Cross-Car, Multiplayer Games for Semi-Autonomous Driving

Lakier, Matthew; Nacke, Lennart E.; Igarashi, Takeo; Vogel, Daniel

doi:10.1145/3311350.3347166

Cited by 29 publications

(11 citation statements)

References 46 publications

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“…We found few works geared towards this line of inquiry. Similar research is reported in [17] focusing on a cross-car multiplayer game for the driver in level 3 and higher ADS. The authors designed a fully immersive multiplayer game for the driver, assuming full heads-up display (HUD) and ad-hoc vehicle-vehicle communication for co-located vehicles.…”

Section: Related Work and Current State Of Automationsupporting

confidence: 77%

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User Monitoring in Autonomous Driving System Using Gamified Task: A Case for VR/AR In-Car Gaming

Muguro

Laksono

Sasatake

et al. 2021

MTI

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Background: As Automated Driving Systems (ADS) technology gets assimilated into the market, the driver’s obligation will be changed to a supervisory role. A key point to consider is the driver’s engagement in the secondary task to maintain the driver/user in the control loop. This paper aims to monitor driver engagement with a game and identify any impacts the task has on hazard recognition. Methods: We designed a driving simulation using Unity3D and incorporated three tasks: No-task, AR-Video, and AR-Game tasks. The driver engaged in an AR object interception game while monitoring the road for threatening road scenarios. Results: There was a significant difference in the tasks (F(2,33) = 4.34, p = 0.0213), identifying the game-task as significant with respect to reaction time and ideal for the present investigation. Game scoring followed three profiles/phases: learning, saturation, and decline profile. From the profiles, it is possible to quantify/infer drivers’ engagement with the game task. Conclusion: The paper proposes alternative monitoring that has utility, i.e., entertaining the user. Further experiments with AR-Games focusing on the real-world car environment will be performed to confirm the performance following the recommendations derived from the current test.

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Section: Related Work and Current State Of Automationsupporting

confidence: 77%

“…We designed an AR-Game inside a driving simulator to analyze driver's engagement with game elements and staged popup traffic. Similar research had no agreed-upon standard of reference or evaluation scheme with more emphasis on the design of approach [15,17,26,27].…”

Section: Discussionmentioning

confidence: 99%

User Monitoring in Autonomous Driving System Using Gamified Task: A Case for VR/AR In-Car Gaming

Muguro

Laksono

Sasatake

et al. 2021

MTI

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“…As noted from Figure 9, AR-Game elements on the sideways were easily missed compared to center objects. This agrees with the results from different authors on the anisotropic perception of object size, distance, and positioning in a VR environment [17,45]. From these results, the deviation index increases as the position of the playable object depart from the center.…”

Section: Game Design Considerationsupporting

confidence: 92%

“…We found few works geared towards this line of inquiry. Similar research is reported in [17] focusing on a cross-car multiplayer game for the driver in level 3 and higher of an ADS. The authors designed a fully immersive multiplayer game for the driver, assuming full heads-up display and ad-hoc vehiclevehicle communication for co-located vehicles.…”

Section: Related Work and Current State Of Automationsupporting

confidence: 77%

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User Monitoring in Autonomous Driving System Using Gamified Task: A Case for vr/AR in-Car Gaming

Muguro¹,

Laksono²,

Sasatake³

et al. 2021

Preprint

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As Automated Driving Systems (ADS) technology gets assimilated into the market, the driver’s obligation will be changed to a supervisory role. A key point to consider is the driver’s engagement in the secondary task to maintain the driver/user in the control loop. The paper’s objective is to monitor driver engagement with a game and identify any impacts the task has on hazard recognition. We designed a driving simulation using Unity3D and incorporated three tasks: No-task, AR-Video, and AR-Game tasks. The driver engaged in an AR object interception game while monitoring the road for threatening road scenarios. From the results, there was less than 1 second difference between the means of gaming task (mean = 2.55s, std = 0.1002s) to no-task (mean = 2.55s, std = 0.1002s). Game scoring followed three profiles/phases: learning, saturation, and decline profile. From the profiles, it is possible to quantify/infer drivers’ engagement with the game task. The paper proposes alternative monitoring that has utility, i.e., entertaining the user. Further experiments AR-Game focusing on real-world car environment will be performed to confirm the performance following the recommendations derived from the current test.

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Design of the Resumption and Prompt Interface for Online Meetings Under Automatic Driving

Dai

Tan

Duan

2021

Lecture Notes in Networks and Systems

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Cross-Car, Multiplayer Games for Semi-Autonomous Driving

Cited by 29 publications

References 46 publications

User Monitoring in Autonomous Driving System Using Gamified Task: A Case for VR/AR In-Car Gaming

User Monitoring in Autonomous Driving System Using Gamified Task: A Case for VR/AR In-Car Gaming

User Monitoring in Autonomous Driving System Using Gamified Task: A Case for vr/AR in-Car Gaming

Design of the Resumption and Prompt Interface for Online Meetings Under Automatic Driving

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