Play-Persona: Modeling Player Behaviour in Computer Games

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4.2.3 PLAYER EXPRESSION 53 4.3 PEIRCE’S TRICHOTOMY 53 4.3.1 ARTICLES TAGGING SYSTEM 53 4.4 THE TRIADIC RELATION 54 5. CONCLUSIONS AND FUTURE WORK 57 5.1 FUTURE WORK 58 5.1.2 APPLICATIONS OF PLAY-PERSONAS TO OTHER FIELDS 59 REFERENCES 61 ARTICLE 1 - TOWARDS A THEORY OF THE PLAYER: DESIGNING FOR EXPERIENCE 69 ARTICLE 2 - DESIGNING LEVELS FOR ENHANCED PLAYER EXPERIENCE: COGNITIVE TOOLS FOR GAME WORLD DESIGNERS 91 ARTICLE 3 - WAVING EXPERIENCES: PLAY VALUES, PLAY MODES AND PLAY PERSONAS 105 ARTICLE 4 - WEAVING EXPERIENCES IN VIRTUAL WORLDS: PLAY PERSONAS AND GAME METRICS 117 ARTICLE 5 - DEFINING PERSONAS IN GAMES USING METRICS 125 ARTICLE 6 - PLAY-PERSONAS: BEHAVIOURS AND BELIEF SYSTEMS IN USER-CENTRED GAME DESIGN 147 ARTICLE 7 - TOWARDS GAMEPLAY ANALYSIS VIA GAMEPLAY METRICS 163 ARTICLE 8 - ANALYZING SPATIAL USER BEHAVIOR IN COMPUTER GAMES USING GEOGRAPHIC INFORMATION SYSTEMS 185 ARTICLE 9 - PLAYER MODELING USING SELF-ORGANIZATION IN TOMB RAIDER: UNDERWORLD 207 ARTICLE 10 - PSYCHOLOGY OF PERSONALITY AND PLAY PERSONAS: DESIGNING FOR EXPERIENCE 229 ARTICLE 11 - GAME METRICS AND BIOMETRICS: THE FUTURE OF PLAYER EXPERIENCE RESEARCH (EXTENDED ABSTRACT) 239 ARTICLE 12 - ANALYZING USER BEHAVIOR VIA GAMEPLAY METRICS (EXTENDED ABSTRACT) 245 4
ARTICLE 13 – PATTERNS OF PLAY: PLAY-PERSONAS IN USER-CENTRED GAME DEVELOPMENT 251 5
Page 1: Play-Persona: Modeling Player Behav
Page 7 and 8: ACKNOWLEDGEMENTS I would like to th
Page 9: ABSTRACT This thesis proposes a fra
Page 12 and 13: Analysis seeks to break down comple
Page 14 and 15: Considering games as acts of commun
Page 16 and 17: ensemble - the syntagm. Selection r
Page 18 and 19: described in terms of likelihood of
Page 20 and 21: ook: FLUX, published in 2008. This
Page 23 and 24: 2. A THEORETICAL FRAMEWORK FOR MODE
Page 25 and 26: “positivism” and “anti-positi
Page 27 and 28: with the game world based solely on
Page 29 and 30: on that text. Later, Barthes introd
Page 31 and 32: according to their mental state. Wh
Page 33: Following the humanistic tradition
Page 36 and 37: In most games it is not realistic t
Page 38 and 39: ehaviour. Assessing assumptions on
Page 40 and 41: Independently on the identity of ea
Page 42 and 43: main focus of the brand has always
Page 44 and 45: 3.4 Play-persona as a lens (a poste
Page 46 and 47: Figure 10: personality and subperso
Page 49 and 50: 4. CREATING EXPERIENCES The MDA fra
Page 51 and 52: Play-styles are sets of isotopic ga
Page 53 and 54: 4.2.3 Player expression Player expr
Page 55:
Players will eventually understand
Page 58 and 59:
Combining both of these two approac
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REFERENCES 1. Aarseth, E. (1997): C
Page 63 and 64:
52. Hunicke, R. LeBlanc, M. & Zubek
Page 65:
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
Page 89 and 90:
14. DE SOUSA, R. 2003. Emotions. In
Page 91 and 92:
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
Page 115 and 116:
REFERENCES 1. Bozec, P. "My Everyth
Page 117 and 118:
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
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personas are hypotheses that emerge
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Expert Rookie Grunt Athlete Chess-
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Procedural description: Shooting: -
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In the case example for Tomb Raider
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2. Cooper, A.: The Inmates Are Runn
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ARTICLE 7 - TOWARDS GAMEPLAY ANALYS
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The requirement for improving user-
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The literature on game metrics is m
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ecause they all stem from in-house
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If a player kills a traitor they re
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Figure 3 (Top): diagram showing the
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titles where there is a trend towar
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a secondary variable together with
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player spent at the location and wh
Page 181 and 182:
3. Börner, K., Penumarthy, S.: Soc
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34. Thompson, C.: Halo 3: How Micro
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ARTICLE 8 - ANALYZING SPATIAL USER
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on basic statistical analysis metho
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visualization or for creating overv
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egarding actions undertaken in-game
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ased methods within the games area
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2.4 The EIDOS Metrics Suite The dat
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is played in Third-Person perspecti
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one cause of death, and performing
Page 201 and 202:
ArcGIS permits different layers to
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4. Cadez, I., Heckerman, D., Meek,
Page 205 and 206:
35. Whiteside, J., Archer, N. P., W
Page 207 and 208:
ARTICLE 9 - PLAYER MODELING USING S
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unsupervised learning in capturing
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3. TOMB RAIDER: UNDERWORLD The popu
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2 - Environment; the percent of tot
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(ESOM) [5] to emphasize the distinc
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populated middle-left cluster (Fig.
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weight values we repeat the trainin
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TABLE I THE FOUR PLAYING BEHAVIOR C
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(d) Number of Deaths, D (e) Complet
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equests for specific in-game puzzle
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13. G. N. Yannakakis and M. Maragou
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ARTICLE 10 - PSYCHOLOGY OF PERSONAL
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Personality is described as recogni
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Inputs: Outputs: Primary attack (ra
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Due to the fact that each game metr
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12. Jennett, C., Cox, A.L., Cairns,
Page 239 and 240:
ARTICLE 11 - GAME METRICS AND BIOME
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His research interests are biometri
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5. R. L. Hazlett. Measuring emotion
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ARTICLE 12 - ANALYZING USER BEHAVIO
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elated to player-game interaction a
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10. Kuniavsky, M.: Observing the Us
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ARTICLE 13 - PATTERNS OF PLAY: PLAY
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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
Page 269 and 270:
17. Iser, W.: The Implied Reader. J
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Play-Persona: Modeling Player Behaviour in Computer Games

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