Attention-Based Design and User Decisions on Information Sharing: A Thematic Literature Review

Abstract

The spread of misinformation and disinformation online can do serious damage to individuals, organizations, and society in general. To fully comprehend user interaction when sharing information online, we need to examine why users decide to share misinformation without attentive behavior and how the latest attention-based design approach can address this. To try to understand this issue, we investigate and represent knowledge based on Human-Computer Interaction by applying an ontological approach through a thematic literature review to describe a clearly coherent and well-defined pattern about the relationship between attentionbased design and user decisions on information sharing. We conducted a review to collect, examine, and synthesize previous studies, mixing both forward and backward search strategies. Three key themes we identified include attention-based design, attentive behavior for information sharing, and attention-based design on information sharing. The review interpreted that, (1) attention-based design is significantly related to user decisions on information sharing, and a better understanding of the link between these is not yet properly described, (2) attention-based design has a further influence on increasing task effectiveness when users are dealing with a task where they are more focused and aware, (3) attention-based design, including selective attention, can influence user decisions, especially in completing tasks that emphasize a visual-based approach, (4) attention-based design is an indispensable feature to increase user attention when sharing information on the omnipresence of social media, and (5) psychological factors such as social influences, epistemic belief and cognitive dissonance affect user decisions when sharing information.

Reinforming memes: a literature review of the status of memetic information

“…Recently, reviews using forward and then backward approaches have been published (e.g. Amin et al ., 2021). However with this method, the forward step is insignificant if the initial sample is not well cited, which is unfortunately the case with existing LIS meme research.…”

Visual Selective Attention System to Intervene User Attention in Sharing COVID-19 Misinformation

“…The behavioral factor of human attention has long been a key factor in science and research that focuses on Human-Computer Interaction (HCI). The study conducted by [3] states that the attention factor's role is essential when users share information on social media. In line with that, recent studies conducted by Gabielkov et al [4] stated that about 59% of users in Twitter share information without even reading the content first (in other words, in a hurry and without attentive behavior to share the information they have just received).…”