User-centered Design Criteria in Next Generation Vehicle Consoles

Gibson, Zara; Butterfield, Joseph; Marzano, Adelaide

doi:10.1016/j.procir.2016.07.024

Cited by 15 publications

(9 citation statements)

References 18 publications

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“…Owsley et al [4] proposed that reducing the contrast ratio and spatial resolution might result in a visibility-related problem when personnel were reviewing the icons on the sensor interface. Gibson et al [5] argued that the effectiveness, visibility, and comfortable operations are really important for the sensor interface.…”

Section: Related Workmentioning

confidence: 99%

“…Liu et al [10] proposed that the sensor interface should be equipped with better methods of design and configuration so that personnel may easily receive information and a great quantity of differential information on the interface may be greatly reduced, thus accomplishing the purpose of increasing the safety and stability of driving. Gibson et al [5] proposed that the key issue is that companies should conduct user-centered designing and the analysis by which interface shall meet the requirements of markets and users.…”

Section: Related Workmentioning

confidence: 99%

“…Criterion A Criterion B Figure 3: Evaluation on relative importance between Kansei images for paired comparison. Between equally important and slightly important (2,3,4) Slightly important (3,4,5) Between slightly important and important (4,5,6) Important (5,6,7)…”

Section: Using the Fahp To Calculate The Weight Of Each Kansei Imagementioning

confidence: 99%

See 2 more Smart Citations

Establishment of an Aggregation Model Associated with Instrument Interface Design Based on Kansei Factors of Electric Vehicle Drivers

Kang

2020

Mathematical Problems in Engineering

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In traditional Miryoku engineering, the construction of product Kansei factors is only based on the qualitative analysis method. The traditional Miryoku engineering cannot effectively reflect the complex and changeable Kansei factors of users. Therefore, the research path of the Kansei factors needs to be expanded. In this paper, we proposed an evaluation-fuzzy-quantification model based on users’ Kansei, and the evaluation analysis, the fuzzy computing, and the quantitative analysis were combined to quantify the importance of design considerations for the instrument interface of electric vehicles. The characteristic of the proposed method is that the qualitative analysis and quantitative analysis are combined to overcome their respective drawbacks. The results of the experiment verified that the proposed method could quantitatively analyze the design consideration factors, and the proposed approach could improve the usability and appeal of the instrument information interface.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Establishment of an Aggregation Model Associated with Instrument Interface Design Based on Kansei Factors of Electric Vehicle Drivers

Kang

2020

Mathematical Problems in Engineering

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“…This paper aims to apply a questionnaire battery method used in previous work [17] to assess user opinions on the design of two variants of a Thales vehicle-based weapon system; a Light Armored Vehicle (LAV) and Heavy Armored Vehicle (HAV). The vehicles are operated by three crew members; a Commander, Operator and Driver.…”

Section: Current Studymentioning

confidence: 99%

Assessing Current HMI Designs and Exploring AI Potential for Future Air-Defence System Development

Gibson

Butterfield

Ferguson

et al. 2020

Lecture Notes in Computer Science

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Designing human-machine interfaces (HMIs) for defence systems (such as vehicle-based weapon terminals) faces numerous challenges such as limited workspace, operation in extreme environments and essential protective gear for operators and equipment. This paper presents a study designed to investigate the HMI and teaming for ground-based air defence systems and reports the findings. The objective of the first stage of the study is to assess the usability, satisfaction, ease of use and design of the current systems to identify avenues for improvement in future system development. The main findings confirm some of the issues identified in the early human factors analysis, such as the lack of space, task complexity and the level of expertise required for efficient system operation. The reported findings do not just help identify the areas for improvement in the HMI, but also identify tasks that could be assisted by Artificial Intelligence (AI) integrated within current system functions, to improve human performance whilst also reducing cognitive load, errors and the risk of poor decision-making.

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“…Besides, Owsley et al [4] put forward that the reducing of contrast ratio and spatial resolution might result in the visibility-related problem while personnel reviewing the icons on the sensor interface. Gibson et al [5,6] argued that the effectiveness, visibility and comfortable operation are really important for the sensor interface.…”

Section: Related Workmentioning

confidence: 99%

An Information Interface Quantized Evaluation Method for Wireless Sensor Networks

Wu¹,

Song²,

Chen³

et al. 2018

Proceedings of the 2018 International Conference on Transportation &Amp; Logistics, Information &Amp; Communication, Smart City

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In the global-scaled internet of things, the wireless sensor networks play an important role of collecting information. The sensors are developing towards the integrated information sensor and complex information may be displayed. To obtain the comprehensive information rapidly and precisely through the sensor information interface, the visual appeal-oriented interface is important. In this paper, we proposed a preference-based evaluation-fuzzy-quantification method (EFQM) for the optimization of sensor information interface. In this model, the evaluation analysis, the fuzzy computing and the quantitative analysis were combined to quantify the importance of design considerations for the sensor information interface respectively. The characteristic of proposed method is that the qualitative analysis and quantitative analysis are combined to overcome the respective drawbacks. The results of experiment verified the proposed method could analysis the factors of design considerations quantitatively, and the proposed approach could improve the visual appeal of the sensor information interface.

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User-centered Design Criteria in Next Generation Vehicle Consoles

Cited by 15 publications

References 18 publications

Establishment of an Aggregation Model Associated with Instrument Interface Design Based on Kansei Factors of Electric Vehicle Drivers

Establishment of an Aggregation Model Associated with Instrument Interface Design Based on Kansei Factors of Electric Vehicle Drivers

Assessing Current HMI Designs and Exploring AI Potential for Future Air-Defence System Development

An Information Interface Quantized Evaluation Method for Wireless Sensor Networks

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