The core concept of this theory is that media richness and complexity of information are the two criteria for choosing a medium; Uncertainty decreases as information increases. The primary goal of media richness theory is to determine which media technologies most effectively reduce uncertainty in various scenarios. Richness refers to the ability of media to change how an individual understands information. Media that reduces the vagueness of information and increases comprehension during communication
The four major criteria for assessing media richness are (a) instant feedback: the ability to immediately answer questions; (b) multiple cues: the ability to provide a series of multidimensional informational cues such as physical movements, sound, language, images, or symbols; (c) language variety: the range of meaning that can be transmitted using language or symbols. For instance, numbers can convey more precise meanings compared with natural language, but natural language can convey
broader concepts and ideas; and (d) personal focus: the degree to which information is personalized according to the preferences and needs of the receiver. The natural language query AR navigation system designed in this experiment possesses the four characteristics of media richness; therefore, this study uses the TAM and media richness theory to explore user attitudes and behavioral intentions toward AR-QAS.