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

Jung, Suhwan; Park, Jaehyun; Park, Jung Chul; Choe, Mungyeong; Choi, Myungbin; Lee, Seung Hwan

doi:10.1080/10447318.2021.1886484

Cited by 32 publications

(5 citation statements)

References 62 publications

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“…Finally, similar to attentional resources, in terms of lateral driving performance, a clear advantage was demonstrated when using CIM to perform the secondary task compared with FTIM. This finding was consistent with previous studies [31,32]. The TLC when performing the secondary task using CIM was 1.89 s longer than when using FTIM.…”

Section: Discussionsupporting

confidence: 93%

“…Subsequently, Zeng [31] studied the impact of conventional button-based interaction modes, voice interaction modes, and touch screen interaction modes on driving safety from the perspective of driving safety and found that CIM had the least impact on driving safety, and that the touchscreen interaction mode had the greatest impact on driving safety. Moreover, a number of studies have noted that touchscreen interaction modes without nonvisual feedback have worse task performance than traditional physical button interaction modes [32,33].…”

Section: Research On the Impact Of Secondary Tasks On Resourcementioning

confidence: 99%

See 1 more Smart Citation

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Zhao

et al. 2022

Journal of Advanced Transportation

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In recent years, the full-touch human–machine interaction (HMI) mode has gained popularity in the automotive market. However, little research has been conducted on how this interaction mode affects drivers’ glance behavior and lateral control ability. In this study, we evaluated the visual engagement and driving performance of 30 participants while driving two vehicles equipped with either the full-touch interaction mode (FTIM) or the conventional interaction mode (CIM) provided by the original equipment manufacturer (OEM). We found that both air conditioning–related tasks required more visual engagement, longer task completion time, and worse lateral vehicle control under FTIM. Furthermore, the gray correlation analysis demonstrated that FTIM exhibited slightly different disadvantages in the two secondary tasks. In the temperature adjustment task, the correlations of glance behavior and lateral control ability between the two interactive modes were 0.688 and 0.680, respectively. In the airflow adjustment task, the correlations of glance behavior and lateral control ability between the two interactive modes were 0.659 and 0.668, respectively. In addition, this study revealed that driving speed had significant effects on glance behavior and lateral driving performance in both interaction modes. As speed increased, self-adjusting glance behavior was evident in performing the secondary task; however, this behavior could not compensate for the deterioration in lateral driving performance caused by the increased speed. The findings will help improve drivers’ perception of FTIM and provide theoretical guidance for the design development of HMI mode.

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Section: Discussionsupporting

confidence: 93%

Section: Research On the Impact Of Secondary Tasks On Resourcementioning

confidence: 99%

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Zhao

et al. 2022

Journal of Advanced Transportation

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“…The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures [ 48 ]. Furthermore, the approach can also be applied and extended for evaluating other medical icons [ 49 , 50 ], safety icons, disaster-related prevention icons [ 51 ], transportation-related icons [ 52 , 53 ], and even entertainment-related icons [ 54 , 55 , 56 , 57 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

et al. 2021

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Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.

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“…When the legibility of information is low, the users’ reading time will increase ( Naujoks et al, 2019 ). Existing studies on interface color include the color contrast between buttons and text ( Jung et al, 2021 ) and the influence of interface background color on user emotion ( Cheng et al, 2019 ). As for the color study of buttons, Huang found that the color combination of the graphics and background in the button icon affected the visual search performance.…”

Section: Related Workmentioning

confidence: 99%

Study on Smart Home Interface Design Characteristics Considering the Influence of Age Difference: Focusing on Sliders

Ouyang

Wang

2022

Front. Psychol.

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Smart homes represent an effective approach to improve one’s quality of life. Developing user interfaces that are both comfortable and understandable can assist users, particularly the elderly, embrace smart home technologies. It’s critical to concentrate on the characteristics of smart home interface design and their impact on people of various ages. Since sliders are one of the most common components utilized in the smart home user interface, this article aimed to investigate the effects of slider design characteristics (e.g., button size, track color, and sliding orientation) on user performance and preference. Thirty-four participants were recruited for the experiment (16 for the young group, aged between 18 and 44 years; 18 for the middle-aged and elderly group, aged between 45 years and above). Our results revealed that both groups had shorter task completion time, less fixation time, and saccades on horizontal sliding orientation and larger buttons, which means better user performance. For the older group, the slider with color gradient track led to better user performance, while the track color only had less effect on the performance of the younger group. In terms of user preference, the results and performance of the older group were basically consistent, while the younger group had no significant difference in sliding orientation and track color.

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

Cited by 32 publications

References 62 publications

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

Study on Smart Home Interface Design Characteristics Considering the Influence of Age Difference: Focusing on Sliders

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