• Title/Summary/Keyword: In-vehicle Infotainment System

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Semantic Network of User Experience in Automotive Connectivity Systems: Comparative Analysis of Korean and the US Automakers (전기차 커넥티비티 시스템의 사용자 경험 의미연결망: 한국과 미국의 비교를 중심으로)

  • Choi, Bo-Mi;Lee, Da-Young;Choi, Junho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.537-544
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    • 2022
  • As the penetration of electric vehicles and development of new models, user experience factors are getting more important in designing connectivity systems for car infotainment services. The primary object of this study is to identify commonalities and differences by comparing user experience factors in the Korean and US electric vehicle markets. This study derived connectivity keywords by text mining the vehicle introduction on the market in each country, and performed centrality, cluster analysis and visualization mapping using the semantic network analysis. As a result, the Korean new electric vehicle connectivity service mainly focused on driving functions such as driving, parking assistance, and charging, while US focused on device connection, convenience function control, app use, entertainment viewing. Based on the analysis, this study presented the practical implications in marketing, system design, and HMI design.

The Effect of Barge-in Function of In-Vehicle Voice Conversational Interface on Driving Experience - Focus on Car Navigation and Music Services - (차량용 음성대화 인터페이스의 Barge-in 기능이 주행 경험에 미치는 효과 연구 - 내비게이션 및 음악서비스 중심으로 -)

  • Kim, Taek Soo;Kim, Ji Hyun;Choi, Jun Ho
    • Design Convergence Study
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    • v.17 no.1
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    • pp.17-28
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    • 2018
  • The manipulation of the device by hand while driving is a major factor to increase the risk of accidents, and the design of in-vehicle voice conversational interface that can compensate for this is being actively researched. The purpose of this study is to investigate the effect of the use of the barge-in function of in-vehicle voice interface on user experience. Participants were asked to carry out two tasks, one for navigation and one for music play. We conducted a survey to measure the functional user 's experience after each participant' s tasks, and measured usefulness, usability, satisfaction, and emotion as user experience factors. As a result, Barge-in has been rated as the better choice for most experience factors. There was a significant effect on usability dimension in navigation task and significant effects on usability dimension and emotional dimension in music play task. So it was found that barge-in function had a positive effect on actual user's usability and emotional dimension.

Performance Analysis of Adaptive Channel Estimation Scheme in V2V Environments (V2V 환경에서 적응적 채널 추정 기법에 대한 성능 분석)

  • Lee, Jihye;Moon, Sangmi;Kwon, Soonho;Chu, Myeonghun;Bae, Sara;Kim, Hanjong;Kim, Cheolsung;Kim, Daejin;Hwang, Intae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.8
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    • pp.26-33
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    • 2017
  • Vehicle communication can facilitate efficient coordination among vehicles on the road and enable future vehicular applications such as vehicle safety enhancement, infotainment, or even autonomous driving. In the $3^{rd}$ Generation Partnership Project (3GPP), many studies focus on long term evolution (LTE)-based vehicle communication. Because vehicle speed is high enough to cause severe channel distortion in vehicle-to-vehicle (V2V) environments. We can utilize channel estimation methods to approach a reliable vehicle communication systems. Conventional channel estimation schemes can be categorized as least-squares (LS), decision-directed channel estimation (DDCE), spectral temporal averaging (STA), and smoothing methods. In this study, we propose a smart channel estimation scheme in LTE-based V2V environments. The channel estimation scheme, based on an LTE uplink system, uses a demodulation reference signal (DMRS) as the pilot symbol. Unlike conventional channel estimation schemes, we propose an adaptive smoothing channel estimation scheme (ASCE) using quadratic smoothing (QS) of the pilot symbols, which estimates a channel with greater accuracy and adaptively estimates channels in data symbols. In simulation results, the proposed ASCE scheme shows improved overall performance in terms of the normalized mean square error (NMSE) and bit error rate (BER) relative to conventional schemes.

Determinants of Safety and Satisfaction with In-Vehicle Voice Interaction : With a Focus of Agent Persona and UX Components (자동차 음성인식 인터랙션의 안전감과 만족도 인식 영향 요인 : 에이전트 퍼소나와 사용자 경험 속성을 중심으로)

  • Kim, Ji-hyun;Lee, Ka-hyun;Choi, Jun-ho
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.573-585
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    • 2018
  • Services for navigation and entertainment through AI-based voice user interface devices are becoming popular in the connected car system. Given the classification of VUI agent developers as IT companies and automakers, this study explores attributes of agent persona and user experience that impact the driver's perceived safety and satisfaction. Participants of a car simulator experiment performed entertainment and navigation tasks, and evaluated the perceived safety and satisfaction. Results of regression analysis showed that credibility of the agent developer, warmth and attractiveness of agent persona, and efficiency and care of the UX dimension showed significant impact on the perceived safety. The determinants of perceived satisfaction were unity of auto-agent makers and gender as predisposing factors, distance in the agent persona, and convenience, efficiency, ease of use, and care in the UX dimension. The contributions of this study lie in the discovery of the factors required for developing conversational VUI into the autonomous driving environment.

A Study on Dynamic Behavior and Power Management Method of MOST Network Devices (MOST 네트워크 장치의 동적 행동과 전원 관리 방법에 관한 연구)

  • Jeon, Young-Joon;Jang, Si-Woong;Yu, Yun-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.761-764
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    • 2010
  • Interest in vehicle infotainment system, that provides both entertainment of driving and information for safe and convenient driving, has been recently increased. MOST is defined as the network transmitting high-bandwidth infortainment data to vehicle, and it has been standardized as MOST150. In this research, dynamic behavior method that deals with roles and functions of each devices connected to MOST150 Network, and Power Management Method was studied. MOST Network consists of a master device, including function block 'NetworkMaster', and all other devices called slave devices. The purpose of this study is to apply the analysis of the methods of operating and power management based on condition of master device and slave devices on MOST150 network to the future development of MOST150 devices.

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Study QoS algorithms For ethernet traffic handling performance On MOST 150 Gateway (MOST150 Gateway의 Ethernet 트래픽 처리 성능 향상을 위한 QoS 알고리즘에 관한 연구)

  • Kim, Chang-young;Jang, Jong-wook;Yu, Yun-sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.780-783
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    • 2009
  • The application of MOST150 technology has been required to satisfy the demand for the automotive infotainment system and the higher bandwidth requirements caused by the increase of the multimedia processing capacity. The Ethernet technology applied gateway was implemented for an efficient transmission of multimedia, a vehicle diagnosis, an external communication, a data processing between the MOST150 and the CAN communication method applied to many existing vehicles. The new algorithm and application were suggested in order to efficiently perform the data processing between other types of communication systems. The existing MOST150 frame is mainly composed of the Control Channel, the Legacy Packet Channel(async) and the Synchronous /Isochronous Channels and performs the data processing through these sequential channels. With the sense of this process, this study suggested the new algorithm that the Mapping method of the IETF's QoS Management was applied to the MOST150 technology for the efficient QoS.

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KANO-TOPSIS Model for AI Based New Product Development: Focusing on the Case of Developing Voice Assistant System for Vehicles (KANO-TOPSIS 모델을 이용한 지능형 신제품 개발: 차량용 음성비서 시스템 개발 사례)

  • Yang, Sungmin;Tak, Junhyuk;Kwon, Donghwan;Chung, Doohee
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.287-310
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    • 2022
  • Companies' interest in developing AI-based intelligent new products is increasing. Recently, the main concern of companies is to innovate customer experience and create new values by developing new products through the effective use of Artificial intelligence technology. However, due to the nature of products based on radical technologies such as artificial intelligence, intelligent products differ from existing products and development methods, so it is clear that there is a limitation to applying the existing development methodology as it is. This study proposes a new research method based on KANO-TOPSIS for the successful development of AI-based intelligent new products by using car voice assistants as an example. Using the KANO model, select and evaluate functions that customers think are necessary for new products, and use the TOPSIS method to derives priorities by finding the importance of functions that customers need. For the analysis, major categories such as vehicle condition check and function control elements, driving-related elements, characteristics of voice assistant itself, infotainment elements, and daily life support elements were selected and customer demand attributes were subdivided. As a result of the analysis, high recognition accuracy should be considered as a top priority in the development of car voice assistants. Infotainment elements that provide customized content based on driver's biometric information and usage habits showed lower priorities than expected, while functions related to driver safety such as vehicle condition notification, driving assistance, and security, also showed as the functions that should be developed preferentially. This study is meaningful in that it presented a new product development methodology suitable for the characteristics of AI-based intelligent new products with innovative characteristics through an excellent model combining KANO and TOPSIS.