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    Manipulating Users’ Trust of Autonomous Products With Affective Priming 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 005:;page 051402-1
    Author(s): Liao, Ting; MacDonald, Erin F.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Autonomous products, which perform many functions on their own with limited user input, require users to exhibit trust at an appropriate level before use. Research in product trust has thus far focused on the product ...
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    Validating Perceived Sustainable Design Features Using a Novel Collage Approach 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 003:;page 31404-1
    Author(s): El Dehaibi, Nasreddine; Liao, Ting; MacDonald, Erin F.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Designers are challenged to create sustainable products that resonate with customers, often focusing on engineered sustainability while neglecting perceived sustainability. We previously proposed a method for extracting ...
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    Interannual Variability and Trends of Extratropical Ozone. Part I: Northern Hemisphere 

    Source: Journal of the Atmospheric Sciences:;2008:;Volume( 065 ):;issue: 010:;page 3013
    Author(s): Jiang, Xun; Pawson, Steven; Camp, Charles D.; Nielsen, J. Eric; Shia, Run-Lie; Liao, Ting; Limpasuvan, Varavut; Yung, Yuk L.
    Publisher: American Meteorological Society
    Abstract: The authors apply principal component analysis (PCA) to the extratropical total column ozone from the combined merged ozone data product and the European Centre for Medium-Range Weather Forecasts assimilated ozone from ...
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    Interannual Variability and Trends of Extratropical Ozone. Part II: Southern Hemisphere 

    Source: Journal of the Atmospheric Sciences:;2008:;Volume( 065 ):;issue: 010:;page 3030
    Author(s): Jiang, Xun; Pawson, Steven; Camp, Charles D.; Nielsen, J. Eric; Shia, Run-Lie; Liao, Ting; Limpasuvan, Varavut; Yung, Yuk L.
    Publisher: American Meteorological Society
    Abstract: A principal component analysis (PCA) is applied to the Southern Hemisphere (SH) total column ozone following the method established for analyzing the data in the Northern Hemisphere (NH) in a companion paper. The interannual ...
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