Multimodal Interface Based on Novel HMI UI/UX for In-Vehicle Infotainment System

Kim, Jin-Woo; Ryu, Jae Hong; Han, Tae Man

doi:10.4218/etrij.15.0114.0076

Cited by 24 publications

(12 citation statements)

References 13 publications

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“…A number of interaction studies have been conducted on infotainment systems. Various infotainment systems have been studied, such as touch buttons (Crundall et al, 2016;Feng et al, 2018;Kim et al, 2014;Suh & Ferris, 2019), overall user interface (UI) elements (Hua & Ng, 2010;Naujoks et al, 2019;Pankok & Kaber, 2018), icons/symbols (Silvennoinen et al, 2017), screen position (Kuiper et al, 2018), layout (Kim et al, 2015;Li, Chen et al, 2017), sound effects (Larsson & Niemand, 2015), gestures (Graichen et al, 2019;Parada-Loira et al, 2014), and modality (Gaffar & Kouchak, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Touch Button Interface on In-Vehicle Information Systems Usability

Jung

Park

et al. 2021

International Journal of Human–Computer Interaction

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We analyzed the button input method of infotainment systems as part of the in-vehicle information system (IVIS) interface and related research. As IVIS becomes more complex and the need for drivervehicle interaction increases, so does the potential risk that accompanies driver input. In this study, we propose to analyze the influence of the touch button shape, background, button and text color combination, and the presence/absence of a button border on the usability of the button input operation, which has not been studied before. Thus, participants were made to perform a button press operation in various combined conditions in a driving simulator. For keypads of the same diagonal length, we recommend a square-shaped touch keypad. In addition, the use of an edge and a specific color combination has a positive effect on the overall task performance and user satisfaction. These results are expected to be useful in the development of effective IVIS information display and input.

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Section: Literature Reviewmentioning

confidence: 99%

Effect of Touch Button Interface on In-Vehicle Information Systems Usability

Jung

Park

et al. 2021

International Journal of Human–Computer Interaction

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“…System Use on Risk Perception and Psychological Changes of Drivers Yoonsook Hwang, Byoung-Jun Park, and Kyong-Ho Kim  one study proposed a novel human-machine interface (HMI) user-interface/user-experience (UI/UX) system based on the recognition of diverse gestures that is applicable to an invehicle infotainment system [7]. Based on the results of these studies, we expect to be able to understand the cause and effect of driver distractions because emotions and stress also affect driver behaviors and states.…”

Section: Effects Of Augmented-reality Head-up Displaymentioning

confidence: 99%

The Effects of Augmented-Reality Head-Up Display System Usage on Drivers? Risk Perception and Psychological Change

Hwang¹,

Park²,

Kim³

2016

ETRI J

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This study was conducted to examine the usage effects of an augmented reality head‐up display (AR‐HUD) system on the risk perception and psychological changes of drivers. To do so, we conducted an experiment to collect the driver response times for vehicles and pedestrians as their risk perception behavior, and used a driving behavior determinants questionnaire consisting of Problem Evading, Benefits/Sensation Seeking, Anti‐Personal Anxiety, Anti‐Personal Angry, and Aggression factors for collecting the psychological characteristics of the drivers. Thirty drivers were randomly assigned into an in‐vehicle AR‐HUD using group and a control group. As a result, the Anti‐Personal Anxiety and Anti‐Personal Angry factors were negatively correlated with the response time for the control group. In contrast, these results were not shown for the in‐vehicle AR‐HUD system using group. These results indicate that the in‐vehicle AR‐HUD system may partially induce a relaxation of tension or stress for drivers with a high level of interpersonal anxiety. Therefore, the in‐vehicle AR‐HUD system might contribute to not only the visual safety driving behaviors of drivers, but also to their psychological driving safety with specific characteristics.

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“…It uses a near-infrared visual device that also provides hand-skeleton information. Similarly, hand-skeleton information has been used to control the radio inside a car in the field of driver assistance [2]. Another example is the virtual reality sickness simulator presented in [3], which makes use of hand-skeleton information provided by the Leap Motion device to interact with the virtual environment.…”

Section: Introductionmentioning

confidence: 99%

A real-time gesture recognition system using near-infrared imagery

et al. 2019

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Visual hand gesture recognition systems are promising technologies for Human Computer Interaction, as they allow a more immersive and intuitive interaction. Most of these systems are based on the analysis of skeleton information, which is in turn inferred from color, depth, or near-infrared imagery. However, the robust extraction of skeleton information from images is only possible for a subset of hand poses, which restricts the range of gestures that can be recognized. In this paper, a real-time hand gesture recognition system based on a near-infrared device is presented, which directly analyzes the infrared imagery to infer static and dynamic gestures, without using skeleton information. Thus, a much wider range of hand gestures can be recognized in comparison with skeleton-based approaches. To validate the proposed system, a new dataset of near-infrared imagery has been created, from which good results that outperform other state-of-the-art strategies have been obtained.

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Multimodal Interface Based on Novel HMI UI/UX for In-Vehicle Infotainment System

Cited by 24 publications

References 13 publications

Effect of Touch Button Interface on In-Vehicle Information Systems Usability

Effect of Touch Button Interface on In-Vehicle Information Systems Usability

The Effects of Augmented-Reality Head-Up Display System Usage on Drivers? Risk Perception and Psychological Change

A real-time gesture recognition system using near-infrared imagery

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