• Industry Promotion Research
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• v.9 no.4
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• pp.115-120
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• 2024

This study aims to analyze user reviews of Hyundai Motor Group's 'BlueLink' connected car service to identify key dissatisfaction factors and derive future UX planning directions. To achieve this, review data from the Google Play Store for BlueLink service over one year was collected and classified into satisfaction levels: high, medium, and low. Reviews categorized as medium and low were analyzed to extract key keywords, which were then subjected to social network analysis. Based on the results of the social network analysis, key dissatisfaction factors were classified into three groups with high simultaneous appearance frequencies: 'update-error related dissatisfaction,' 'vehicle-condition related dissatisfaction,' and 'Galaxy-Watch related dissatisfaction.' And I tried to identify key dissatisfaction factors through review data that showed related keywords together. The research results are expected to contribute to improving domestic connected car services by suggesting enhancement strategies, thereby fostering digital innovation in the automotive industry and enhancing user satisfaction.

• Journal of the Ergonomics Society of Korea
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• v.30 no.5
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• pp.651-657
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• 2011

Objective: The aim of this study is to investigate the system to integrate and manage the in-vehicle interactions between the drivers and the in-vehicle mobile IT devices. Background: As the mobile IT technology is being used anywhere, the drivers are interacting with the mobile IT device on driving situations. The distraction of the driver's attention causes the car accidents. It is necessary to develop the HVI(Human Vehicle Interface System) to integrate and manage the in-vehicle interactions with IT devices. Method: The HVI System is designed not as the interfacing subject but as the supervising system to monitor the driver's status and support the driver to concentrate on the primary tasks. The HVI system collects the status information of the car and driver and estimate the driving workload. Results: The HVI system controls how to provide the output information based on the driving workload. We implemented the HVI system prototype and applied in the real vehicle with the HVI cell phone and the HVI car navigation system. Conclusion: Depending on the driving situations, the HVI system prevented the information output in dangerous situation and diversified the modality and the intensity of the output information. Application: We will extend the HVI system to be connected the other various IT devices and verity the effectiveness of the system through various experiments.