A Game Assessment Metric for the Online Gamer
This paper describes a new game assessment metric for the online gamer. The metric is based on a mathematical model currently used for network planning assessment. Beside the traditional network-based parameters such as delay, jitter and packet loss, new parameters based on online players' game...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Stefan cel Mare University of Suceava
2007-11-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2007.02001 |
| _version_ | 1829115816721776640 |
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| author | DENIEFFE, D. CARRIG, B. MARSHALL, D. PICOVICI, D. |
| author_facet | DENIEFFE, D. CARRIG, B. MARSHALL, D. PICOVICI, D. |
| author_sort | DENIEFFE, D. |
| collection | DOAJ |
| description | This paper describes a new game assessment metric for the online gamer. The metric is based on a mathematical model currently used for network planning assessment. Beside the traditional network-based parameters such as delay, jitter and packet loss, new parameters based on online players' game experience/knowledge are introduced. The metric aims to estimate game quality as perceived by an online player. Measurements can be achieved in real-time or near real-time and could be useful to both online game players and game service providers. In order to validate and calibrate the proposed metric a subjective game quality assessment is also proposed. Two 5-point scales are introduced: a game-quality scale and a game playing-effort scale. The mean average of each scales termed, as Mean Opinion Score (MOS), will indicate the game quality (MOSGQE) and the playing-effort required (MOSGPE). The results obtained using subjective tests are divided in two parts. The first part is used during the development and calibration of the proposed objective algorithm. The second part is used to validate the proposed algorithm. The algorithm's performance can be measured using Pearson correlation between the subjective and objective MOSGQE scores. |
| first_indexed | 2024-12-12T16:24:31Z |
| format | Article |
| id | doaj.art-c7f5f3e3a46c47a7b931260cef9c8d95 |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-12T16:24:31Z |
| publishDate | 2007-11-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-c7f5f3e3a46c47a7b931260cef9c8d952022-12-22T00:18:55ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002007-11-017236A Game Assessment Metric for the Online GamerDENIEFFE, D.CARRIG, B.MARSHALL, D.PICOVICI, D.This paper describes a new game assessment metric for the online gamer. The metric is based on a mathematical model currently used for network planning assessment. Beside the traditional network-based parameters such as delay, jitter and packet loss, new parameters based on online players' game experience/knowledge are introduced. The metric aims to estimate game quality as perceived by an online player. Measurements can be achieved in real-time or near real-time and could be useful to both online game players and game service providers. In order to validate and calibrate the proposed metric a subjective game quality assessment is also proposed. Two 5-point scales are introduced: a game-quality scale and a game playing-effort scale. The mean average of each scales termed, as Mean Opinion Score (MOS), will indicate the game quality (MOSGQE) and the playing-effort required (MOSGPE). The results obtained using subjective tests are divided in two parts. The first part is used during the development and calibration of the proposed objective algorithm. The second part is used to validate the proposed algorithm. The algorithm's performance can be measured using Pearson correlation between the subjective and objective MOSGQE scores.http://dx.doi.org/10.4316/AECE.2007.02001subjective game quality assessmentobjective game quality assessmentend-user opinion estimation |
| spellingShingle | DENIEFFE, D. CARRIG, B. MARSHALL, D. PICOVICI, D. A Game Assessment Metric for the Online Gamer Advances in Electrical and Computer Engineering subjective game quality assessment objective game quality assessment end-user opinion estimation |
| title | A Game Assessment Metric for the Online Gamer |
| title_full | A Game Assessment Metric for the Online Gamer |
| title_fullStr | A Game Assessment Metric for the Online Gamer |
| title_full_unstemmed | A Game Assessment Metric for the Online Gamer |
| title_short | A Game Assessment Metric for the Online Gamer |
| title_sort | game assessment metric for the online gamer |
| topic | subjective game quality assessment objective game quality assessment end-user opinion estimation |
| url | http://dx.doi.org/10.4316/AECE.2007.02001 |
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