Factors Influencing User’s Adoption of Conversational Recommender System Based on Product Functional Requirements
Abstract: Conversational
recommender system (CRS) helps customers get products fitted their needs by repeated
interaction mechanisms. When customers want to buy products having many and
high techfeatures (e.g., cars, smartphones, notebook, etc.), most users are not
familiar with product technicalfeatures. The more natural way to elicit
customers’ needs is by asking what they really want to use with the product
they want (we call as product functional requirements). In this paper, we
analyze four factors, e.g., perceived usefulness, perceived ease of use, trust
and perceived enjoyment associated to user’s intention to adopt the interaction
model (in CRS) based on product functional requirements. Result of experiment using
technology acceptance model (TAM) indicates that, for users who aren’t familiar
with technical features, perceives usefulness is a main factor influencing
users’ adoption. Meanwhile, perceived enjoyment plays a role on user’s
intention to adopt this interaction model, for users who are familiar with technical
features of product.
Author: Z.K. Abdurahman Baizal
Journal Code: jptkomputergg160042
