Play-Persona: Modeling Player Behaviour in Computer Games

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19. Korhonen, H., Koivisto, E.M.I.: Playability Heuristics for Mobile Multi-Player Games. In Proceedings of DIMEA (2007) 20. Kort, J., Steen, M. G. D., de Poot, H., ter Hofte, H., Mulder, I.: Studying usage of complex applications. In Proceedings of Measuring Behavior. Noldus Information Technology (2005). 21. Kuniavsky, M.: Observing the User Experience: A Practitioner´s Guide to User Research. Morgan Kaufman (2003) 22. Longley, P.; Goodchild, M. F., Macquire, D. & Rhind, D.: Geographic Information Systems and Science. Wiley & Sons (2005) 23. Medlock, M.C., Wixon, D., Terrano, M., Romero, R.L., Fulton, B.: Using the RITE method to improve products: A definition and a case study. In Proceedings of UPA (2002) 24. Mellon, L.: Metrics in MMP Development and Operations. Presentation at the GDC, Los Angeles, USA (2004) 25. Nørgaard, M., Rau, J.: User Testing in the Combat Zone. In Proceedings of ACE, Toronto, Ontario (2007) 26. Pagulayan, R. J., Keeker, K., Wixon, D., Romero, R. L., Fuller, T.: User-centered design in games. In The HCI handbook. Lawrence Erlbaum Associates (2003), 883-906 27. Pagulayan R., Keeker, K.: Measuring Pleasure and Fun: Playtesting. In Wilson C. (Ed.): Handbook of Formal and Informal Interaction Design Methods. Morgan Kaufmann Publishers (2007) 28. Renaud, K. and Gray, P.: Making sense of low-level usage data to understand user activities. In Proceedings of SAICSIT 2004, ACM Press (2004), 115-124 29. Rouse, R. Game Design: Theory and Practice. Wordware publishing Inc. (2001) 30. Schultz, C. P.: Game Testing All in One. Course Technology PTR (2005) 31. Swain, C. 2008. Master Metrics: The Science Behind the Art of Game Design. Presentation at NLGD Conference, Utrecht, Holland (2008) 32. Thompson, C.: Halo 3: How Microsoft Labs Invented a New Science of Play. Wired Magazine 15, 9 (2007) 33. Tychsen, A., Canossa, A.: Defining Personas in Games Using Metrics. In proceedings of Future Play 2008, Toronto, Canada. ACM publishers (2008), 73-80 34. Tychsen, A., Newman, K., Brolund, T., Hitchens, M.: Cross-format analysis of the gaming experience in multi-player role playing games. In DIGRA 2007, Tokyo, Japan (2007), 49-58 204
35. Whiteside, J., Archer, N. P., Wixon, D., Good, M.: How Do People Really Use Text Editors? In Proceedings of´the SIGOA Conference, ACM Press (1982), 29-40 36. Williams, D.; Yee, N., Caplan, S. E.: Who plays, how much, and why? Debunking the stereotypical gamer profile. Journal of Computer-Mediated Communication 13 (2005), 993- 1018 205
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Play-Persona: Modeling Player Behav
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4.2.3 PLAYER EXPRESSION 53 4.3 PEIR
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ACKNOWLEDGEMENTS I would like to th
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ABSTRACT This thesis proposes a fra
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Analysis seeks to break down comple
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Considering games as acts of commun
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ensemble - the syntagm. Selection r
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described in terms of likelihood of
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ook: FLUX, published in 2008. This
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2. A THEORETICAL FRAMEWORK FOR MODE
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“positivism” and “anti-positi
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with the game world based solely on
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on that text. Later, Barthes introd
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according to their mental state. Wh
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Following the humanistic tradition
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In most games it is not realistic t
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ehaviour. Assessing assumptions on
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Independently on the identity of ea
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main focus of the brand has always
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3.4 Play-persona as a lens (a poste
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Figure 10: personality and subperso
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4. CREATING EXPERIENCES The MDA fra
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Play-styles are sets of isotopic ga
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4.2.3 Player expression Player expr
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Players will eventually understand
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Combining both of these two approac
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REFERENCES 1. Aarseth, E. (1997): C
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52. Hunicke, R. LeBlanc, M. & Zubek
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96. Wiggins, A. (2006): Data Driven
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ARTICLE 1 - TOWARDS A THEORY OF THE
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flow between the player, the avatar
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6. The player constructs knowledge
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are sets of rational, bodily, and b
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ehaviorism asserting that a compreh
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4.3 Origin of subpersonalities Acco
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environment and the emanating subpe
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flow line), one must increase the c
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7.1 Explorer’s path FIGURE 5 Expl
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the roof section, where he/she will
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14. DE SOUSA, R. 2003. Emotions. In
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ARTICLE 2 - DESIGNING LEVELS FOR EN
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2 STRUCTURE OF A GAME LEVEL The fir
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3.2 Symbolical Reading The movement
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The hangar is open for workers and
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gather info, spying through keyhole
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6.2 Play-Personas I am going to def
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The Butcher persona would have quit
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ARTICLE 3 - WAVING EXPERIENCES: PLA
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types" [12]. Personas are construct
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esults in the relatively easy task
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Crew actions schemas are: • Squad
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choice given until the mark “poli
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REFERENCES 1. Bozec, P. "My Everyth
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ARTICLE 4 - WEAVING EXPERIENCES IN
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In order to be able to take acti
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persona could be narratively define
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of non lethal, silent, and clean de
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ARTICLE 5 - DEFINING PERSONAS IN GA
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software is however limited in that
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event sets, i.e. capturing metrical
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objects and entities within it. Eve
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metrics include tracking camera vie
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Figure 4: Example of interaction me
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looting is a play-style observed in
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players can choose between differen
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Play modes: Running, climbing, fall
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according to their positioning on a
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14. Medlock, M.C., Wixon, D.; Terra
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ARTICLE 6 - PLAY-PERSONAS: BEHAVIOU
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experiences are evaluated and remem
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B) It is possible to infer user nee
Page 153 and 154: personas are hypotheses that emerge
Page 155 and 156: Expert Rookie Grunt Athlete Chess-
Page 157 and 158: Procedural description: Shooting: -
Page 159 and 160: In the case example for Tomb Raider
Page 161 and 162: 2. Cooper, A.: The Inmates Are Runn
Page 163 and 164: ARTICLE 7 - TOWARDS GAMEPLAY ANALYS
Page 165 and 166: The requirement for improving user-
Page 167 and 168: The literature on game metrics is m
Page 169 and 170: ecause they all stem from in-house
Page 171 and 172: If a player kills a traitor they re
Page 173 and 174: Figure 3 (Top): diagram showing the
Page 175 and 176: titles where there is a trend towar
Page 177 and 178: a secondary variable together with
Page 179 and 180: player spent at the location and wh
Page 181 and 182: 3. Börner, K., Penumarthy, S.: Soc
Page 183 and 184: 34. Thompson, C.: Halo 3: How Micro
Page 185 and 186: ARTICLE 8 - ANALYZING SPATIAL USER
Page 187 and 188: on basic statistical analysis metho
Page 189 and 190: visualization or for creating overv
Page 191 and 192: egarding actions undertaken in-game
Page 193 and 194: ased methods within the games area
Page 195 and 196: 2.4 The EIDOS Metrics Suite The dat
Page 197 and 198: is played in Third-Person perspecti
Page 199 and 200: one cause of death, and performing
Page 201 and 202: ArcGIS permits different layers to
Page 203: 4. Cadez, I., Heckerman, D., Meek,
Page 207 and 208: ARTICLE 9 - PLAYER MODELING USING S
Page 209 and 210: unsupervised learning in capturing
Page 211 and 212: 3. TOMB RAIDER: UNDERWORLD The popu
Page 213 and 214: 2 - Environment; the percent of tot
Page 215 and 216: (ESOM) [5] to emphasize the distinc
Page 217 and 218: populated middle-left cluster (Fig.
Page 219 and 220: weight values we repeat the trainin
Page 221 and 222: TABLE I THE FOUR PLAYING BEHAVIOR C
Page 223 and 224: (d) Number of Deaths, D (e) Complet
Page 225 and 226: equests for specific in-game puzzle
Page 227 and 228: 13. G. N. Yannakakis and M. Maragou
Page 229 and 230: ARTICLE 10 - PSYCHOLOGY OF PERSONAL
Page 231 and 232: Personality is described as recogni
Page 233 and 234: Inputs: Outputs: Primary attack (ra
Page 235 and 236: Due to the fact that each game metr
Page 237 and 238: 12. Jennett, C., Cox, A.L., Cairns,
Page 239 and 240: ARTICLE 11 - GAME METRICS AND BIOME
Page 241 and 242: His research interests are biometri
Page 243 and 244: 5. R. L. Hazlett. Measuring emotion
Page 245 and 246: ARTICLE 12 - ANALYZING USER BEHAVIO
Page 247 and 248: elated to player-game interaction a
Page 249 and 250: 10. Kuniavsky, M.: Observing the Us
Page 251 and 252: ARTICLE 13 - PATTERNS OF PLAY: PLAY
Page 253 and 254: Play-personas are here introduced a
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It is only natural that game design
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4 Defining play-personas using game
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TRU is the eighth installment in th
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gameplay, descriptiveness of player
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In the case of TRU, the three param
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into which sections of the levels t
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Runners: This group completes the g
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17. Iser, W.: The Implied Reader. J
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