期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：2
出版社：Journal of Theoretical and Applied
摘要：A variety of activities input formally by a user such as data from a calendar application usage, contains cognitive information that can be predicted through an analysis of formal recorded activities. Although these data are static and rigid, they still contain information which facilitates in understanding activity tendencies for today�s computing requirement. This research aims to classify activity and develop an activity classification framework based on personality and time scale. The framework formation involves data collection, analysing and classifying activities based on total frequencies of the OCEAN personality model and the time scale identified. The testing phase involved 6 evaluators who evaluated and classified activities based on the OCEAN personality model framework and time scale. The OCEAN model contains various adjectives that have been categorized into five dimensions; namely Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Experience. These classifications are used and accepted in the field of psychology attributed to personality and character development. The average percentages evaluated by the evaluators are 26.7% (Extraversion), 1.6% (Neuroticism), 59.0% (Conscientiousness), 26.3% (Agreeableness) and 4.9% (Openness to Experience). The results show the capability of the framework classifying activity with the selection of the Conscientiousness dimension by 60% and Extraversion dimension by 40% as dominant dimensions. The results revealed that the activity classification framework based on personality and time scale is capable of classifying activity to the dominant personality dimension.
关键词：Cognitive Science; OCEAN Model; Activity Classification; Personality Dominant; Calendar Data
