More and more literatures are studying supply chain contracts with risk preferences，but experimental researches still focus on the test of supply chain contracts under the assumption of risk-neutral theory．Few literatures are found to study the contract models under risk preferences combined with experimental studies． In order to provide appropriate decision support tools for retailers with different risk preferences，CVaR，one of the most popular financial risk management tools，is applied to form the retailer’s optimal ordering models based on the wholesale contract and revenue-sharing contract． Experiments are used to test the models． It is found that the regression equations based on CVaR models can fit the experimental data very well． The retailer’s risk-aversion or risk-taking characteristics are significant，and CVaR can significantly reduce the deviation，and help the decision-maker decrease the volatility of the orders，which also confirms the models’practical value．