Domain Knowledge and Adaptive Serious Games: Exploring the Relationship of Learner Ability and Affect Adaptability

Autor:	Ajay Bansal, Roy Levy, Ashish Amresh, Scotty D. Craig, Vipin Verma
Rok vydání:	2021
Předmět:	Computer science media_common.quotation_subject ComputingMilieux_PERSONALCOMPUTING Boredom Serious game Affect (psychology) Adaptability Computer Science Applications Education Human–computer interaction medicine Domain knowledge medicine.symptom media_common
Zdroj:	Journal of Educational Computing Research. 60:406-432
ISSN:	1541-4140 0735-6331
DOI:	10.1177/07356331211031287
Popis:	Detection and responding to a player’s affect are important for serious games. A method for this purpose was tested within Chem-o-crypt, a game that teaches chemical equation balancing. The game automatically detects boredom, flow, and frustration using the Affdex SDK from Affectiva. The sensed affective state is then used to adapt the game play in an attempt to engage the player in the game. A randomized controlled experiment incorporating a Dynamic Bayesian Network that compared results from groups with the affect-sensitive states vs those without revealed that measuring affect and adapting the game improved learning for low domain-knowledge participants.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ec757f8658e3c7aa91e4e73043a7248f https://doi.org/10.1177/07356331211031287 Zobrazit plný text záznamu