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Measurement of Game Immersion through Subjective Approach
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
2017 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
Abstract [en]

Context. People in recent times are getting engaged more often in playing video games. Few play for enjoyment, few play for stress relaxation and so on. Generally, the degree of involvement of a player with the game is described as game immersion. People when immersed into playing a game doesn't realize that they are getting dissociated with the outside world and are losing track of time.

Objectives. In this research, the main objective is to explore the relationship between the game immersion and game experience using the five factors of game immersion. In addition, the study also involves exploring different methods that can be used to measure game immersion.

Methods. In this research, initially literature review has been conducted to explore the meaning of game immersion and also different methods that can be used to measure it and next user studies in the form an experiment was conducted to measure game immersion. After the experiment was conducted regression analysis was performed on the data obtained from the results to describe the relation between game immersion and game experience.

Results. After the experiment participants were asked to answer the IEQ questionnaire and the answers obtained from the questionnaire are analyzed using regression analysis. An inverse linear regression was observed between game immersion and game experience.

Conclusions. After analyzing the data, from the observed inverse linear regression, it is concluded that game immersion levels decrease with the increase in the game experience.

sted, utgiver, år, opplag, sider
2017. , s. 46
Emneord [en]
Game immersion, Components of game immersion, Counter-Strike: Global offensive, Call of Duty: Black Ops 2, First person shooter games.
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-14825OAI: oai:DiVA.org:bth-14825DiVA, id: diva2:1118754
Fag / kurs
DV2566 Master's Thesis (120 credits) in Computer Science
Utdanningsprogram
DVAXA Master of Science Programme in Computer Science
Presentation
2017-05-30, J1620, Hogskolan Grasvik, Karlskrona, 13:00 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2017-07-03 Laget: 2017-07-02 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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