Towards an Aesthetics of Touch

Lauren Hayes, Jessica Rajko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

In this paper we explore an interdisciplinary approach towards an aesthetics of touch. Research into the role of the body has become increasingly prevalent in fields ranging from philosophy of mind to human-computer interaction. At the same time, haptic technology has becoming ubiquitous within personalized devices and wearables. Despite this, touch remains largely under-explored within contemporary aesthetics. We firstly outline what might be gained from artistic practices that acknowledge a multisensory model of perception. Secondly, we discuss the difficulties of arriving at a standardized taxonomy for touch-based aesthetics and why this endeavor may not be fruitful. Finally, we outline an approach based on first-person felt experiences, drawing on creative practice research involving computational technology within the fields of somatics, dance, and music.

Original languageEnglish (US)
Title of host publicationMOCO 2017 - Proceedings of the 4th International Conference on Movement Computing
PublisherAssociation for Computing Machinery
VolumePart F129150
ISBN (Electronic)1595930361, 9781450352093
DOIs
StatePublished - Jun 28 2017
Event4th International Conference on Movement Computing, MOCO 2017 - London, United Kingdom
Duration: Jun 28 2017Jun 30 2017

Other

Other4th International Conference on Movement Computing, MOCO 2017
CountryUnited Kingdom
CityLondon
Period6/28/176/30/17

Keywords

  • Aesthetics
  • Haptics
  • Music
  • Performance
  • Somatic practice
  • Touch

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Hayes, L., & Rajko, J. (2017). Towards an Aesthetics of Touch. In MOCO 2017 - Proceedings of the 4th International Conference on Movement Computing (Vol. Part F129150). [3078028] Association for Computing Machinery. https://doi.org/10.1145/3077981.3078028