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Developing Playability Heuristics Based on Nouns and Adjectives from Online Game Reviews
Journal article   Peer reviewed

Developing Playability Heuristics Based on Nouns and Adjectives from Online Game Reviews

Miaoqi Zhu, Fan Zhao, Xiaowen Fang and Christopher Moser
International journal of human-computer interaction, Vol.33(3), pp.241-253
01-01-2017

Abstract

Computer Science Computer Science, Cybernetics Engineering Ergonomics Science & Technology Technology
The objective of this study is to develop playability heuristics based on a lexical analysis of nouns and adjectives frequently used in online game reviews. Built on a previous lexical analysis of adjectives in online game reviews, it is argued that nouns together with adjectives will likely provide more contextual information than adjectives alone, and therefore the patterns among these words can be used to develop playability heuristics. A revised lexical approach is adopted to analyze nouns and adjectives from 821,122 online reviews. Ninety seven factors emerge from this analysis. Based on the nouns and adjectives highly loaded on these factors, a new process is introduced and 90 playability heuristics are derived. This study significantly expands the current pool of playability heuristics that facilitate the computer game design process. The lexical method adopted in this study demonstrates its effectiveness in developing interface design guidelines based on a large number of online reviews on a system or product. It can be extended to other fields that are human-behavior centered.

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