Autonomous driving is an important development direction of future driving technology。But people are currently concerned about the general acceptance of autonomous driving。These concerns include uncertainty of autonomous driving safety and responsibility issues。What is even more worrying is，Traffic accidents related to autonomous driving are still happening。News reports on the media on driving traffic accidents，also caused people to worry about the safety and reliability of the autonomous driving system。It can be said，People still have a major obstacle to the acceptance and use of autonomous driving: trust in autonomous driving。Although the preliminary record is displayed，The current accident rate of autonomous driving is lower than manual driving，But the autonomous driving system may still fail。If not remedy，It will have a gradual and significant impact on trust。When trust decreases，Driver may avoid using autonomous driving function，Turn more manual control driving，This also means that the social benefits obtained by the loss of autonomous driving。

The success or failure of the task will affect trust。When a task is successful，Trust usually increases; when the task fails，Trust will be reduced。This process of adjusting user trust into a value suitable for system performance，bet365 best casino games Known as the "trust calibration"。When the user's trust is not appropriately calibrated, it is lower than the actual performance of the machine，Known as "dislike"; when it is higher than actual performance，It is called "Excessive Trust"。There are many disadvantages in the unscrupulous status。Research Discovery，People will intervene more frequently in the unbelievable machine，As a result, the working hours are lengthened。Researchers have a technical acceptance model and trust theory，A survey of influencing factors of the influencing of 552 drivers。Results indicate，Trust is an important decisive factor in using autonomous driving intentions，System transparency、Technical and context management capabilities have a positive impact on trust，Trust has a negative impact on perception risks。Experimental studies have induced faults through both different autonomous driving levels，After a complete self -driving failure，The self -reported self -reported self -driving trust decreases immediately。But after a fault in the autonomous driving，When the subject can take over the control of the vehicle to avoid danger，Trust does not decrease。These studies have been confirmed from the front，Trust plays a vital role in the process of user acceptance of autonomous driving。

Trust issues are so important for autonomous driving，so that trust determines the public's acceptance and use of autonomous vehicles。So，What are the specific contents of trust in autonomous driving? Researchers consider trust from the perspective bet365 best casino games of multi -discipline，Define the trust of autonomous driving as: how people help users achieve the attitude of established goals in the absence of uncertainty and vulnerability。The degree of trust in new technology often determines the development speed of the corresponding technology，Especially in various automation fields，Trust has become a decisive factor for people to accept automation。There are different sub -types in autonomous driving trust。For example，Trust -based trust and integrity -based trust，is the most related trust sub -type with autonomous driving。The former means that autonomous vehicles can effectively perform driving tasks，When doing this，Make sure the driver's safety。The latter is the behavior of autonomous vehicles is transparent，Do not cause intentional damage through your own actions or inaction。Research Discovery，These two types of trusted sub -types will be reduced due to autonomous driving error experience，But the two types of trust are reduced at different speeds。Trust -based trust reduces more，and build a model through the structural equation，People's acceptance of autonomous driving is mainly driven by the trust -based trust。Study on Trust Trust Types，Provided a window to understand how human drivers understand the error of autonomous driving，For "trust calibration"。

Researchers' research on the relationship between autonomous driving and trust has gone through three stages。The first stage is mainly to explore the differences between people's trust when the bet365 best casino games vehicle fails。Research to prove it by using the trust rating of self -reporting，Under the high automation mode and complete automation mode，Trust differences of people under normal or fault driving conditions。As a result, I found，In a high automation driving mode，There is no significant difference between normal and fault tests，There are significant differences in the fully automated mode。The second stage is to clarify the response of the brain in different scenarios during autonomous driving。When the vehicle encounters a complex environment，If there is no red and green light intersection，Participants have a lower trust in the machine，Able to deal with emergencies in time (high information processing capacity)。But，When driving in a safe state，Participants show a high degree of trust in the machine，It will not be able to take emergency action in time (low information processing capacity)。At the third stage，is to promote people's trust in autonomous driving。Situation perception can help the driver improve the trust of autonomous vehicles。Researchers have changed the context perception through the changes in the verbal information sent by the driver，and the conditions of high emotional realm can lead to significant high -level trust behavior。Therefore，Researchers proposed，In the future, you can add voice prompts with situational perception，Used to analyze the response of the brain to autonomous driving。Another，With the limit or failure of the autonomous driving system，Human drivers will lose trust，I am more bet365 live casino games willing to take over control。Therefore，When the autonomous driving system perceives the driver's loss of trust，Pay back to the driver through active communication or control the control right，Autonomous driving system or can cultivate better people and car trust。This also shows，For autonomous driving，Trust monitoring should be a very important technology，To support the driver's vehicle adaptability。

Current，There are many research methods on autonomous driving trust。For example，Carefully designed questionnaire interview for self -report measurement，Can be used to repeat people's trust in the autonomous driving process。Some researchers conducted a semi -structured interview with 20 same -brand car drivers with more autonomous driving experience，and comprehensive interviews to understand their behavior adaptation during the use of autonomous driving、Psychological model and trust。Results indicate，Their attitude towards the autonomous driving system is very positive，I believe that drivers generally engage in secondary tasks during autonomous driving。but but，They also proposed，Driver still needs to learn lessons from experience，Determine the conditions of relatively safe use，Avoid situations that are exposed to excessive danger。But，The disadvantage of questionnaire interviews is more subjective，There may be limitations。These questionnaire interviews usually assume that some scenarios and prerequisites。but，If you encounter the scene in the questionnaire，People are often at a loss in practice。

bet365 Play online games Researchers are also actively looking for other alternative physiological or behavioral indicators。For example，Some researchers use eye movement tracking technology，Evaluate high -automation driving period to measure the feasibility of driver's autonomous driving trust through gaze.，and verify the degree of trust in self -reporting in driving simulator research。Results indicate，There is a consistency relationship between the driver's trust and gaze behavior of the driver，Higher trust is related to the lower monitoring frequency during autonomous driving。other，There are also Electric Power indicators。For example，Brain waves (α waves and θ waves) with lower frequencies dominate in a more relaxed state and sleep，and higher frequency brain wave (β wave and γ wave) appear in a more excited or stressful state。β wave/α wave ratio increases、α wave/β wave and θ wave/β wave ratio decrease or relative γ -wave ratio increase，Related to the level of pressure。When an individual needs to passively observe the positive scene of autonomous cars (cars driving steadily on highways) and negative scenes (the same car is unstable driving，When it violates traffic rules)，β wave/α wave ratio will increase。In the process of improving attention，also detected higher γ waves。

Whether for the driver，Still for passengers、Pedestrians, others, etc. participating in the traffic，Autonomous driving will subvert people’s daily life and traffic habits。In view of the trust issues facing autonomous bet365 best casino games driving，Researchers and automated designers should explore more trust promotion or recovery strategies，Trust problems caused by autonomous driving errors。After all，Trust may largely determine the public's acceptance and use of autonomous driving。

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