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http://hdl.handle.net/10397/108523
Title: | A visual reasoning-based AR-HUD service design approach for better driving experience | Authors: | Liang, Y Zheng, P Xia, L |
Issue Date: | 2023 | Source: | Procedia CIRP, 2023, v. 119, p. 296-301 | Abstract: | Smart traffic or transportation, as a critical part of realizing the smart city, utilizes various smart product-service systems to support it. Among them, the augmented reality head-up display (AR-HUD) system is a typical smart driving solution, which projects vital information about driving situations with pre-defined AR graphics onto the windshield of vehicles. The AR-HUD service design attracts increasing concerns owing to its enhancement of drivers’ situational awareness without glancing down at the instrument cluster. Nevertheless, current in-car AR-HUDs only stack some simple driving information from sensors, such as the driving speed. It's difficult to meet the demand of drivers since they ignore a higher level of drivers’ situation awareness, i.e., driving situation prediction and recommendation of driving advice. To overcome the challenge, this paper proposes a visual reasoning-based service design approach for advancing AR-HUDs’ digital servitization and better user experience. Additionally, drivers are involved in the service design development in a value co-creation manner through human-computer interaction design. With the combination of experiential driving knowledge and cognitive intelligence computing on the driving scene, the proposed novel service design approach enables AR-HUD to percept driving scenarios and infer good strategies accordingly. Finally, an illustrative example is carried out to validate the feasibility of the proposed AR-HUD service design approach. | Keywords: | Augmented reality head-up display Smart driving Smart product-service system Value co-creation Visual reasoning |
Publisher: | Elsevier | Journal: | Procedia CIRP | EISSN: | 2212-8271 | DOI: | 10.1016/j.procir.2023.02.136 | Description: | 33rd CIRP Design Conference 2023, 17-19 May 2023, Sydney, Australia | Rights: | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) The following publication Liang, Y., Zheng, P., & Xia, L. (2023). A Visual Reasoning-based AR-HUD Service Design Approach for Better Driving Experience. Procedia CIRP, 119, 296-301 is available at https://doi.org/10.1016/j.procir.2023.02.136. |
Appears in Collections: | Conference Paper |
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