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12. The Politics of Storytelling

Author

Murphy, John W., Franz, Berkeley A., Choi, Jung Min, Callaghan, Karen A., Murphy, John W, Franz, Berkeley A., Choi, Jung Min, and Callaghan, Karen A.

Published
2017
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14. Community and Narratives

Author

Murphy, John W., Franz, Berkeley A., Choi, Jung Min, Callaghan, Karen A., Murphy, John W, Franz, Berkeley A., Choi, Jung Min, and Callaghan, Karen A.

Published
2017
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15. What Is Dialogue?

Author

Murphy, John W., Franz, Berkeley A., Choi, Jung Min, Callaghan, Karen A., Murphy, John W, Franz, Berkeley A., Choi, Jung Min, and Callaghan, Karen A.

Published
2017
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30. Association between brain amyloid deposition and longitudinal changes of white matter hyperintensities.

Author

Cha, Woo-Jin, Yi, Dahyun, Ahn, Hyejin, Byun, Min Soo, Chang, Yoon Young, Choi, Jung-Min, Kim, Kyungtae, Choi, Hyeji, Jung, Gijung, Kang, Koung Mi, Sohn, Chul-Ho, Lee, Yun-Sang, Kim, Yu Kyeong, and Lee, Dong Young

Abstract

Background: Growing evidence suggests that not only cerebrovascular disease but also Alzheimer’s disease (AD) pathological process itself cause cerebral white matter degeneration, resulting in white matter hyperintensities (WMHs). Some preclinical evidence also indicates that white matter degeneration may precede or affect the development of AD pathology. This study aimed to clarify the direction of influence between in vivo AD pathologies, particularly beta-amyloid (Aβ) and tau deposition, and WMHs through longitudinal approach. Methods: Total 282 older adults including cognitively normal and cognitively impaired individuals were recruited from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s Disease (KBASE) cohort. The participants underwent comprehensive clinical and neuropsychological assessment, [11C] Pittsburgh Compound B PET for measuring Aβ deposition, [18F] AV-1451 PET for measuring tau deposition, and MRI scans with fluid-attenuated inversion recovery image for measuring WMH volume. The relationships between Aβ or tau deposition and WMH volume were examined using multiple linear regression analysis. In this analysis, baseline Aβ or tau were used as independent variables, and change of WMH volume over 2 years was used as dependent variable to examine the effect of AD pathology on increase of WMH volume. Additionally, we set baseline WMH volume as independent variable and longitudinal change of Aβ or tau deposition for 2 years as dependent variables to investigate whether WMH volume could precede AD pathologies. Results: Baseline Aβ deposition, but not tau deposition, had significant positive association with longitudinal change of WMH volume over 2 years. Baseline WMH volume was not related with any of longitudinal change of Aβ or tau deposition for 2 years. We also found a significant interaction effect between baseline Aβ deposition and sex on longitudinal change of WMH volume. Subsequent subgroup analyses showed that high baseline Aβ deposition was associated with increase of WMH volume over 2 years in female, but not in male. Conclusions: Our findings suggest that Aβ deposition accelerates cerebral WMHs, particularly in female, whereas white matter degeneration appears not influence on longitudinal Aβ increase. The results also did not support any direction of influence between tau deposition and WMHs. [ABSTRACT FROM AUTHOR]

Published
2024
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35. The Fair Ai: The Use of Ai Mitigates Negative Reactions Toward Unfavorable Decisions

Author

Choi, Jung Min, Chao, Man Chi, Choi, Jung Min, and Chao, Man Chi

Abstract

Individuals often encounter unfavorable decision outcomes at work, such as being rejected for a promotion, bonus, or even getting laid off. In today’s technology-driven workplace, employees may receive such decisions not only from human, but also from AI. Given that unfavorable decisions are often received negatively, would the use of AI (vs. human) mitigate or exacerbate the impact of unfavorable decisions on recipients’ reactions? The current research addresses this question by examining the role of fairness perception. Results from three pre-registered experiments with diverse samples from Asia, North America, Europe, and Africa showed that when the decision was unfavorable, AI was perceived as fairer than human. Importantly, the higher fairness perception led to less negative reaction toward the unfavorable outcome when the decision was made by AI (vs. human). Furthermore, this effect is generalizable across various organizational contexts. Theoretical and practical implications of the findings are discussed.

Published
2023

39. Multi-touch Based Standard UI Design of Car Navigation System for Providing Information of Surrounding Areas

Author

Choi, Jung-Min, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Marcus, Aaron, editor

Published
2013
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40. A Design-Supporting Tool for Implementing the Learning-Based Approach: Accommodating Users’ Domain Knowledge into Design Processes

Author

Choi, Jung-Min, Sato, Keiichi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Kurosu, Masaaki, editor

Published
2011
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45. Designing Interaction as a Learning Process: Supporting Users' Domain Knowledge Development in Interaction

Author

Choi, Jung-Min

Abstract

The primary concern in current interaction design is focused on how to help users solve problems and achieve goals more easily and efficiently. While users' sufficient knowledge acquisition of operating a product or system is considered important, their acquisition of problem-solving knowledge in the task domain has largely been disregarded. As a result, domain knowledge has not been appropriately incorporated into design processes, and users' learning of domain problem-solving methods tends to be detached from actual user experiences. Without sufficient domain knowledge, users will not be able to creatively adjust their product/system use in order to achieve satisfactory results and generate better experiences. This research aims to develop a methodology for designing interactive products/systems that can help users actively develop their problem-solving abilities through interaction. This new approach, named the Learning-Based Approach (LBA), is framed by theoretical and empirical investigations of users' knowledge development during product use. Based on theoretical reviews, the present research proposes some models of users' learning processes, which describe motivational factors, cognitive processes, and contextual influences on learning. This research also suggests some design principles for enhancing users' learning in interaction, based on theories and user study results. In these models and principles, users' domain knowledge development is posited as a key factor for improving current user-product interaction. In order to help designers effectively incorporate domain knowledge into design processes, this research proposes some LBA methods that consist of several phases: 1) understanding domain knowledge (DK) structure; 2) analyzing users' operational tasks; 3) mapping between DK and tasks; 4) delivering DK via user interfaces; and 5) developing prototype specifications. A computerized design-supporting tool is developed for helping designers apply the methods to their design practices: this tool is named the Domain Knowledge-based Design Tool (DKT). The LBA methods are demonstrated by developing a digital camera prototype, and are evaluated by conducting user tests with the prototype. The test results show that the LBA-applied design positively affected users' motivation for learning and their domain knowledge development. This dissertation concludes by identifying some research contributions and limitations, and some directions for the future development of the research. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2010

48. Risk of Dementia After Smoking Cessation in Patients With Newly Diagnosed Atrial Fibrillation

Author

Lee, Hui-Jin, Lee, So-Ryoung, Choi, Eue-Keun, Park, Sang-Hyun, Chung, Jae-Wook, Choi, Jung-Min, Han, Min-Ju, Jung, Jin-Hyung, Han, Kyung-Do, Oh, Seil, and Lip, Gregory Y. H.

Subjects
Cohort Studies, Male, Smokers, Atrial Fibrillation, behavior and behavior mechanisms, Humans, Dementia, Female, Smoking Cessation, General Medicine, Dementia/complications, Middle Aged, Atrial Fibrillation/complications
Abstract

Importance: Incident atrial fibrillation (AF) is associated with an increased risk of dementia. However, data on the association between smoking cessation after AF diagnosis and dementia risk are limited.Objective: To evaluate the association between changes in smoking status after AF diagnosis and dementia risk.Design, Setting, and Participants: This nationwide cohort study with 126 252 patients used data from the Korean National Health Insurance Service database, including patients who had a national health checkup examination within 2 years before and after AF diagnosis between January 1, 2010, and December 31, 2016. Based on their smoking status, participants were classified as never smokers, ex-smokers, quit smokers, and current smokers. Ex-smokers were defined as those who had quit smoking before the first examination and remained quit until the second examination. Patients who were current smokers at the first health examination but had quit smoking before the second examination were classed as quit smokers. The index date was the second health examination. Patients were followed up until dementia, death, or the study period ended (December 31, 2017), whichever occurred first. Data were analyzed from January 13, 2020, to March 29, 2022.Exposures: Smoking cessation after newly diagnosed AF.Main Outcomes and Measures: Dementia, including Alzheimer disease and vascular dementia, was the primary outcome. Cox proportional hazards regression model was used to estimate hazard ratios.Results: A total of 126 252 patients (mean [SD] age, 62.6 [12.0] years; 61.9% men) were included in the analysis. The mean (SD) CHA2DS2-VASc score, which measures the risk of ischemic stroke, was 2.7 (1.7). Smoking status of the total study population was as follows: 65 579 never smokers (51.9%), 34 670 ex-smokers (27.5%), 8919 quit smokers (7.1%), and 17 084 current smokers (13.5%). During a median of 3 years of follow-up, dementia occurred in 5925 patients (1.11 per 1000 person-years). After multivariable adjustment, the risk of quit smokers was significantly lower than that of current smokers (hazard ratio, 0.83 [95% CI, 0.72-0.95]).Conclusions and Relevance: The findings of this cohort study suggest that all types of smoking were associated with a significantly higher risk of dementia in patients with new-onset AF. Smoking cessation after AF diagnosis was associated with a lower risk of dementia than among current smokers. These findings may support promoting smoking cessation to reduce dementia risk in patients with new-onset AF.

Published
2022
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