Research in ludolinguistics (language and gaming) often does not engage with how players respond to the language within videogames. This study explores prominent phraseology within a corpus of c.650,000 words collected from 11 Legend of Zelda games and how players respond to this. We discover that instructions (which enable developers to communicate gameplay mechanics) tend to use similar lexical bundles. We identify that these instructions are either direct or characterized. These lexical bundles are then used as the basis for materials in a questionnaire containing closed and open-ended questions. We first quantitatively explore participants’ (N = 49) preferences for different types of instruction, then qualitatively investigate their perceptions via open-ended responses. Our findings suggest a mix of overall preferences, but that each type of instruction is preferred in particular contexts. We conclude with a discussion of the findings and implications for game design.
BiberD.BarbieriF. (2007). Lexical bundles in university spoken and written registers. English for Specific Purposes, 26(3), 263–286. https://doi.org/10.1016/j.esp.2006.08.003
2.
BraithwaiteA. (2014). ‘Seriously, get out’: Feminists on the forums and the War (craft) on women. New Media & Society, 16(5), 703–718. https://doi.org/10.1177/1461444813489503
3.
CarterM.GibbsM.HarropM. (2012). Metagames, paragames and orthogames: A new vocabulary. Proceedings of the international conference on the foundations of digital games (pp. 11–17).
4.
DaricsE.KollerV. (2019). Social actors “to go”: An analytical toolkit to explore agency in business discourse and communication. Business and Professional Communication Quarterly, 82(2), 214–238. https://doi.org/10.1177/2329490619828367
5.
da Silva CorreiaM. (2007). The role of traditional/online educational games on the language teaching-learning process: A cognitive-constructive psycholinguistic perspective. ETEN 17. The Proceedings of the 17th Annual Conference of the European Teacher Education Network (pp. 50–55). ETEN (European Teacher Education Network).
6.
DaviesM. (2008-onwards). The Corpus of Contemporary American English (COCA): 560 million words, 1990-present. Retrieved March 28th, 2024, from https://www.english-corpora.org/coca/
7.
DixonD. H. (2024). Introducing the Single Player Offline Game Corpus (SPOC): A corpus of seven registers from digital role-playing games. Corpora, 19(1), 107–122. https://doi.org/10.3366/cor.2024.0300
8.
EllisN. C. (2019). Usage-based theories of construction grammar: Triangulating corpus linguistics and psycholinguistics. In EgbertJ.BakerP. L. (Eds.), Using corpus methods to triangulate linguistic analysis (pp. 239–267). Routledge.
9.
EnsslinA. (2012). The language of gaming. Palgrave.
10.
EnsslinA. (2015). Discourse of games. In TracyK.SandelT.IllieC. (Eds.), The International Encyclopedia of language and social interaction (pp. 1–6). Wiley.
11.
EnsslinA. (2022). Video games as complex narratives and embodied metalepsis. In DawsonP.MäkeläM. (Eds.), The Routledge companion to narrative theory (pp. 411–422). Routledge.
12.
GillingsM.MautnerG.BakerP. (2023). Corpus-assisted discourse studies. Cambridge University Press.
13.
GoorimoortheeT.CsipoA.CarletonS.EnsslinA. (2019). Language ideologies in videogame discourse: Forms of sociophonetic othering in accented character speech. In EnsslinA.BalteiroI. (Eds.), Approaches to videogame discourse: Lexis, interaction, textuality (pp. 269–287). Bloomsbury.
14.
GrahamS.DuttS. (2019). “Watch the potty mouth”: Negotiating impoliteness in online gaming. In EnsslinA.BalteiroI. (Eds.), Approaches to videogame discourse: Lexis, interaction, textuality (pp. 201–225). Bloomsbury.
15.
GriesS. T. (2017). Ten lectures on quantitative approaches in cognitive linguistics. Brill.
16.
GriesS. T.WulffS. (2009). Psycholinguistic and corpus-linguistic evidence for L2 constructions. Annual Review of Cognitive Linguistics, 7(1), 163–186. https://doi.org/10.1075/arcl.7.07gri
HeritageF. (2021). Language, gender, and videogames: Using corpora to analyse the representation of gender in fantasy videogames. Palgrave Macmillan.
19.
HeritageF. (2022a). Politics, pronouns and the players: Examining how videogame players react to the inclusion of a transgender character in World of Warcraft. Gender & Language, 16(1), 26–51. https://doi.org/10.1558/genl.20250
20.
HeritageF. (2022b). Magical women: Representations of female characters in the Witcher video game series. Discourse, Context & Media, 49, 100627. https://doi.org/10.1016/j.dcm.2022.100627
21.
HeritageF. (2025a). “Plow her well. Show her you're a man”: Language, sex, and heteronormativity from a diachronic perspective in The Witcher videogame series. In WysockiM.ShookS. (Eds.), The Bloomsbury handbook of sex and sexuality in game studies (p. 207). Bloomsbury.
22.
HeritageF. (2025b). Social identity and implicature: Exploring the pragmatics of transgender coming out narratives in videogames. Journal of Pragmatics, 246, 158–169. https://doi.org/10.1016/j.pragma.2025.07.007
23.
HeritageF.HumphreysC. (2024). Are videogames represented as violent in the press? Hypothesis testing using MD-CADS and corpora of UK newspapers from 2000 and 2020. Corpora, 19(2), 217–240. https://doi.org/10.3366/cor.2024.0308
24.
HunstonS. (2011). Corpus approaches to evaluation: Phraseology and evaluative language. Routledge.
25.
KirklandE. (2009). Masculinity in video games: The gendered gameplay of silent hill. Camera Obscura: Feminism, Culture, and Media Studies, 24(2(71)), 161–183. https://doi.org/10.1215/02705346-2009-006
MathôtS.SchreijD.TheeuwesJ. (2012). Opensesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. https://doi.org/10.3758/s13428-011-0168-7
29.
R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved March 28th, 2024, from https://www.R-project.org/
30.
RennickS.ClintonM.IoannidouE.OhL.ClooneyC.TE.HealyE.RobertsS. G. (2023). Gender bias in video game dialogue. Royal Society Open Science, 10(5), 221095. https://doi.org/10.1098/rsos.221095
RohmahN. A. (2024). English as a second language acquisition from school activities and online video games. Modality Journal: International Journal of Linguistics and Literature, 4(1), 73–85. https://doi.org/10.30983/mj.v4i1.8373
35.
ScottM. (2016). WordSmith tools version 7. Lexical Analysis Software.
36.
Tognini-BonelliE. (2001). Corpus linguistics at work. John Benjamins.
37.
TremblayA.DerwingB.LibbenG. (2009). Are lexical bundles stored and processed as single units?Working Papers of the Linguistics Circle, 19(1), 258–258.
38.
WickhamH. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4. https://ggplot2.tidyverse.org
39.
WickhamH.AverickM.BryanJ.ChangW.McGowanL. D.FrançoisR.GrolemundG.HayesA.HenryL.HesterJ.KuhnM.PedersenT. L.MillerE.BacheS. M.MüllerK.OomsJ.RobinsonD.SeidelD. P.SpinuV.YutaniH. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
