ARTICLE ANALYSIS

Analysis of article using Artificial Intelligence tools





Id 2254
Author Camuñas-García D.; Cáceres-Reche M.P.; Cambil-Hernández M.D.L.E.
Title Maximizing Engagement with Cultural Heritage through Video Games
Reference

Camuñas-García D.; Cáceres-Reche M.P.; Cambil-Hernández M.D.L.E. Maximizing Engagement with Cultural Heritage through Video Games,Sustainability (Switzerland) 15 3

Keywords cognition; cultural heritage; education; learning; university sector; videography
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147972671&doi=10.3390%2fsu15032350&partnerID=40&md5=c60e6c60731eda74b4f29bf8bcfe299e
Abstract This paper aims to provide a framework for creating and analyzing cultural heritage games, with the intention of maximizing players’ cognitive, emotional, and behavioral engagement with digital heritage. To achieve this, a set of game design characteristics was identified through semi-structured interviews with experts (n = 16) and subsequently validated through a discussion with university students (n = 19). Grounded theory was then applied to the comments of the experts to create a framework of ten fundamental characteristics, divided into three dimensions: cognitive, emotional, and behavioral. Additionally, an assessment of the literature was conducted to explain and support the inclusion of each game component. © 2023 by the authors.

Metodology

Technique

Keyword Find research methods used
Tentative Keyword Show Candidate Transition Variables for article (AI method)
Categories Find category for article (AI method)
Crossover theme Find social impact for article (AI method)
Wordcloud Show WordCloud from article (AI method)
Find semantically similar articles Find semantically similar articles (Semantic search)