Automatic Museum Audio Guide An automatic xe2x80x9cmuseum audio guidexe2x80x9d is presented as a new type of audio guide for museums. The device consists of a headset equipped with a camera that captures exhibit pictures and the eyes of things computer vision device (EoT). The EoT board is capable of recognizing artworks using features from accelerated segment test (FAST) keypoints and a random forest classifier, and is able to be used for an entire day without the need to recharge the batteries. In addition, an application logic has been implemented, which allows for a special highlyefficient behavior upon recognition of the painting. Two different use case scenarios have been implemented. The main testing was performed with a piloting phase in a real world museum. Results show that the system keeps its promises regarding its main benefit, which is simplicity of use and the userxe2x80x99s preference of the proposed system over traditional audioguides.

Analysis of Art Museumsxe2x80x99 Visitor Behavior and Eye Movements for Mobile Guide App Design Over the past decade, the growing prevalence of smartphone has motivated museums to bring out the guide service in the form of a mobile app. However, not many museums are actively embracing cuttingedge technology. Therefore, this study aims at proposing a design blueprint of a visitorcentered art museum guide app that guarantees its usability. For integrated approach of quantitative and qualitative analysis, we conducted the eyetracking, survey, and indepth interview by selecting five art museum mobile apps. We then analyzed which apps are the most efficient by analyzing the number of page steps and the time through the required task of the mobile app, as well as the problem area for each app. Through the results of this experiment, it contributes to identifying and solving the existing problems of appaided exhibition services and provides insights into the digital strategies of the visitorcentered museum.