Exploring Approaches to the Generation and Representation of Heritage Artefacts in Video Game Contexts
Bibliographic record
Abstract
Video games can allow players to explore environments, which are representative of, or contain elements of physical world cultures, for example, allowing a player to explore ancient Egypt in Pharaoh (Impressions Games, 1999, Pharaoh [PC Game]. Sierra Entertainment) or present day Chicago in Watchdogs (Ubisoft Montreal, 2014, [PlayStation 4 game]. Guildford), etc. Game designers need to make design decisions regarding how these environments are going to be represented, including which items are going to be utilized, how they are going to be used in the game, and the level of detail to which they are going to be presented. These decisions can lead to concerns regarding how particular cultures are represented. This article describes research undertaken to investigate the design process with respect to the inclusion of physical world cultures in virtual game environments. Within the study approaches used (including processes and methods) by game designers in the stages of conceptualization, design and delivery are explored. In addition, these are contextualized through an understanding of designer attitudes towards the inclusion of items with cultural meaning and their perspectives on the importance of cultural representation within video games. This involved interviewing eight video game designers from global contexts within the industry, all with the experience of generating cultural items for inclusion in video game contexts. These interviews were structured with a focus on exploring views, experiences, beliefs and motivations of the individuals and of their working teams. Analysis was carried out through the use of a methodological process of analytical induction with the coding of particular variables within each interview transcript, and the transformation of the complete set of codings into a set of conceptual statements. This article relates these conceptual statements to earlier work regarding close readings of particular video games and discusses the relationship between design processes (facilitated through the interviews) and realized game worlds (facilitated through the close readings).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".