Designing configurable automotive dashboards on liquid crystal displays

Bellotti, Francesco; Gloria, Alessandro De; Poggi, A.; Andreone, Luisa; Damiani, Sergio; Kabos, Peter

doi:10.1007/s10111-004-0163-1

Cited by 14 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…en, the design of sensor interfaces should provide the correct information for the personnel, be clearly readable, and be rapidly understood [3]. erefore, the design of the sensorial interface is requested to meet the demand that users could rapidly get the ideas.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

Kang

2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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.

show abstract

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%

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

Kang

2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…With the modern sensor information interface become more complicated due to their new functions and elements [1], the service and information of the sensor interface, ranging from safety system to personal communication, from entertainment to locating information may not distract the personnel from their attention on the main objects. Then the designing of sensor interface should provide the correct information for the personnel, and should be clearly, readable and understandable rapidly [2,3]. Therefore, the designing of sensorial interface should follow the principles that the personnel can understand the relevant functions rapidly.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…In day conditions, clear backgrounds are better. For non-sheltered displays, a dark background could help to reduce the lowering of visibility caused by reflections [1]. Size of gauges is important for both of aesthetic and good visibility.…”

Section: Design Parameters For Displaysmentioning

confidence: 99%

“…Functionality consists of information quality, reliability, structure, and uniqueness parameters. Information quality means that information has to be provided without distracting the drivers from their main goal, which is to safely drive the car [1]. Reliability means that correct information must be provided immediately.…”

Section: Design Parameters For Displaysmentioning

confidence: 99%

Design evaluation model for display designs of automobiles

Çebı

Kahraman

2014

Journal of Intelligent &Amp; Fuzzy Systems

View full text Add to dashboard Cite

Displays generally located into cars' dashboard are important equipment in terms of driving safety and interior design of cars. In the industry, there are various display designs. Some of them may have positive impacts on customers while some of them may not. The selection of design parameters such as location of displays (behind steering wheel or on the center console), colors (for background and symbols/lettering), types (digital or analog), and shapes (circle, semicircle, or quadrangle) diversify display designs in the industry. In this paper, a design evaluation model (DEM) has been proposed to the relevant literature. The design characteristics of display and priorities of design parameters of displays are put forward by using the proposed model. DEM is an integrated method including fuzzy analytic hierarchy process and fuzzy Choquet integral. The fuzzy analytic hierarch process (AHP) is utilized to define the priorities of design parameters of displays by using subjective assessment of customers while fuzzy Choquet integral is used to determine design characteristics of displays by using linguistic evaluations of design team. . (e.g., frontal collision warning, night vision support, parking aids, and adaptive cruise control) increases [1].A car display includes various gauges such as speedometer, a fuel gauge, a tachometer, charging system gauge, oil pressure gauge, and engine temperature gauge. Those days, car manufactures also provide a road computer and global positioning system as a standard. The objectives of gauges used in a display design are to provide state information, to give advice, and to present warnings. Indicators and hazard lights provide drivers the state of controlled functions such as speed and tachometer. Fuel low, fuse failure, and brake pads worn are advisories which caution drivers that vehicle needs attention in the near future. The warnings such as high engine temperature, low oil alert drivers that vehicle needs immediate attention. The information given by displays must be provided in the correct format on the correct time to make easy and quick understandable of the information [2]. Nowadays, manufactures produce displays in various forms and colors. The main

show abstract

Designing configurable automotive dashboards on liquid crystal displays

Cited by 14 publications

References 20 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

An Information Interface Quantized Evaluation Method for Wireless Sensor Networks

Design evaluation model for display designs of automobiles

Contact Info

Product

Resources

About