Summary: | 碩士 === 實踐大學 === 工業產品設計學系碩士班 === 101 === Subjective Complexity is one of the most important factors when considering interface usability. Arising from the unpredictable individual difference among general users, this study distinguished participants by the field dependence-independence construct within cognitive style research, and manipulated interfaces by varying the amount of information presented on each screen as well as the structures of information nodes. Two Experiments were conducted to acquire responses from participants.
Experiment 1 showed that after operating 3 uploading interfaces, the differences among interfaces were not significant to all participants, but the main effect between field dependent participants (FDs) and field independent participants (FIs) were significant. FDs experienced higher subjective complexity, and gave lower usability rating compared to FIs. Experiment 2 showed that after operating 4 browse searching interfaces in different kinds of interaction models, the main effects of field dependence-independence were not significant on subjective complexity, task load, system usability, and operation time. The main effects of different interaction models were significant only on operation time. FDs felt the rate of information change and overall cognitive complexity were higher in the hierarchical model, whereas FIs felt there were no differences among 4 interaction models and the hierarchical model was the simplest one when considering overall cognitive complexity. There were interaction effects on “performance index” between FIs/FDs and some interaction models: FIs felt their performance was worse in tab model while FDs felt the opposite. In general, this study showed that both FIs and FDs felt higher subjective complexity in Experiment 2(browse searching) than Experiment 1(uploading). It also suggested that accordion model was considered a simpler interface by all participants; “perceptual landmark” and “overlap” are more universal as well as time-saving techniques to decrease the cognitive load when users are switching among information nodes.
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