CINDR: A proposed framework for ethical systems in video games

Scavarelli, Anthony; Arya, Ali

doi:10.1109/gem.2014.7048084

Cited by 1 publication

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compiling a taxonomy with a clear genres division involves much subjectivity due to the extreme variety of gameplay: the works of Berens and Howard [45] and Carlá [46] suggest classifications based on historical period and technology platforms. Khaleghi and Lugmayr [47], and Scavarelli and Arya [12], introduce respectively surveys and a game ethics framework (tested on Fable and Super Mario Bros.) to classify according to genre, technologies and gameplay features.…”

Section: Gameplay and Genresmentioning

confidence: 99%

“…Nowadays the videogame represents a medium that requests high skilled workers [10] and budgets that can rival with cinema, music, comics and literature industry. Videogames production is a large business [11] esti-mated in 93$ billion in 2013 [12]. The development cost of Call of Duty Modern Warfare 2 was between 40$ million -50$ million, with a marketing and release budget of $200 million [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods

2016

View full text Add to dashboard Cite

Game science has become a research field, which attracts industry attention due to a worldwide rich sell-market. To understand the player experience, concepts like flow or boredom mental states require formalization and empirical investigation, taking advantage of the objective data that psychophysiological methods like electroencephalography (EEG) can provide. This work studies the affective ludology and shows two different game levels for Neverwinter Nights 2 developed with the aim to manipulate emotions; two sets of affective design guidelines are presented, with a rigorous formalization that considers the characteristics of role-playing genre and its specific gameplay. An empirical investigation with a brain–computer interface headset has been conducted: by extracting numerical data features, machine learning techniques classify the different activities of the gaming sessions (task and events) to verify if their design differentiation coincides with the affective one. The observed results, also supported by subjective questionnaires data, confirm the goodness of the proposed guidelines, suggesting that this evaluation methodology could be extended to other evaluation tasks

show abstract

Section: Gameplay and Genresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%