A Study on User Experience of Automotive HUD Systems: Contexts of Information Use and User-Perceived Design Improvement Points

Beck, Donghyun; Jung, Jaemoon; Park, Juhee; Park, Woojin

doi:10.1080/10447318.2019.1587857

Cited by 18 publications

(13 citation statements)

References 42 publications

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“…Recently, in-vehicle information systems (IVIS), a combination of automobile and IT technologies have emerged as an increasingly important aspect of transportation technology (Horrey et al, 2006;Yoon et al, 2015aYoon et al, , 2015b. Cluster and head-up displays (HUD) and infotainment systems (AVN: audio, video, navigation) are commonly used in most vehicles and are commonly referred to as IVIS (Beck et al, 2019;Feng et al, 2018;Kula et al, 2017;Platten et al, 2013). A cluster is a type of instrument panel that provides detailed information about a vehicle in a driving situation (Bauerfeind et al, 2017;Broy, Zierer et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…A cluster is a type of instrument panel that provides detailed information about a vehicle in a driving situation (Bauerfeind et al, 2017;Broy, Zierer et al, 2014). An HUD utilizes augmented reality technology to display detailed information about the vehicle to the driver in the driver's forward field of view (Beck et al, 2019;Merenda et al, 2018;Schwarz & Fastenmeier, 2018;Villalobos-Zúñiga et al, 2016). An infotainment system is a device that provides entertainment functions such as in-vehicle audio, multimedia devices, and navigation devices (Gupte & Askhedkar, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Usability studies on the way IVIS provides information are required to ensure smooth interaction between the driver and vehicle. Cluster and HUD displays provide information visible in the driver's forward field of view (Bauerfeind et al, 2017;Beck et al, 2019;Merenda et al, 2018;Schwarz & Fastenmeier, 2018;Villalobos-Zúñiga et al, 2016). Many studies on visual complexity and visual factors have been conducted on cluster displays (Lee et al, 2016Yoon et al, 2015aYoon et al, , 2015b and HUDs (Charissis et al, 2013;Guo et al, 2014;Merenda et al, 2018;Schwarz & Fastenmeier, 2018).…”

Section: Introductionmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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 then test them to identify the most effective multimodal NUIs (Study 2). We used a HUD as the output interface in both experiments to reduce visual distraction significantly by keeping the driver's eyes on the road [27,28]. Therefore, we unify output feedback using a HUD and match the number of input commands across modalities.…”

Section: Related Workmentioning

confidence: 99%

“…Video, eye-tracking data (Tobii 4C), primary and secondary task performance data were collected for all sessions. When participants completed each session, they conducted the NASA-TLX, a System Usability Scale (SUS), and a brief interview [3,28].…”

Section: A Study Designmentioning

confidence: 99%

A Cascaded Multimodal Natural User Interface to Reduce Driver Distraction

et al. 2020

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Natural user interfaces (NUI) have been used to reduce driver distraction while using in-vehicle infotainment systems (IVIS), and multimodal interfaces have been applied to compensate for the shortcomings of a single modality in NUIs. These multimodal NUIs have variable effects on different types of driver distraction and on different stages of drivers' secondary tasks. However, current studies provide a limited understanding of NUIs. The design of multimodal NUIs is typically based on evaluation of the strengths of a single modality. Furthermore, studies of multimodal NUIs are not based on equivalent comparison conditions. To address this gap, we compared five single modalities commonly used for NUIs (touch, mid-air gesture, speech, gaze, and physical buttons located in a steering wheel) during a lane change task (LCT) to provide a more holistic view of driver distraction. Our findings suggest that the best approach is a combined cascaded multimodal interface that accounts for the characteristics of a single modality. We compared several combinations of cascaded multimodalities by considering the characteristics of each modality in the sequential phase of the command input process. Our results show that the combinations speech + button, speech + touch, and gaze + button represent the best cascaded multimodal interfaces to reduce driver distraction for IVIS. INDEX TERMS Cascaded multimodal interface, driver distraction, head-up display (HUD), human-computer interaction (HCI), in-vehicle infotainment system (IVIS), learning effect, natural user interface (NUI).

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Intelligent Collision Avoidance and Manoeuvring System with the Use of Augmented Reality and Artificial Intelligence

Bram-Larbi

Charissis

Khan

et al. 2021

Advances in Intelligent Systems and Computing

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The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver's response time. The latter is affected by the driver's spatial and situational awareness, which in turn is heavily depended on the driver's cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver's ability to respond effectively in an imminent collision situation. Current attempts to reduce this negative impact on driver's performance had limited success. To improve the driver's ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in realtime alternative options to the driver. Prior work for the development of a similar system for Emergency Services' (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of twenty drivers.

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A Study on User Experience of Automotive HUD Systems: Contexts of Information Use and User-Perceived Design Improvement Points

Cited by 18 publications

References 42 publications

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

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

A Cascaded Multimodal Natural User Interface to Reduce Driver Distraction

Intelligent Collision Avoidance and Manoeuvring System with the Use of Augmented Reality and Artificial Intelligence

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