Research On Interactive Design Of Smart TV System Based On Information Foraging Theory

With the rapid development of Wisdom in China,our life were changed by Smart Home deeply.The emergence of Smart Home enrich the the user's spiritual world,but also change the way users accept information.As an important part of Smart Home,the emergence of Smart TV is not long.It changes the passive way of users'access to information,and greatly expands the user's desire to explore information.However,a lot of information provided by Smart TV will reduce user's enthusiasm.How to improve the utilization of TV resources and function is the key to the development of smart TV in the future.In this paper,we use Information Foraging Theory and principle of Interaction Design,starting from the interaction design of Smart TV system,and research how to improve user information acquisition behavior,so as to provide advice and theoretical guidance for the design of Smart TV system.Firstly,analoging the foraging behavior with smart TV using behavior,introduce the Information Foraging Theory into interaction design,and expand the Information Foraging Theory revenue model,on the one hand introduce experience revenue G_e into the total revenue,on the other hand introduce the determine time T_j in the calculation of rate of return;Secondly,starting from the interactive characteristics,patterns,environments,tools and elements to research the Smart TV system.Based on the results of previous studies,extract foraging demand,prey information,information scent,information carrier and information camouflage concept from the Information Foraging Theory,to interpretation of the user experience factor five principles;And than using questionnaire survey,interview and user behavior observation,to explore how to establish the user role model.Using the Kano model to analyze and partition the priority of demand;Finally,Optimized Smart TV system from Information Scent,Information Carriers and Information Camouflage,based on information foraging theory and user research results,and verify the design results.