Media richness theory was proposed

Media richness theory was proposed by Daft and Lengel in 1984(Daft & Lengel, 1984). The core concept of this theory is that mediarichness and complexity of information are the two criteria forchoosing a medium; therefore, when the members of an organizationendeavor to reduce the equivocality and uncertainty of information,they choose delivery methods that reduce the disparitybetween the amounts of information required and received. Specifically,Daft and Lengel postulated the existence of two characteristicsof information: equivocality and uncertainty (Daft & Lengel,1986). Equivocality refers to the ambiguity or confusion of information.Uncertainty refers to the degree of insufficiency or lackof information, or the disparity that exists in an organizationbetween previously processed information and the informationrequired for a task. Uncertainty decreases as information increases.The primary goal of media richness theory is to determine whichmedia technologies most effectively reduce uncertainty in variousscenarios. Richness refers to the ability of media to change how anindividual understands information. Media that reduces the vaguenessof information and increases comprehension during communicationare characterized as high in richness; media that do notreduce vagueness or increase comprehension are characterized aslow in richness (Daft, Lengel, & Treviño, 1987). Daft and Lengel alsoasserted that lean media effectively stimulate analytical communicationin environments without uncertainty, whereas rich mediacan promote communication in uncertain environments (Daft &Lengel, 1986). The four major criteria for assessing media richnessare (a) instant feedback: the ability to immediately answer questions;(b) multiple cues: the ability to provide a series of multidimensionalinformational cues such as physical movements,sound, language, images, or symbols; (c) language variety: therange of meaning that can be transmitted using language or symbols.For instance, numbers can convey more precise meaningscompared with natural language, but natural language can conveybroader concepts and ideas; and (d) personal focus: the degree towhich information is personalized according to the preferencesand needs of the receiver (Daft & Lengel, 1984). The natural languagequery AR navigation system designed in this experimentpossesses the four characteristics of media richness; therefore, thisstudy uses the TAM and media richness theory to explore user attitudesand behavioral intentions toward AR-QAS.

Media richness theory was proposed by Daft and Lengel in 1984
(Daft & Lengel, 1984). The core concept of this theory is that media
richness and complexity of information are the two criteria for
choosing a medium; therefore, when the members of an organization
endeavor to reduce the equivocality and uncertainty of information,
they choose delivery methods that reduce the disparity
between the amounts of information required and received. Specifically,
Daft and Lengel postulated the existence of two characteristics
of information: equivocality and uncertainty (Daft & Lengel,
1986). Equivocality refers to the ambiguity or confusion of information.
Uncertainty refers to the degree of insufficiency or lack
of information, or the disparity that exists in an organization
between previously processed information and the information
required for a task. 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
are characterized as high in richness; media that do not
reduce vagueness or increase comprehension are characterized as
low in richness (Daft, Lengel, & Treviño, 1987). Daft and Lengel also
asserted that lean media effectively stimulate analytical communication
in environments without uncertainty, whereas rich media
can promote communication in uncertain environments (Daft &
Lengel, 1986). 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 (Daft & Lengel, 1984). 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.

Media richness theory was proposed by Daft and Lengel in 1984
(Daft, & Lengel 1984). The core concept of this theory is. That media
richness and complexity of information are the two criteria for
choosing a medium; therefore when the, members. Of an organization
endeavor to reduce the equivocality and uncertainty, of information
they choose delivery methods that. Reduce the disparity
.Between the amounts of information required and received. Specifically
Daft, and Lengel postulated the existence of two. Characteristics
of information: equivocality and uncertainty (Daft, & Lengel
1986). Equivocality refers to the ambiguity. Or confusion of information.
Uncertainty refers to the degree of insufficiency or lack
of information or the, disparity. That exists in an organization
.Between previously processed information and the information
required for a task. 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
are characterized as high in richness; media that do not
reduce. Vagueness or increase comprehension are characterized as
low in richness (,, Daft Lengel & Trevi, ñ o 1987). Daft and Lengel. Also
asserted that lean media effectively stimulate analytical communication
in environments, without uncertainty whereas. Rich media
.Can promote communication in uncertain environments (Daft, &
Lengel 1986). 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 (Daft, & Lengel 1984). 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.