Bayesian method for intent prediction in pervasive computing environments

Yi, Xin; Yu, Chun; Shi, Yuanchun

doi:10.1360/n112017-00228

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…On the other hand, reasoning is another key point to recognize a driver's intention. The reasoning of a driver's intention is composed of mainly two aspects: 1. the reasoning of a driver's interaction intention, and 2. the reasoning of human-computer interaction based on both situation and context [9]. For example, the Bayes method, big data, and portrait modeling are employed to understand and extract a driver's intention.…”

Section: Human Factors Problems Affecting Self-driving 221 In Terms O...mentioning

confidence: 99%

A reshaped intelligent autonomous driving by using the influence and progress of human factor engineering concept

Fan

2024

ACE

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In modern society, with the improvement of people's taste of life and the change of people's consumption awareness and lifestyle, cars are no longer just a driving tool or means of transportation. People's requirements for cars are constantly improving, such as the comfort of car seats and the convenience of reversing radar. This paper examines the role of human factor engineering in the intelligent driving and gives some examples of the usage of the human factor engineering, and analyse it by Single-vehicle level analysis and Macro system level analysis. Then, the paper lists different human factor problems affecting intelligent driving. The paper discusses one iHCl system of human factor engineering which based on the Cognitive theory at three levels of perception. The paper analyses two cognizant. For the human users, it has the three-layer scene elements, data-driven, and goal-driven information processing mechanisms utilize dynamic mechanisms for information collection and subsequent response, allowing human users to perceive the updated information obtained in the dynamic environment. For intelligent system, For intelligent systems, it has a "top-down" decision-making processing mechanism. The feedback mechanism is composed of subjects such as goals, plans, and tasks.

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Section: Human Factors Problems Affecting Self-driving 221 In Terms O...mentioning

confidence: 99%

A reshaped intelligent autonomous driving by using the influence and progress of human factor engineering concept

Fan

2024

ACE

View full text Add to dashboard Cite

show abstract

Research on the Development of Natural Human-Computer Interaction for Mobile Terminals

Zhang

Lin

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Bayesian method for intent prediction in pervasive computing environments

Cited by 2 publications

References 10 publications

A reshaped intelligent autonomous driving by using the influence and progress of human factor engineering concept

A reshaped intelligent autonomous driving by using the influence and progress of human factor engineering concept

Research on the Development of Natural Human-Computer Interaction for Mobile Terminals

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