• International Journal of Contents
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• v.9 no.1
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• pp.98-103
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• 2013

The study investigated USFK's crisis communication responding to the case of two Koran girls' death. The two girls were hit by an American tank accidently. The accident has resulted in anti-American demonstrations by a large number of South Korean. The current research attempted to see what problems USFK's crisis communication with Korean publics. Through analyzing USFK news release in Korea and Army News (ARNEWS) in America regarding the case, the study answered what crisis communication strategies USFK used and How the USFK responded to the crisis. The results showed that USFK used full apology strategy and its crisis response was immediate, but prior reputation of USFK seemed making USFK's effort fruitless.

• Korea Journal of Hospital Management
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• v.14 no.1
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• pp.99-122
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• 2009

In this study, the authors developed typologies of failures and recovery strategies in healthcare services, adopting the research framework of Kelley et al.(1993), Hoffman, et al.(1995), and Forbes et al.(2005). Data were collected form a sample of 559 respondents recruited in several regions of Korea through self-administered questionnaires. Data collection was done at hospitals and clinics respondents were visiting. The study has identified typologies of 21 failures and 10 recovery strategies in health care services. Results shows that "insufficient explanation by doctors" was the most frequent service failure followed by "insincere attitude of administrative employees" and "insincere attitude of nurses. "The type of recovery (compensation) that most of the respondents have received was apology from the healthcare service providers while the recovery that most respondents wanted to receive was sufficient explanation, suggesting that there is a significant gap between what is wanted and what is offered. Implications for healthcare service providers as well as limitations of the current study were discussed. Directions for further research were also suggested.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.59-70
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• 2018

With the breakthrough of speech recognition technology, conversational agents have become pervasive through smartphones and smart speakers. The recognition accuracy of speech recognition technology has developed to the level of human beings, but it still shows limitations on understanding the underlying meaning or intention of words, or understanding long conversation. Accordingly, the users experience various errors when interacting with the conversational agents, which may negatively affect the user experience. In addition, in the case of smart speakers with a voice as the main interface, the lack of feedback on system and transparency was reported as the main issue when the users using. Therefore, there is a strong need for research on how users can better understand the capability of the conversational agents and mitigate negative emotions in error situations. In this study, we applied social strategies, "forewarning" and "apology", to conversational agent and investigated how these strategies affect users' perceptions of the agent in breakdown situations. For the study, we created a series of demo videos of a user interacting with a conversational agent. After watching the demo videos, the participants were asked to evaluate how they liked and trusted the agent through an online survey. A total of 104 respondents were analyzed and found to be contrary to our expectation based on the literature study. The result showed that forewarning gave a negative impression to the user, especially the reliability of the agent. Also, apology in a breakdown situation did not affect the users' perceptions. In the following in-depth interviews, participants explained that they perceived the smart speaker as a machine rather than a human-like object, and for this reason, the social strategies did not work. These results show that the social strategies should be applied according to the perceptions that user has toward agents.

• Culinary science and hospitality research
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• v.11 no.2
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• pp.14-31
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• 2005

The findings of the study would be valuable for the basis of marketing strategies to be implemented in the foodservice industry. As a result of the exploratory factor analysis, major consumer dissatisfaction factors identified in this study can be categorized based on the followings: food, service, and facilities. It appears that most preferred medium for unsatisfied consumers to file their employees how to cope with complaints on the Internet. In terms of psychological compensation, it appears that consumers need to be provided with a through explanation in addition to a heartfelt apology against a complaint. On the physical side of compensation solution for everybody. The ideal timing of compensation for complaints can vary but it would be appropriate to leave it up to consumers to choose when they want to be rewarded.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.19-34
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• 2021

The aim of this study is verifying the effects of chatbot's error types and structures of error message on attitude, behavior intention towards the chatbot and perceived usability of the chatbot. The error types of chatbot are divided into 'experience' error and 'agency' error, which set different expectancy level, according to mind perception theory. The structures of error message were either unstructured condition composed of error specification only or structured condition composed of apology, explanation and willingness of improvement. It was found that score of perceived usability was higher in experience error condition than agency error condition. Also, all three scores of dependent variables were higher in structured error message condition than unstructured error message condition. Furthermore, expectation gap of experience didn't predict the dependent variables but expectation gap of agency predicted all three dependent variables. Finally, the tendency of interaction effect between the error type and the structure of the error message on expectation gap of agency was observed. This study confirmed the mitigating effect of structured error messages and the possibility that these effects may vary by the type of error. The result is expected to be applicable to design of error coping strategies that enhance user experience.