Play-Persona: Modeling Player Behaviour in Computer Games

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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
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
Page 61 and 62: REFERENCES 1. Aarseth, E. (1997): C
Page 63: 52. Hunicke, R. LeBlanc, M. & Zubek
Page 69 and 70: ARTICLE 1 - TOWARDS A THEORY OF THE
Page 71 and 72: flow between the player, the avatar
Page 73 and 74: 6. The player constructs knowledge
Page 75 and 76: are sets of rational, bodily, and b
Page 77 and 78: ehaviorism asserting that a compreh
Page 79 and 80: 4.3 Origin of subpersonalities Acco
Page 81 and 82: environment and the emanating subpe
Page 83 and 84: flow line), one must increase the c
Page 85 and 86: 7.1 Explorer’s path FIGURE 5 Expl
Page 87 and 88: 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
Page 93 and 94: 2 STRUCTURE OF A GAME LEVEL The fir
Page 95 and 96: 3.2 Symbolical Reading The movement
Page 97 and 98: The hangar is open for workers and
Page 99 and 100: gather info, spying through keyhole
Page 101 and 102: 6.2 Play-Personas I am going to def
Page 103 and 104: The Butcher persona would have quit
Page 105 and 106: ARTICLE 3 - WAVING EXPERIENCES: PLA
Page 107 and 108: types" [12]. Personas are construct
Page 109 and 110: esults in the relatively easy task
Page 111 and 112: Crew actions schemas are: • Squad
Page 113 and 114: 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
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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
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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,
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35. Whiteside, J., Archer, N. P., W
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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,
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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
Page 265 and 266:
into which sections of the levels t
Page 267 and 268:
Runners: This group completes the g
Page 269 and 270:
17. Iser, W.: The Implied Reader. J
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