The Experience of Building Cognitive User Interfaces of Multidomain Information Systems Based on the Mental Model of Users

Shishaev, Maxim G.; Dikovitsky, V. V.; Lapochkina, L.V.

doi:10.1007/978-3-319-57264-2_29

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In addition, the meaning and implication of each score had been fully explained. Nevertheless, due to the convergence of people's aesthetic and judgment experience [47], the mean values of the preference degree of some samples were close, which was detrimental to the generalization ability of the model and increased the prediction errors of some samples. (2) Limitations of the samples.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

Sustainable Recognition Methods of Modeling Design Features of Light and Micro Vehicle-Mounted UAV: Based on Support Vector Regression and Kano Model

Yang

Huo²,

Jia³

et al. 2022

Sustainability

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In the era of Industry 4.0, intelligent algorithms provide an effective way to make design methods more sustainable through mining people’s demands continuously, especially in the field of evaluating and predicting the user preferences of phasic or interim design schemes. Vehicle-mounted unmanned aerial vehicles (UAVs) are of significance in mobility experience and traffic surveys. However, as a new type of product, UAVs lack general rules in modeling design and the process of development decision making presents some fuzzy characteristics, which make the evolution and iteration of modeling design more complex. Based on the theories of Kansei Engineering, this study utilized support vector regression (SVR) to establish a correlation model between design factors and preference degree. Because the perceptual evaluation knowledge is fuzzy and uncertain, the paper applied cross-validation and grid search methods to find the optimal parameters. The parameters of the SVR model were adjusted to meet the need for stable learning and for endurance of the noise from subjective experience data to improve the prediction effect and generalization ability. In addition, by means of the Kano model, the customers’ cognition of demand types was quantified to obtain the prioritization of UAV modeling design elements, as well as to compare with the preference scores to validate the feasibility of this research. It was found that the SVR model proposed in the study could effectively predict user preference (R2 = 0.763, RMSE = 0.057). For the UAVs with a higher preference score, the modeling characteristics were consistent with the attractive, one-dimensional or must-be quality elements in the results of the Kano model, which verified the reliability of the study. The conclusion is expected to provide a sustainable design method for vehicle-mounted UAVs commonly used in citizen travel and outdoor activities.

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Section: Discussion and Limitationsmentioning

confidence: 99%

Sustainable Recognition Methods of Modeling Design Features of Light and Micro Vehicle-Mounted UAV: Based on Support Vector Regression and Kano Model

Yang

Huo²,

Jia³

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…But it was useful in ergonomic explorations. Researchers had found that the perceptual messages from product property and usage requirements were competent to the analysis of user experience [52]. erefore, it was reasonable to probe suitable dimensions by perceived comfort.…”

Section: Discussionmentioning

confidence: 99%

Dimensional Evolution of Intelligent Cars Human-Machine Interface considering Take-Over Performance and Drivers’ Perception on Urban Roads

2020

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The study analyzed the drivers’ take-over behaviors in intelligent cars when driving on urban roads and tried to find reasonable dimensions of the human-machine interface. Firstly, the main driving assistance functions in the process of take-over were analyzed based on the entropy theory, and the weight values of each function for the consumer’s purchase intention were calculated. Secondly, we explored the perceived comfortable dimensions of the interactive components under typical interaction modes. By means of experiments using a within-subjects design, the initial population of the evolutionary computation was obtained. The evolutionary mechanism of dimensions driven by users’ perception was constructed with a genetic algorithm. After debugging the parameters of the model, we verified the rationality of the model and evolved appropriate dimensions. Finally, the validity of the evolved dimensions was proved by a controlled experiment and paired-sample t-test. The results indicated that the completion time of most take-over tasks under the HMI with the evolved dimensions was significantly shorter, which ensured the HMI could be more conducive to the take-over quality and traffic efficiency.

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Definition and Formalization of the User Mental Model for Creating Adaptive Geointerfaces of Decision Support Systems

Vicentiy

2024

Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2022)

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The Experience of Building Cognitive User Interfaces of Multidomain Information Systems Based on the Mental Model of Users

Cited by 3 publications

References 7 publications

Sustainable Recognition Methods of Modeling Design Features of Light and Micro Vehicle-Mounted UAV: Based on Support Vector Regression and Kano Model

Sustainable Recognition Methods of Modeling Design Features of Light and Micro Vehicle-Mounted UAV: Based on Support Vector Regression and Kano Model

Dimensional Evolution of Intelligent Cars Human-Machine Interface considering Take-Over Performance and Drivers’ Perception on Urban Roads

Definition and Formalization of the User Mental Model for Creating Adaptive Geointerfaces of Decision Support Systems

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