Research On The Design Of A New Tea Drinks Service System Based On Human-Computer Collaborative Trust

In recent years,service robots have been widely used in the catering industry,effectively improving the efficiency of some catering services and enhancing user experience.Taking the rapidly developing new style tea drinks as an example,service robots,with their stable,efficient,and controllable characteristics,have effectively solved the problem of unstable efficiency and service quality caused by human factors in traditional new style tea drinks services.However,due to the current focus on the implementation of robot functions,Less consideration is given to the interaction between service robots and store staff during the collaboration process,as well as the interaction with customers,which often leads to distrust of robots by store staff and customers.Specifically,it includes:(1)during the collaboration process,actions lack interpretability and predictability,and failure to explain behaviors that do not match user expectations does not indicate subsequent actions.(2)The lack of error apology behavior affects users’ judgment of robot reliability and is not conducive to trust repair.(3)The low degree of humanoid appearance of the robot affects users’ trust in the robot.Based on the above issues,this article proposes a new robot tea service system,aiming to improve the operational efficiency of new tea shops and optimize the consumer experience by using more reliable service robots.The specific work is as follows:(1)The lack of interpretability and predictability in service robot actions.This article conducts on-site research on new tea beverage services,combined with research on user needs in new tea beverage services,and summarizes the possible dishonesty issues in human-machine collaboration new tea services.By applying trust calibration theory,the system transparency is improved,providing guidance for subsequent scheme design.(2)The lack of apology behavior for errors affects users’ judgment of robot reliability,leading to poor efficiency in trust repair.Using trust repair theory,by adding a service robot error feedback module,design from two perspectives: timeliness of error apology and attribution of apology content.Apologize in a timely manner from the perspective of internal attribution and explain the reason for the error to users,improve users’ judgment of robot reliability,and improve trust repair efficiency.(3)The low degree of anthropomorphism in the appearance of robots causes users to distrust service robots.Based on research on catering service robot products,analyze the technical functions,interaction methods,and anthropomorphic characteristics of service robots,and establish a new tea service system for cooperation between service robots and humans.Through theoretical research on the relationship between anthropomorphic features and credibility of robots,the principles of anthropomorphic design for service robots are clarified,providing a basis for the subsequent appearance design of service robots.The whole plan includes the appearance design and interactive interface design of the new tea beverage service robot product,as well as the service process design of the new tea beverage robot.By using the service process design method,establish a workflow that conforms to the characteristics of robot work,improve the efficiency of robot tea service,reduce production labor costs,and verify the feasibility of robot new tea service through analogy experiments.By applying the theories of trust repair,trust calibration,and anthropomorphic feature design principles,we aim to increase consumers’ trust in robots during the service process,enhance consumers’ experience in tea service,and provide reference for the development of new tea service towards human-machine collaboration.