Gaming mirrors at play through ludic data-selves

Enrico Gandolfi

Academicus International Scientific Journal, 2017, issue 16, 88-104

Abstract: The focus of the article is on data-self technology in digital entertainment - virtual entities that replicate and/or are influenced by players� behaviors and actions, working as agential mirrors on the screen. Little efforts have been done in investigating their potential in social research and educational technology; however, data-selves can serve as promising self-revealing tools toward personal identities and narrations. In order to enlighten their effectiveness, a multidisciplinary framework led by the core concepts of �narrative identity� and �discursive-practical consciousness� is advanced. The proposal has been tested (pre-post interviews and play sessions) with an empirical exploration involving n:32 participants and the video games Black and White 2 and Forza: Motorsprint 5, which include data-self features. Results show that this technology can make a difference in engaging and stimulating subjects� interest and feedback, but further researches are needed to deepen its scope and range of application.

Keywords: data-self; narrative identity; qualitative methods; personal narration (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://academicus.edu.al/nr16/Academicus-MMXVII-16-088-104.pdf (application/pdf)
https://academicus.edu.al/nr16/Academicus-MMXVII-16-088-104.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etc:journl:y:2017:i:16:p:88-104

Access Statistics for this article

Academicus International Scientific Journal is currently edited by Arta Musaraj

More articles in Academicus International Scientific Journal from Entrepreneurship Training Center Albania Contact information at EDIRC.
Bibliographic data for series maintained by Gabor Vasmatics ().