Consumers\u27 Negative Electronic Word of Mouth: Non-complainers, Bad-mouthers, Dissatisfied complainers, and Satisfied complainers

Current literature on negative electronic word of mouth (e-WOM) points out that spreading a dissatisfying purchase experience on the Internet is a public action, and it can occur without redress-seeking. Some consumers immediately turn to retailers\u27 websites or review websites to post negative reviews without contacting the retailer to seek remedies, redress or restitution. However, it is necessary to encourage consumers to seek redress so that the retailers receive opportunities to address and solve the issues. Therefore, the purpose of the study is to identify factors influencing customers\u27 redress-seeking and negative e-WOM behaviors. This study identified four types of dissatisfied consumers (i.e., non-complainers, bad-mouthers, dissatisfied complainers, and satisfied complainers) based on possible predictors (i.e., level of dissatisfaction, perceived likelihood of successful redress, perceived time effort and cost in seeking redress, brand switching cost) and compared and contrasted these consumer groups

Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment

While measuring socioeconomic indicators is critical for local governments to make informed policy decisions, such measurements are often unavailable at fine-grained levels like municipality. This study employs deep learning-based predictions from satellite images to close the gap. We propose a method that assigns a socioeconomic score to each satellite image by capturing the distributional behavior observed in larger areas based on the ground truth. We train an ordinal regression scoring model and adjust the scores to follow the common power law within and across regions. Evaluation based on official statistics in South Korea shows that our method outperforms previous models in predicting population and employment size at both the municipality and grid levels. Our method also demonstrates robust performance in districts with uneven development, suggesting its potential use in developing countries where reliable, fine-grained data is scarce

Doctoral Recitals

Recital presented at the UNT College of Music Recital Hall in partial fulfillment of the Doctor of Musical Arts (DMA) degree

Consumers' Negative Electronic Word of Mouth: Non-complainers, Bad-mouthers, Dissatisfied complainers, and Satisfied complainers

Current literature on negative electronic word of mouth (e-WOM) points out that spreading a dissatisfying purchase experience on the Internet is a public action, and it can occur without redress-seeking. Some consumers immediately turn to retailers' websites or review websites to post negative reviews without contacting the retailer to seek remedies, redress or restitution. However, it is necessary to encourage consumers to seek redress so that the retailers receive opportunities to address and solve the issues. Therefore, the purpose of the study is to identify factors influencing customers' redress-seeking and negative e-WOM behaviors. This study identified four types of dissatisfied consumers (i.e., non-complainers, bad-mouthers, dissatisfied complainers, and satisfied complainers) based on possible predictors (i.e., level of dissatisfaction, perceived likelihood of successful redress, perceived time effort and cost in seeking redress, brand switching cost) and compared and contrasted these consumer groups.</p

Doctoral Recitals

Recital presented at the UNT College of Music Concert Hall in partial fulfillment of the Doctor of Musical Arts (DMA) degree

A Visual Analytics Framework for Inter-Hospital Transfer Network of Stroke Patients

Effective inter-hospital coordination is crucial in improving the stroke treatment process and outcomes. The introduction of endovascular thrombectomy (EVT) further emphasized the importance of coordination. Although previous studies considered various clinical data besides stroke in terms of the network structure between hospitals, a majority of these studies performed only quantitative analyses instead of topological analyses. This study proposes a new framework (PatientFlow) for constructing a network based on stroke patient transfer data and performing exploratory analysis. The proposed framework can visualize the network structure among hospitals at the national level and analyze the detailed structure through dynamic queries. The hub-and-spoke structure for each cluster derived through community detection can be compared visually and analyzed quantitatively using network measures. Further, the relationship between regions can be analyzed by aggregating the transfer of patients by province. PatientFlow allows medical researchers to perform an exploratory analysis to understand the network at the national, provincial, and community levels with multiple coordinated views

Characteristics of Visuo-Spatial Information Processing in Children with Autism Spectrum Disorder

Although atypical sensory processing is a core feature of autism spectrum disorder (ASD), there is considerable heterogeneity among ASD individuals in the modality and symptoms of atypical sensory processing. The present study examined visual processing of children with ASD, focusing on the complexity and orientation of visual information. Age- and -IQ-matched Korean children (14 ASD and 14 typically-developing (TD) children) received an orientation discrimination task involving static spatial gratings varied in complexity (simple versus complex) and orientation (horizontal versus vertical). The results revealed that ASD children had difficulty perceiving complex information regardless of orientation, whereas TD children had more difficulty with vertical gratings than horizontal gratings. Thus, group-level differences between ASD and TD children appeared greater when gratings were presented horizontally. Unlike ASD adult literature, however, ASD children did not show superior performance on simple gratings. Our findings on typical and atypical processing of ASD children have implications for both understanding the characteristics of ASD children and developing diagnostic tools for ASD

Validation of a mobile game-based assessment of cognitive control among children and adolescents.

Cognitive control is the most fundamental psychological function that underlies the execution of many other psychological functions. A mobile game application could be a useful strategy to evaluate cognitive control in the groups of children and adolescents. Although a serious game that is based on gamification would be an optimal platform for the administration of behavioral and clinical assessments of children and adolescents, most studies on gamification have been conducted among adults and older adults than among children and adolescents. This study aimed to assess cognitive control using a mobile game that used gamification and compared the results to those from traditional neuropsychological tests for children and adolescents. In order to address this objective, this study used a serious game, namely, "CoCon," which was developed to assess cognitive control in children and adolescents. This study included 100 participants from a community sample (mean age = 11.75 years, ranged from 9 to 16 years, SD = 1.40 years; Male = 59(59%), Female = 41(41%)). The analyses interrogated the relationships among various game behaviors scores of CoCon, the standardized neuropsychological tests (K-WISC-IV, CTT, and Stroop), and self-reporting executive function difficulty questionnaire. As results, a mobile game application-based assessment proved to be a reliable and valid measure of the cognitive control in children and adolescents. The index scores from the CoCon were significantly related to various cognitive control functions and differentiated between the high and low cognitive control groups. Specifically, even though the participants completed the mobile game 'CoCon' in their natural habitats, the CoCon scores were comparable to the measures from standard neuropsychological tests. In conclusion, the present findings suggest that mobile games that use advanced technology and sophisticated psychological strategies can serve as a new and expanded platform for the administration of psychological assessments