthew J. Lavin

Machine learning for literary analysis.

Metadata Heatmaps for Distant Reading

Benjamin Miller

Distant reading of a textual corpus.

Beyond the Ant Brotherhood

Tatyana Gershkovich

Dynamic digital archives of writings and timelines.

The Latin American Comics Archive (LACA)

Felipe Gómez

Online archives in comic book markup language.

No other videos for this discipline yet.

LCS

Stylometry and Authorship Analysis

Patrick Juola

Machine learning to identify authors.

The Historical TV Guide

Kathy M. Newman, Steven Gotzler

Using digitized text to study television history.

Similar Projects by Topics

Virtual Reality

No other videos for this topic yet.

3D Modeling

No other videos for this topic yet.

Digitization

The Historical TV Guide

Kathy M. Newman, Steven Gotzler

Using digitized text to study television history.

Last updated: August 29, 2019
https://github.com/cmu-lib/dhlg/blob/master/_projects/wittek.md