Slide 9: Impossible Identities

Diverse body type / size options rated 2.479 out of 3. More than one gender option rated 2.554 out of 3. Options for involuntary skin markings (blemishes, freckles, scars) rated 2.145 out of 3. Diverse race / ethnicity options rated 2.597 out of 3. Options for voluntary skin marking (tattoos, piercings) rated 1.990 out of 3. Realistic graphics rated 1.403 out of 3. Options for visible chronic health conditions / disabilities rated 1.696 out of 3. Diverse sexuality options rated 1.938 out of 3. Diverse pronoun options rated 1.582 out of 3. More than two gender options, including nonbinary genders rated 1.650 out of 3.

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Slide 10: Impossible Identities

Diverse body type / size options mean rating 2.479 out of 3. More than one gender option mean rating 2.554 out of 3. Options for involuntary skin markings (blemishes, freckles, scars) mean rating 2.145 out of 3. Diverse race / ethnicity options mean rating 2.597 out of 3. Options for voluntary skin marking (tattoos, piercings) mean rating 1.990 out of 3. Realistic graphics mean rating 1.403 out of 3. Options for visible chronic health conditions / disabilities mean rating 1.696 out of 3. Diverse sexuality options mean rating 1.938 out of 3. Diverse pronoun options mean rating 1.582 out of 3. More than two gender options, including nonbinary genders mean rating 1.650 out of 3.

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Slide 11: Impossible Identities

Table showing results of MANOVA test. Row 1, importance of More Than Two Genders. Type 3 sum of squares = 2278.826. df = 1. Mean square = 2278.826. F = 5201.086. Significance = 0.000. Partial E T A squared = 0.507. Row 2, importance of Diverse Pronoun Options. Type 3 sum of squares = 2045.296. df = 1. Mean square = 2045.296. F = 4265.339. Significance = 0.000. Partial E T A squared = 0.457. Row 3, importance of Diverse Sexuality Options. Type 3 sum of squares = 2195.074. df = 1. Mean square = 2195.074. F = 2954.339. Significance = 0.000. Partial E T A squared = 0.369. Row 4, importance of Chronic Health Disability. Type 3 sum of squares = 1371.047. df = 1. Mean square = 1371.047. F = 1744.664. Significance = 0.000. Partial E T A squared = 0.256. Row 5 importance of Realistic Graphics. Type 3 sum of squares = 3.321. df = 1. Mean square = 3.321 F = 2.638. Significance = 0.104. Partial E T A squared = 0.001. Row 6, importance of Voluntary Skin Markings. Type 3 sum of squares = 405.502. df = 1. Mean square = 405.502. F = 343.538. Significance = 0.000. Partial E T A squared = 0.064. Row 7, importance of Diverse Race Options. Type 3 sum of squares = 1980.204. df = 1. Mean square = 1980.204. F = 1865.790. Significance = 0.000. Partial E T A squared = 0.269. Row 8, importance of Involuntary Skin Markings. Type 3 sum of squares = 608.673. df = 1. Mean square = 608.673. F = 521.476. Significance = 0.000. Partial E T A squared = 0.093. Row 9, importance of <ore Than One Gender. Type 3 sum of squares = 1706.187. df = 1. Mean square = 1706.187. F = 1452.046. Significance = 0.000. Partial E T A squared = 0.223. Row 10, importance of Diverse Body Types. Type 3 sum of squares = 1398.112. df = 1. Mean square = 1398.112. F = 1274.050. Significance = 0.000. Partial E T A squared = 0.201.

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Slide 12: Impossible Identities

Graph showing difference in rating out of 3 between those who believe diversity is important and those who don't. Diverse body type / size options difference of 1.225. More than one gender option difference of 1.352. Options for involuntary skin markings (blemishes, freckles, scars) difference of 0.808. Diverse race / ethnicity options difference of 1.458. Options for voluntary skin marking (tattoos, piercings) difference of 0.659. Realistic graphics difference of -0.059. Options for visible chronic health conditions / disabilities difference of 1.212 . Diverse sexuality options difference of 1.534. Diverse pronoun options difference of 1.481. More than two gender options, including nonbinary genders difference of 1.563.

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Slide 13: Impossible Identities

Table showing results of the Independent Samples Test. Row 1, sexuality options, equal variances assumed. Levene's Test for Equality of Variances F = 555.456, Significance = 0.000. t-test for Equality of Means. t = 19.202, d f = 5690, significance 0.000, mean difference 0.55442, standard error difference 0.02887, 95 percent confidence interval of the difference lower 0.49782 upper 0.61102. Row 2, sexuality options, equal variances not assumed. Levene's Test for Equality of Variances F = 555.456, significance 0.000. t-test for Equality of Means. t = 17.662, df = 3242.161, significance 0.000, mean difference 0.55442, standard error difference 0.03139, 95 percent confidence interval of the difference lower 0.49287 upper 0.61597.

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Slide 14: Impossible Identities

Table showing results of ANOVA test. Row 1, More than one gender option, Between Groups. Sum of squares = 84.585, d f = 1, Mean Square = 84.585, F = 57.462, Significance = 0.000 Row 2, More than one gender option, Within Groups. Sum of squares = 8375.749, d f = 5690, Mean Square = 1.472. Row 3, More than one gender option, Total. Sum of squares = 8460.334, d f = 5691. Row 4, More than two gender options (including nonbinary genders), Between Groups. Sum of squares = 410.872, d f = 1, Mean Square = 410.872, F = 537.457, Significance = 0.000. Row 5, More than two gender options (including nonbinary genders), Within Groups. Sum of squares = 4349.858, d f = 5690, Mean Square - 0.764. Row 6, More than two gender options (including nonbinary genders), Total. Sum of squares = 4760.730, d f = 5691. Row 7, Diverse pronoun options, Between Groups. Sum of squares = 362.815, d f = 1, Mean Square = 362.815, F = 459.797, Significance = 0.000. Row 8, Diverse pronoun options, Within Groups. Sum of squares = 4489.847, d f = 5690, Mean square = 0.789. Row 9, Diverse pronoun options, Total. Sum of squares = 4852.663, d f = 5691.

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Genderbread Person: Gender Accessibility

The Genderbread Person. Cartoon person with a brain on their head with the label Identity, a heart on their chest with the label Attraction, a transgender symbol on their crotch with the label Sex, and the label Expression pointing to their body. There are Gender Identity sliders, Gender Expression sliders and Biological Sex sliders, which have a no symbol at one end. The Gender Identity sliders have Woman-ness and Man-ness at the other end. The Gender Expression Sliders have Feminine and Masculine at the other end. The Biological Sex sliders have Female-ness and Male-ness at the other end. There are Sexually Attracted to and Romantically Attracted to sliders, which range from Nobody to Women/Females/Femininity and Nobody to Men/Males/Masculinity.

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Sims 4 Custom Gender Settings Screen: Gender Accessibility

Sims 4 custom gender settings screen. Buttons to select Physical Frame as masculine or feminine, Clothing Preferences as masculine or feminine, whether the Sim will be able to become pregnant, get others pregnant, or neither, and whether the Sim can use the toilet standing.

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Making Diverse Games Image

A flow chart. Node 1, I'm making a game. Branches to I understand diversity is important, and also branches to I do not believe diversity is important. Node 2, I understand diversity is important. Branches to I am not from the marginalised groups that I wish to depict, and also branches to I am from the marginalised groups I intend to depict. Node 3A, I am from the marginalised groups I intend to depict, branches to I am going to use my own experiences and do additional research. Node 3B, I am not from the marginalised groups that I wish to depict. Branches to I can't afford paid consultants, and also branches to I am going to consult with paid professionals. Node 4, I can't afford paid consultants. Branches to What do I do?!, and also branches to I have friends who identify with this group and who are willing to me a favour.

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Slide 3: G X Q R M

Asexual / aromantic. Protagonist representation 5. Non player character representation 24. Other representation 1. Bisexual / plurisexual. Protagonist representation 103. Non player character representation 126. Other representation 3. Cross-dressing. Protagonist representation 13. Non player character representation 37. Other representation 3. Gay. Protagonist representation 113. Non player character representation 327. Other representation 36. Intersex. Protagonist representation 0. Non player character representation 1. Other representation 0. Lesbian. Protagonist representation 171. Non player character representation 281. Other representation 7. Non binary / non conforming. Protagonist representation 71. Non player character representation 84. Other representation 5. Playersexual. Protagonist representation 111. Non player character representation 100. Other representation 1. Polyamory. Protagonist representation 20. Non player character representation 6. Other representation 1. Trans woman. Protagonist representation 28. Non player character representation 47. Other representation 7. Trans man. Protagonist representation 9. Non player character representation 45. Other representation 5. Other / uncategorizable. Protagonist representation 11. Non player character representation 16. Other representation 58. Go Back

Slide 6: Breakdown of queer games by genre

Starting at top, moving clockwise. Wedge 1, action-adventure, 9 per cent. Wedge 2, adventure, 16 per cent. Wedge 3, beat em up, 1 per cent. Wedge 4, casual, 1 per cent. Wedge 5, driving, 1 per cent. Wedge 6, fighter, 3 per cent. Wedge 7, incremental, 1 per cent. Wedge 8, interactive fiction, 24 per cent. Wedge 9, platformer, 2 per cent. Wedge 10, puzzle, 3 per cent. Wedge 11, R P G, 23 per cent. Wedge 12, simulation, 10 per cent. Wedge 13, strategy, 7 per cent. Wedge 14, survival horror, 1 per cent. Wedge 15, tabletop, 2 per cent. Wedge 16, tower defence, 1 per cent. Wedge 17, visual novel, 42 per cent.

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Slide 12: 31 reflective statements using the Likert scale

Making games more diverse always results in tokenism. I would prefer to see tokenistic representations of marginalised groups than no representation in a game. Games only include representation to pander to diverse audiences. Greater diversity in games benefits everybody. Creators should be allowed to make games however they like. If a game includes representations of marginalised people, the creators were probably forced to include them. I am happy for games to include diverse representation provided the creators weren’t pressured to include it. People who play games deserve to see people like themselves in games. Players should be able to empathise with a character, no matter their identity. I can connect with a protagonist more if I can see part of myself in them. More diverse characters mean audiences will empathise with a wider variety of people. Character personality or backstory is more important to me than their skin colour, gender, and sexuality. The majority of people who play games are white, straight, cisgender men. ‘Casual’ games (e.g. mobile games, visual novels, interactive narratives) aren’t ‘real’ games. The majority of games being released by big development studios or publishers feature white, straight, cisgender men as protagonists. I don’t mind diverse characters being in some games, provided it’s not every game. Videogame characters shouldn’t be from marginalised groups unless there’s a good reason. Representation is about increasing diversity across the whole of the games industry, rather than within every individual game. Individual games should not need to meet a ‘quota’ of diverse characters. Games should be diverse because reality is diverse. Games don’t need to be diverse because games are fictional. Games should only be diverse when it does not interfere with historical accuracy. Inclusivity is more important than historical accuracy. Diversity in characters creates more interesting stories. Games with similar protagonists can only tell similar stories. Diversity is irrelevant because game mechanics are more important. Diversity should never be included in a game at the expense of the game’s mechanics. I don’t mind who the characters are in the games I play so long as they are still fun. Diversity in games serves no real purpose. Broader representation in games helps people see what is possible. Creators should be encouraged to increase the diverse voices represented in their games. The people I see in videogames should reflect the types of people I see in reality.

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Slide 16: Graph showing frequency of responses

Column 1, 111 respondents responded with 1. Column 2, 90 respondents responded with 2. Column 3, 19 respondents responded with 3. Column 4, 91 respondents responded with 4. Column 5, 85 respondents responded with 5.

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Slide 18: Graph showing frequency of responses

Column 1, 43 respondents responded with 1. Column 2, 52 respondents responded with 2. Column 3, 68 respondents responded with 3. Column 4, 101 respondents responded with 4. Column 5, 133 respondents responded with 5.

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Slide 20: Table showing privilege and marginalised

Row 1, Privilege = Yes. Marginalisation = yes, 228. Marginalisation = no, 36. Marginalisation = unsure, 13. Total, 277. Row 2, Privilege = No. Marginalisation = yes, 45. Marginalisation = no, 41. Marginalisation = unsure, 3. Total, 89. Row 3, Privilege = unsure. Marginalisation = yes, 10. Marginalisation = no, 4. Marginalisation = unsure, 16. Total, 30. Row 4, Total. Marginalisation = yes, 283. Marginalisation = no, 81. Marginalisation = unsure, 32. Total, 396.

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Slide 21: privileged groups word picture full list of words used

White white cis male ablebodied neurotypical straight able-bodied Cis class bodied able privilege Ablebodied middle Male mostly privileged country None middle-class educated Straight passing Neurotypical think live want like born pass white-passing background cisgender people stable world life poor men cisgendered financially Christian poverty parents college family really group guess never upper good sure just man art one upper-middle relatively Privilege American European healthy citizen western define native groups social matter female exist games need make rich used say can lot heterosexual physically homeowner privilige currently Caucasian religious language consider minority question probably european bullshit confused physical Employed goddamn concept suicide anxiety benefit Western somehow wealthy growing Citizen looking English someone average Middle status crisis listed pretty gender appear extent racist victim reject likely sexual global Asian first woman gamer still looks feels right Abled women money place young wrong Tall feel well fact will know word also half Able line come get etc way far guy fit use I’m race/colour/appearance/perceived Aboriginal-Australian depression/compulsive heterosexual-passing university-educated upper-middle-class middle-class/not straight-passing college-educated Educated/Masters racisim/sexism cis-presenting middle-classed spaces/consume Socio-economic heteroflexible phenotypically White-skinned Mediterranean Uncomfortable educated--and person-person approximately socioeconomic understanding effortlessly disabilities relationship identitarian marginalized disadvantage braindamaged manufactured homelessness Civilization economically days/access career-wise communities effectively Latin-White Able-bodied cis-passing significant differences citizenship incompetent patriarchal priviledged upper-class terminology impairments third-level demographic experiences represented high-income healthcare incredibly starvation privileges regardless assistance government negativity presenting attractive priveleged perception disgusting aboriginal day-to-day completely non-binary everything mostly...i ulcerative additional invalidate middle-ish throughout attributes understand university negatively AbleBodied depression especislly preference stereotype Arrhythmia definition supportive white,able videogames sentiment something privelege economics fairytale described elocution struggled variables inclusion situation certainly interpret apologies financial christian ablebodie evolution arguments captalist oppressed graduates societies Diversity important sometimes Masculine Appearing construct education childhood sexuality disablity aromantic appearing affluent enormous strongly intersex counting employed Canadian disagree appaling commonly humanity majority industry visually concerns cis-male measured crippled bullying mentally bisexual shitting Milhouse mobility thoughts fostered accurate solution graduate ancestry Educated citizens feckless homeless compared Master's equality anything specific autistic religion cultured literate feminist bipolar speaker married cismale natural diverse therapy society history illness exactly chronic mansion session premise Telling sharing granted artists anymore respect believe profile obesety blanket besides morning another walking stopped dipshit outside literal doesn’t visibly treated colitis classes magical shallow century without morally dismiss becaise neglect racists assault conform asexual However impairs Swedish marxism instead showing certain Perhaps acheive useless checked usually suppose Whether reality serious number secure doesnt higher genger Normal degree repeat across answer seeing raised traits though flawed racism deeply entire rather simple asking access recent school Asthma canada loaded retard modern proves suffer living easily nation vision Whitse jewish either ANYONE no-one anyway affect effort things little slavic figure Degree asthma medium income skinny create latino goddam coming others highly fairly menace heated black maybe often agree Irish color speak sound enemy adult trans south guilt areas pasty comes claim lucky dirty years queer lived femme super Class legal stuff sides debts quite blood spend midle crime worry chan don’t worse level angry thing rates given abled check large among media vogue birth Leave dandy seems count point abuse lives alive lower dude fair thin part shut West tech rest list mean next love base bias look Stop find whie rate tend head colo time jail high Nope work pale ways thug st rape sane skin guys less Daly full case ones High hand race mass move Life fine amab kind damn sums type name slim fuck give free lots much pain due het bed job now may i’m see age U.S N/A top neo low st I"m USA

Slide 21: marginalised groups word picture full list of words used

neurodivergent female bisexual queer trans asexual Female woman disabled Queer autistic gay mentally ill Bisexual Gay pansexual mental anxiety depression non-binary lesbian gender aromantic Disabled Trans Transgender disability Neurodivergent marginalised transgender nonbinary disorder illness Woman male part also None marginalized genderqueer physically spectrum chronic health white like LGBT life race poor neuro-atypical neuroatypical genderfluid minority straight Asexual issues autism sexual count class black group fat marginalization chronically personality demisexual sexuality aspergers depressed immigrant Nonbinary partially illnesses American Autistic identity Mentally identify multiple question atheist Agender suffer Native groups answer family Gender people Jewish person years Latin Women well felt afab live even work just say one bad agender/nonbinary non-neurotypical trans/non-binary neuro-divergent misinterpreted specifically Genderfluid panromantic Genderqueer upbringing Non-binary background understand Homosexual presenting diagnosed education important disorders Brazilian sensitive Hispanic probably american survivor unstable lgbtqia glasses working LGBTQIA country however results Mexican Chinese bipolar agender culture bodied latina likely things single colour social survey Black mixed legal deals never White stuff might Asian fluid based know deaf good mild feel pain PTSD last area ADHD full able ASD pan low bit get Jew far can Genderqueer/genderquestioning nonconforming/transmasculine nonbinary/transmasculine nonbinary/genderqueer stem/programming/game get-out-of-jail-free Vietnamese-American genderqueer/gender disabled/atypical asexual/aromantic Non-Heterosexual non-heterosexual representational anti-neofeminist Indigenous/mixed Chinese-American straight-passing high-functioning Trans/Non-Binary African-American Female/nonbinary manic-depressive marginalisation psychologically nonbinary/trans Nuerodivergent neruodivergent pre-transition Neurodivergant asexual/queer homosexuality NeuroAtypical discriminated nonconforming queer/asexual psychological significantly single-parent Uncomfortable Neuroatypical unjustifiably questionnaire socioeconomic Nonconforming biologically occasionally economically demiromantic Intellectual conservative relationship non-straight neurotypical disabilities practitioner gender-queer development experienced environment genetically Black/Asian white-latin non-western financially patronising Panromantic demographic represented tachycardia masculinity agoraphobic Queer(still intelligent handicapped wheelchairs orientation polyamorous differently borderline Aboriginal unbecoming occasional priviliges expression economical Non-Binary conditions biromantic indigenous wheelchair deppresion everything generation recovering converting particular south-east previously privileges tech/games non-career identified enthusiast overweight homosexual accurately irrelevant Irrelevant polysexual officially incapacity challenged experience Sexuality concerned epileptic Ashkenazi agreement questions infertile Extremely Immigrant somewhere hindrance documents intrusive attracted dominated cisgender interpret they/them condition Pansexual PoC/mixed affective suffering according scientist Self-pity Sclerosis attention long-term non-white asterisks episodes equality feminine diminish Filipino slightly assigned symptoms requires Straight pronouns answered response ambitous screwups isolated socially biseuxal claiming although everyone crippled moderate confused religion uncommon decision QUILTBAG physical suicidal Multiple agnostic romantic everyday consider thoughts separate bisexusl figuring somewhat compared Cherokee formerly handling nb),afab defined Without Burkian clarity assault society welfare artists content Lesbian couples benefit weirdos parents poverty Atheist sharing latinas pension process Therian respond profile eastern getting retards instead descent enjoyed include anybody hobbies migrant Equally aligned poor/on trouble forward deficit passing besides Bullied mexican fatigue judaism usually However trivial visibly already reality studies stomach aborted comment ability LGBTIQA racist theyre aspect spirit little pretty define Though jewish bi/pan Romani better Muslim unable mebtal anyone afraid Unsure biased affect though Latina except unsure Gamers Racial favour degree really binary rights stated plural Latino easily leaves covers thruth easier always highly recent reallt moving Whilst losers loners Prefer sexist second Social Second places native Latinx People manage nobody Slavic middle going exist think femme knees terms small nerve judgy young first truth among truly parts grief words stand entry award brown helps Group lower notes women point limbs worse image seems asian short CPTSD often comes fucks LGBTQ abuse third Mixed color South drive leans gamer scale cuban perks games Gamer birth slavs Maori found guess Brain treat sure poly keep mind ever kind page read list lgbt dfab case Born told less user half sjws card lots room much fuck give time none Race west hear deem sort game enby anti uses long head skin test Poly many East tech ceos fear hard back LBGT need hope folk wear Like Lgbt mega Slav body Nope Part ptsd term fits stop sex GNC See ADD nd FYI guy I’m tbh N/A old SJW dev law Two poc end i’m big Idk six fit men mtf top yes Now gun lot Han etc see cis put non gen lol

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Slide 25: Table showing frequency of categories of responses

Row 1, Valid. Frequency, 658. Percent, 11.5. Valid percent, 11.5. Cumulative percent 11.5. Row 2, Accuracy. Frequency, 365. Percent, 6.4. Valid percent, 6.4. Cumulative percent 17.9. Row 3, Already. Frequency, 16. Percent, 0.3. Valid percent, 0.3. Cumulative percent 18.2. Row 4, Bonus. Frequency, 67. Percent, 1.2. Valid percent, 1.2. Cumulative percent 19.4. Row 5, Characterisation. Frequency, 418. Percent, 7.3. Valid percent, 7.3. Cumulative percent 26.7. Row 6, Depends. Frequency, 119. Percent, 2.1. Valid percent, 2.1. Cumulative percent 28.8. Row 7, Developer. Frequency, 435. Percent, 7.6. Valid percent, 7.6. Cumulative percent 36.4. Row 8, Empathy. Frequency, 98. Percent, 1.7. Valid percent, 1.7. Cumulative percent 38.1. Row 9, Fantasy. Frequency, 253. Percent, 4.4. Valid percent, 4.4. Cumulative percent 42.6. Row 10, Gameplay. Frequency, 582. Percent, 10.2. Valid percent, 10.2. Cumulative percent 52.8. Row 11, Harmful. Frequency, 19. Percent, 0.3. Valid percent, 0.3. Cumulative percent 53.1. Row 12, Impact. Frequency, 62. Percent, 1.1. Valid percent, 1.1. Cumulative percent 54.2. Row 13, Important. Frequency, 46. Percent, 0.8. Valid percent, 0.8. Cumulative percent 55.0. Row 14, Irrelevant. Frequency, 911. Percent, 16.0. Valid percent, 16.0. Cumulative percent 73.7. Row 15, Make-your-own. Frequency, 15. Percent, 0.3. Valid percent, 0.3. Cumulative percent 73.9. Row 16, Market. Frequency, 39. Percent, 0.7. Valid percent, 0.7. Cumulative percent 74.6. Row 17, Others. Frequency, 40. Percent, 0.7. Valid percent, 0.7. Cumulative percent 75.3. Row 18, Racism. Frequency, 42. Percent, 0.7. Valid percent, 0.7. Cumulative percent 76.0. Row 19, Reality. Frequency, 163. Percent, 2.9. Valid percent, 2.9. Cumulative percent 78.9. Row 20, Self. Frequency, 372. Percent, 6.5. Valid percent, 6.5. Cumulative percent 85.4. Row 21, Story. Frequency, 464. Percent, 8.1. Valid percent, 8.1. Cumulative percent 93.5. Row 22, Valid. Frequency, 369. Percent, 6.5. Valid percent, 6.5. Cumulative percent 100.0. Row 23, Total. Frequency, 5708. Percent, 100.0. Valid percent, 100.0.

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Slide 4: Queer representation per year in standalone game titles

Point 1, Year 1986, standalone games with queer representation released, 2. Point 2, Year 1987, standalone games with queer representation released, 3. Point 3, Year 1988, standalone games with queer representation released, 1. Point 4, Year 1989, standalone games with queer representation released, 2. Point 5, Year 1990, standalone games with queer representation released, 2. Point 6, Year 1991, standalone games with queer representation released, 3. Point 7, Year 1992, standalone games with queer representation released, 6. Point 8, Year 1993, standalone games with queer representation released, 2. Point 9, Year 1994, standalone games with queer representation released, 3. Point 10, Year 1995, standalone games with queer representation released, 7. Point 11, Year 1996, standalone games with queer representation released, 6. Point 12, Year 1997, standalone games with queer representation released, 5. Point 13, Year 1998, standalone games with queer representation released, 1. Point 14, Year 1999, standalone games with queer representation released, 6. Point 15, Year 2000, standalone games with queer representation released, 3. Point 16, Year 2001, standalone games with queer representation released, 5. Point 17, Year 2002, standalone games with queer representation released, 4. Point 18, Year 2003, standalone games with queer representation released, 6. Point 19, Year 2004, standalone games with queer representation released, 6. Point 20, Year 2005, standalone games with queer representation released, 12. Point 21, Year 2006, standalone games with queer representation released, 10. Point 22, Year 2007, standalone games with queer representation released, 6. Point 23, Year 2008, standalone games with queer representation released, 11. Point 24, Year 2009, standalone games with queer representation released, 19. Point 25, Year 2010, standalone games with queer representation released, 18. Point 26, Year 2011, standalone games with queer representation released, 14. Point 27, Year 2012, standalone games with queer representation released, 22. Point 28, Year 2013, standalone games with queer representation released, 31. Point 29, Year 2014, standalone games with queer representation released, 43. Point 30, Year 2015, standalone games with queer representation released, 74. Point 31, Year 2016, standalone games with queer representation released, 93.

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Slide 9: Rates of increase for specific diverse sexualities and genders

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Slide 13: Graph showing queer representation by genre

Starting at top, moving clockwise. Wedge 1, action-adventure, 9 per cent. Wedge 2, adventure, 16 per cent. Wedge 3, beat em up, 1 per cent. Wedge 4, casual, 1 per cent. Wedge 5, driving, 1 per cent. Wedge 6, fighter, 3 per cent. Wedge 7, incremental, 1 per cent. Wedge 8, interactive fiction, 24 per cent. Wedge 9, platformer, 2 per cent. Wedge 10, puzzle, 3 per cent. Wedge 11, R P G, 23 per cent. Wedge 12, simulation, 10 per cent. Wedge 13, strategy, 7 per cent. Wedge 14, survival horror, 1 per cent. Wedge 15, tabletop, 2 per cent. Wedge 16, tower defence, 1 per cent. Wedge 17, visual novel, 42 per cent.

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Graph 1: Favourite representation of sexuality in games

Starting at top, moving clockwise. Wedge 1, Dragon Age series, 43 per cent. Wedge 2, Life is Strange 14 per cent. Wedge 3, Mass Effect series 12 per cent. Wedge 4, Undertale 11 per cent. Wedge 5, The Last of Us, 9 per cent. Wedge 6, Gone Home, 7 per cent. Wedge 7, Borderlands series, 6 per cent. Wedge 8, Fallout series, 4 per cent. Wedge 9, Coming Out On Top, 2 per cent. Wedge 10, Cute Demon Crashers, 2 per cent. Wedge 11, Katawa Shoujo, 2 per cent. Wedge 12, Saints Row series, 2 per cent. Wedge 13, The Elder Scrolls series, 2 per cent. Wedge 14, The Sims series, 2 per cent. Wedge 15, We Know the Devil, 2 per cent. Wedge 16, Always Sometimes Monsters, 1 per cent. Wedge 17, Astoria: Fate's Kiss, 1 per cent. Wedge 18, Birdland, 1 per cent. Wedge 19, Blossoming Love, 1 per cent. Wedge 20, C14 Dating, 1 per cent. Wedge 21, Cibele, 1 per cent. Wedge 22, Corpse Party, 1 per cent. Wedge 23, Dreamfall: Chapters, 1 per cent. Wedge 24, Guild Wars 2, 1 per cent. Wedge 25, Jade Empire, 1 per cent. Wedge 26, Loren the Amazon Princess, 1 per cent. Wedge 27, Queen's Gambit, 1 per cent. Wedge 28, Rise of the Tomb Raider, 1 per cent. Wedge 29, Stardew Valley, 1 per cent. Wedge 30, The Beast Within: A Gabriel Knight Mystery, 1 per cent. Wedge 31, The Binding of Isaac, 1 per cent. Wedge 32, The Witcher series, 1 per cent. Wedge 33, Wolfenstein, 1 per cent.

Graph 1: Favourite representation of diverse genders in games

Starting at top, moving clockwise. Wedge 1, Dragon Age series, 23 per cent Wedge 2, Undertale, 17 per cent. Wedge 3, Fallen London, 9 per cent. Wedge 4, Life is Strange, 9 per cent. Wedge 5, Read Only Memories, 8 per cent. Wedge 6, Mass Effect series, 7 per cent. Wedge 7, Saints Row series, 6 per cent. Wedge 8, Souls games, 4 per cent. Wedge 9, Sunless Sea, 4 per cent. Wedge 10, Astoria: Fate's Kiss, 3 per cent. Wedge 11, Borderlands series, 3 per cent. Wedge 12, Persona series, 3 per cent. Wedge 13, The Last of Us, 3 per cent. Wedge 14, The Sims series, 3 per cent. Wedge 15, Hustle Cat, 2 per cent. Wedge 16, LongStory, 2 per cent. Wedge 17, Overwatch, 2 per cent. Wedge 18, Stardew Valley, 2 per cent. Wedge 19, Technobabylon, 2 per cent. Wedge 20, Animal Crossing series, 1 per cent. Wedge 21, Another Code: R, 1 per cent. Wedge 22, Beyond Good and Evil, 1 per cent. Wedge 23, Catherine, 1 per cent. Wedge 24, Crusader Kings 2, 1 per cent. Wedge 25, Final Fantasy XIV, 1 per cent. Wedge 26, Fire Emblem, 1 per cent. Wedge 27, Firewatch, 1 per cent. Wedge 28, Gone Home, 1 per cent. Wedge 29, Hollywood Visionary, 1 per cent. Wedge 30, Lifeline, 1 per cent. Wedge 31, Mordin, 1 per cent. Wedge 32, Mount and Blade, 1 per cent. Wedge 33, Portal 2, 1 per cent. Wedge 34, Queen at Arms, 1 per cent. Wedge 35, Rust, 1 per cent. Wedge 36, Skullgirls, 1 per cent. Wedge 37, The Cat Lady, 1 per cent. Wedge 38, The Elder Scrolls series, 1 per cent. Wedge 39, The Witcher series, 1 per cent. Wedge 40, We Know the Devil, 1 per cent. Wedge 41, XCOM, 1 per cent.

Graph 1: Favourite representation of relationships in games

Starting at top, moving clockwise. Wedge 1, Dragon Age series, 37 per cent. Wedge 2, Mass Effect series, 17 per cent. Wedge 3, Fallout series, 13 per cent. Wedge 4, Stardew Valley, 13 per cent. Wedge 5, The Sims series, 10 per cent. Wedge 6, Persona series, 7 per cent. Wedge 7, Fire Emblem, 5 per cent. Wedge 8, The Elder Scrolls series, 5 per cent. Wedge 9, Cute Demon Crashers, 2 per cent. Wedge 10, Fable series, 2 per cent. Wedge 11, Seven Kingdoms: The Princess Problem, 2 per cent. Wedge 12, Star Wars: The Old Republic, 2 per cent. Wedge 13, The Witcher series, 2 per cent. Wedge 14, Undertale, 2 per cent. Wedge 15, Alpha Protocol, 1 per cent. Wedge 16, Amagami, 1 per cent. Wedge 17, Astoria: Fate's Kiss, 1 per cent. Wedge 18, Coming Out On Top, 1 per cent. Wedge 19, Harvest Moon, 1 per cent. Wedge 20, Katawa Shoujo, 1 per cent. Wedge 21, Life is Strange, 1 per cent. Wedge 22, Little King's Story, 1 per cent. Wedge 23, Mount and Blade, 1 per cent. Wedge 24, Norm 9, 1 per cent. Wedge 25, Planescape: Torment, 1 per cent. Wedge 26, Queen at Arms, 1 per cent. Wedge 27, Robo-tea: 1 cup, 1 per cent. Wedge 28, Seduce Me, 1 per cent. Wedge 29, Story of Seasons, 1 per cent. Wedge 30, Sweet Fuse: At Your Side, 1 per cent. Wedge 31, Tin Star, 1 per cent. Wedge 32, Yakuza, 1 per cent.

Graph 1: Favourite use of pronouns in games

Starting at top, moving clockwise. Wedge 1, Undertale, 20 per cent. Wedge 2, Dragon Age series, 18 per cent. Wedge 3, Read Only Memories, 17 per cent. Wedge 4, Sunless Sea, 8 per cent. Wedge 5, Fallen London, 7 per cent. Wedge 6, Hustle Cat, 4 per cent. Wedge 7, LongStory, 4 per cent. Wedge 8, Mass Effect series, 3 per cent. Wedge 9, Saints Row series, 3 per cent. Wedge 10, Battlebor, 2 per cent. Wedge 11, Borderlands series, 2 per cent. Wedge 12, Pyre, 2 per cent. Wedge 13, Stardew Valley, 2 per cent. Wedge 14, Astoria: Fate's Kiss, 1 per cent. Wedge 15, Fallout series, 1 per cent. Wedge 16, Hollywood Visionary, 1 per cent. Wedge 17, Life is Strange, 1 per cent. Wedge 18, Persona series, 1 per cent. Wedge 19, The Elder Scrolls series, 1 per cent. Wedge 20, The Hero of Kendrickstone, 1 per cent. Wedge 21, The Sea Eternal, 1 per cent. Wedge 22, XCOM, 1 per cent.

Graph 1: Favourite character creation system in games

Starting at top, moving clockwise. Wedge 1, The Sims series, 26 per cent. Wedge 2, Fallout series, 24 per cent. Wedge 3, Saints Row series, 22 per cent. Wedge 4, Dragon Age series, 16 per cent. Wedge 5, The Elder Scrolls series, 12 per cent. Wedge 6, Souls games, 11 per cent. Wedge 7, Dragon's Dogma, 4 per cent. Wedge 8, Guild Wars 2, 3 per cent. Wedge 9, LongStory, 3 per cent. Wedge 10, Phantasy Star Online, 3 per cent. Wedge 11, Black Desert Online, 2 per cent. Wedge 12, Blade and Soul, 2 per cent. Wedge 13, Hustle Cat, 2 per cent. Wedge 14, Mass Effect, 2 per cent. Wedge 15, Stardew Valley, 2 per cent. Wedge 16, Sunless Sea, 2 per cent. Wedge 17, Animal Crossing, 1 per cent. Wedge 18, Arcanum, 1 per cent. Wedge 19, Arkh Survival, 1 per cent. Wedge 20, City of Heroes, 1 per cent. Wedge 21, Dynasty Warriors, 1 per cent. Wedge 22, Fallen London, 1 per cent. Wedge 23, Fantasy Life, 1 per cent. Wedge 24, Final Fantasy XIV, 1 per cent. Wedge 25, Fire Emblem, 1 per cent. Wedge 26, Miitomo, 1 per cent. Wedge 27, Pokemon, 1 per cent. Wedge 28, Rimworld, 1 per cent. Wedge 29, Shadowrun, 1 per cent. Wedge 30, Splatoon, 1 per cent. Wedge 31, Star Wars: The Old Republic, 1 per cent. Wedge 32, Starbound, 1 per cent. Wedge 33, Story of Seasons, 1 per cent. Wedge 34, The Division, 1 per cent. Wedge 35, Vampire the Masquerade: Bloodlines, 1 per cent. Wedge 36, World of Warcraft, 1 per cent. Wedge 37, XCOM, 1 per cent.

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