Exploring Scientific Knowledge Landscape in User Experience/Human Computer Interaction using Author Defined Keyword Network Analysis
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This paper explores scientific knowledge landscape at the intersection of user experience and human computer interaction field of study using Author Defined Keywords network analysis. 519 journal articles were retrieved from the Web of Science published within the time frame of 1990 to 2016 containing both concepts. The time-frame was partitioned into three periods (1990-1999, 2000-2009, and 2010-2016) to see temporal patterns over those periods. The time series trends were analyzed and it is increasing in every aspect. The network was created based on the ADKs co-occurrences in papers. Evolution map, stability diagram and strategic diagrams were used to see the dynamics of thematic areas in the field of study over periods. The discovered themes were explained in terms of centrality and density of thematic networks. The number of thematic areas and their stability increased over period but still nearly 50% between 2000-2009 and 2010-2016. Evolution relationships of thematic areas of different periods were also observed and it gets complex over periods. Themes are increasing and changing their positions in shaping the field of study over time in every quadrant of the strategic diagram. It is interesting to see how the field gets more motor themes and develop new ones over time.
Abstract
This paper explores scientific knowledge landscape at the intersection of user experience and human computer interaction field of study using Author Defined Keywords network analysis. 519 journal articles were retrieved from the Web of Science published within the time frame of 1990 to 2016 containing both concepts. The time-frame was partitioned into three periods (1990-1999, 2000-2009, and 2010-2016) to see temporal patterns over those periods. The time series trends were analyzed and it is increasing in every aspect. The network was created based on the ADKs co-occurrences in papers. Evolution map, stability diagram and strategic diagrams were used to see the dynamics of thematic areas in the field of study over periods. The discovered themes were explained in terms of centrality and density of thematic networks. The number of thematic areas and their stability increased over period but still nearly 50% between 2000-2009 and 2010-2016. Evolution relationships of thematic areas of different periods were also observed and it gets complex over periods. Themes are increasing and changing their positions in shaping the field of study over time in every quadrant of the strategic diagram. It is interesting to see how the field gets more motor themes and develop new ones over time.
참고문헌 (33)
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