Abstract
Range of recognition of experienced drivers considerably decreases in low light conditions (i.e., night, fog, heavy rain, etc.) and this further impacts their judgement in anticipating road activities. Despite the large body of work on driving in nighttime conditions, like providing night vision cameras to the drivers using white hot configuration or vulnerable road users (VRU) detection systems using white hot configuration, the former carries a risk of drivers driving by the camera whereas the later heavily focuses on VRUs. Moreover, these studies consider only white-hot configuration of the Far Infrared (FIR) technology. Our solution focuses on considering white hot as well as black hot FIR configuration combined with Augmented Reality (AR) technology. Multiple studies suggest that the Far Infrared produces better recognition performance at night than near-infrared (NIR) technology. This paper attempts to take the FIR research a step further by studying it in combination with Augmented Reality (AR) systems. More specifically, we study the effects of FIR configuration (black and white-hot) on drivers’ preference and recognition rate in an AR environment. To gather data, interviews with 11 volunteers were conducted. The results indicated that the white-hot configuration had a higher recognition performance in comparison to the black-hot configuration. Nonetheless, participants preferred black hot over white-hot configuration. These results can guide future development of in-vehicle augmented reality and night vision systems.
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Singhal, N., Alsaid, A., Talamonti, W., Mayer, K. (2023). Study of Night Vision Configuration with Augmented Reality in Automotive Context. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. Springer, Cham. https://doi.org/10.1007/978-3-031-36004-6_13
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