Signboard design system through social voting technique

We propose a signboard design system with votes by multiple people. When determining a signboard design with many people, it is important that local residents agree on a single signboard design. Therefore, we created a signboard design system that determines the design by popularity using an evolutionary computation algorithm to finalize the design. We have proposed a paired comparison voting method (PCV) that allows several thousand unspecified users to participate in the evaluation of candidate solutions. Specifically, the PCV method considers multiple opinion from the Internet votes to evaluate candidate solutions, accepting votes made during a defined time parameter. In our previous study, we confirmed the effectiveness of the PCV method by numerical simulations using evaluation agents that imitate human sensitivity. In this paper, we demonstrate its effectiveness for real users using a signboard design system. The system helps users to create a signboard design by considering the suitability of the grain pattern, background and character colors, and the signboard's environment. The experimental results showed that the PCV method can reduce the load on users and produce a suitable and satisfactory design, verifying the effectiveness of the PCV method for real users.