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🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Chan, Hui-LingHas files: Yes

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    Selection of independent components based on cortical mapping of electromagnetic activity
    (2012-10-01)
    Chan, Hui-Ling
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    Chen, Yong-Sheng
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    Chen, Li-Fen
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    資訊工程學系
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    Department of Computer Science
    Independent component analysis (ICA) has been widely used to attenuate interference caused by noise components from the electromagnetic recordings of brain activity. However, the scalp topographies and associated temporal waveforms provided by ICA may be insufficient to distinguish functional components from artifactual ones. In this work, we proposed two component selection methods, both of which first estimate the cortical distribution of the brain activity for each component, and then determine the functional components based on the parcellation of brain activity mapped onto the cortical surface. Among all independent components, the first method can identify the dominant components, which have strong activity in the selected dominant brain regions, whereas the second method can identify those inter-regional associating components, which have similar component spectra between a pair of regions. For a targeted region, its component spectrum enumerates the amplitudes of its parceled brain activity across all components. The selected functional components can be remixed to reconstruct the focused electromagnetic signals for further analysis, such as source estimation. Moreover, the inter-regional associating components can be used to estimate the functional brain network. The accuracy of the cortical activation estimation was evaluated on the data from simulation studies, whereas the usefulness and feasibility of the component selection methods were demonstrated on the magnetoencephalography data recorded from a gender discrimination study.
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    How digital scaffolds in games direct problem-solving behaviors
    (2011-11-01)
    Sun, Chuen-Tsai
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    Wang, Dai-Yi
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    Chan, Hui-Ling
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    資訊工程學系
    ;
    Department of Computer Science
    Digital systems offer computational power and instant feedback. Game designers are using these features to create scaffolding tools to reduce player frustration. However, researchers are finding some unexpected effects of scaffolding on strategy development and problem-solving behaviors. We used a digital Sudoku game named Professor Sudoku to classify built-in critical features, frustration control and demonstration scaffolds, and to investigate their effects on player/learner behaviors. Our data indicate that scaffolding support increased the level at which puzzles could be solved, and decreased frustration resulting from excessive numbers of retries. However, it also reduced the number of unassisted placements (i.e., independently filled cells), and increased reliance on scaffolding tools, both of which are considered disadvantageous for learning. Among the three scaffold types, frustration control reduced the potential for players to feel stuck at certain levels, but also reduced the frequency of use of critical feature-making tools, which are thought to have greater heuristic value. We conclude that the simultaneous provision of critical feature and frustration control scaffolds may increase player reliance on available support, thereby reducing learning opportunities. Providing players with critical features and demonstration scaffolds at the same time increases reliance on available support for some players, but for most it encourages the development of solving strategies. (C) 2011 Elsevier Ltd. All rights reserved.