Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving
While automated driving has attracted more and more attention, human drivers still play an important role. Drivers must be aware of their surroundings and potential danger to take over the vehicle’s control immediately when the automation system cannot function, which could otherwise pose a road saf...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/14/7177 |
| _version_ | 1797441018522501120 |
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| author | Fang You Huijun Deng Preben Hansen Jun Zhang |
| author_facet | Fang You Huijun Deng Preben Hansen Jun Zhang |
| author_sort | Fang You |
| collection | DOAJ |
| description | While automated driving has attracted more and more attention, human drivers still play an important role. Drivers must be aware of their surroundings and potential danger to take over the vehicle’s control immediately when the automation system cannot function, which could otherwise pose a road safety risk. The transparent design of the human–machine interface can accurately convey the perceived information of the machine to help drivers understand the dynamic environment. We designed the scenario where the rear vehicle is about to overtake the ego vehicle and has a dangerous tendency to collide with the ego vehicle by stepping on the lane line. We analyzed the information shared by the intelligent system in this scenario to make “transparent” the intelligent system. According to the requirements of the task model of transparency and the three stages of situation awareness, we formed three designs. Then we analyzed the availability, situation awareness, and workload of different designs. Results showed that the transparency design according to the shared situation awareness stage can have a positive impact on the usability of the intelligent system. Therefore, the effective transparency-based design in automated driving can enhance the user’s understanding of the system and improve their experience. |
| first_indexed | 2024-03-09T12:16:51Z |
| format | Article |
| id | doaj.art-72010ba87ab7425bba89fab37ba3d54e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:16:51Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-72010ba87ab7425bba89fab37ba3d54e2023-11-30T22:45:09ZengMDPI AGApplied Sciences2076-34172022-07-011214717710.3390/app12147177Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic DrivingFang You0Huijun Deng1Preben Hansen2Jun Zhang3Car Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, ChinaCar Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, ChinaDepartment of Computer and Systems Sciences, Stockholm University, 114 19 Stockholm, SwedenCollege of Design and Innovation, Tongji University, Shanghai 200092, ChinaWhile automated driving has attracted more and more attention, human drivers still play an important role. Drivers must be aware of their surroundings and potential danger to take over the vehicle’s control immediately when the automation system cannot function, which could otherwise pose a road safety risk. The transparent design of the human–machine interface can accurately convey the perceived information of the machine to help drivers understand the dynamic environment. We designed the scenario where the rear vehicle is about to overtake the ego vehicle and has a dangerous tendency to collide with the ego vehicle by stepping on the lane line. We analyzed the information shared by the intelligent system in this scenario to make “transparent” the intelligent system. According to the requirements of the task model of transparency and the three stages of situation awareness, we formed three designs. Then we analyzed the availability, situation awareness, and workload of different designs. Results showed that the transparency design according to the shared situation awareness stage can have a positive impact on the usability of the intelligent system. Therefore, the effective transparency-based design in automated driving can enhance the user’s understanding of the system and improve their experience.https://www.mdpi.com/2076-3417/12/14/7177transparencyshared situation awarenessHMIautomated driving |
| spellingShingle | Fang You Huijun Deng Preben Hansen Jun Zhang Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving Applied Sciences transparency shared situation awareness HMI automated driving |
| title | Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving |
| title_full | Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving |
| title_fullStr | Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving |
| title_full_unstemmed | Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving |
| title_short | Research on Transparency Design Based on Shared Situation Awareness in Semi-Automatic Driving |
| title_sort | research on transparency design based on shared situation awareness in semi automatic driving |
| topic | transparency shared situation awareness HMI automated driving |
| url | https://www.mdpi.com/2076-3417/12/14/7177 |
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