Skip to search boxSkip to navigationSkip to main content

Game Cinematography: from Camera Control to Player Emotions

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 181-195

Publication milestones

  • Published - 2016

Publication status

Published - 2016

Publisher

Springer, United States, Germany

Book series

  • Book series name: Socio-Affective Computing
    Volume: 4
    ISSN: 2509-5706

ISBN (Electronic)

978-3-319-41316-7

Host publication title

Emotion in Games - Theory and Paxis

Abstract

Building on the definition of cinematography (Soanes and Stevenson, Oxford dictionary of English. Oxford University Press, Oxford/New York, 2005), game cinematography can be defined as the art of visualizing the content of a computer game. The relationship between game cinematography and its traditional counterpart is extremely tight as, in both cases, the aim of cinematography is to control the viewer’s perspective and affect his or her perception of the events represented. However, game events are not necessarily pre-scripted and player interaction has a major role on the quality of a game experience; therefore, the role of the camera and the challenges connected to it are different in game cinematography as the virtual camera has to both dynamically react to unexpected events to correctly convey the game story and take into consideration player actions and desires to support her interaction with the virtual world. This chapter provides an overview of the evolution of the research in virtual and game cinematography, ranging from its early focus on how to control and animate the virtual camera to support interaction to its relationship with player experience and emotions. Furthermore, we will show and discuss a number of emerging research directions.

Publication metrics