User Information Behavior from the Perspective of Information Context: Optimizing User Experience Within Text-to-Image AIGC Platforms

Abstract

The rapid expansion of text-to-image AIGC platforms has led to a transformation of user experience and changed user information behavior. This paper presents a grounded theory analysis of information behavior in the context of a text-to-image AIGC platform. We conducted an operational test on ERNIE bot, set two different text-to-image operation situations, task and non-task. Through the operation observations and semi-structured interviews of tested users, we analyze the influencing factors of user experience and establish an information behavior model of the text-to-image AIGC platform. It was found that the information behavior flow is affected by information context. In task-oriented situation, user's information demand is clear, which can be divided into three stages: information demand, information processing and information utilization, and the information behavior flow goes through a cycle in the information processing stage. In interest-driven situation, the user information demand goes through a process from ambiguity to clarity, and the whole process of user information behavior presents a dynamic adjustment cycle pattern. The findings provide a strategic reference for user experience optimization of AIGC platforms.

Keywords: AIGC, Information Behavior, Grounded Theory, Situation, Text-to-Image Generation

DOI: 10.54941/ahfe1006689