activity
20182021
most citedSaliency difference based objective evaluation method for a superimposed screen of the HUD with various background

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2021★ 2 cited

Exploration of increasing drivers trust in a semi-autonomous vehicle through real time visualizations of collaborative driving dynamic

A. Koegel, C. Furet, T. Suzuki +10

The Thinking Wave is an ongoing development of visualization concepts showing the real-time effort and confidence of semi-autonomous vehicle (AV) systems. Offering drivers access t…

cs.HC2021

How can design help enhance trust calibration in public autonomous vehicles?

Yuri Klebanov, Romi Mikulinsky, Tom Reznikov +4

Trust is a multilayered concept with critical relevance when it comes to introducing new technologies. Understanding how humans will interact with complex vehicle systems and prepa…

cs.HC2019★ 1 cited

Explicit behaviors affected by driver's trust in a driving automation system

Hailong Liu, Toshihiro Hiraoka, Seiya Tanaka

As various driving automation system (DAS) are commonly used in the vehicle, the over-trust in the DAS may put the driver in the risk. In order to prevent the over-trust while driv…

cs.HC2019★ 9 cited

Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background

Hailong Liu, Toshihiro Hiraoka, Takatsugu Hirayama +1

The head-up display (HUD) is an emerging device which can project information on a transparent screen. The HUD has been used in airplanes and vehicles, and it is usually placed in…

cs.HC2018

Driving behavior model considering driver's over-trust in driving automation system

Hailong Liu, Toshihiro Hiraoka

Levels one to three of driving automation systems~(DAS) are spreading fast. However, as the DAS functions become more and more sophisticated, not only the driver's driving skills w…