Abstract
This chapter is dedicated to informing users via computer applications. The role of user interface in informing may allow users to get full benefit of computer-generated output. An idea how to develop user-customized interface by considering the risk of misinforming is presented and discussed. In this chapter the misinforming hazard is also considered from its positive role when it provides opportunity for the user to learn. The role of interface in computer's accessed and delivered information is not only a tool to deliver information filtered by its origin and results of data processing, but also it may serve as tool to guide user in learning about the property of data domain, data processing techniques, and validity of results. The well-designed user interface of a computer application can lead to better understand and interpret results of data processing by adding explanations and guidelines to overcome lack of competences and to reduce the risk of becoming mislead by provided information.
Reference14 articles.
1. Challenges and opportunities with big data visualization
2. BucklandM. (1991). Information and Information Systems. Praeger.
3. Trust in Learning from Big Data: The Two Sides of the Same Coin;D.Christozov;Issues in Information Systems,2020
4. Big Data Literacy
5. Quality of Informing: Credibility Provisional Model of Functional Dependencies