An Explanation of the False Drop in Information Retrieval in Human-Computer Interaction

Abstract

Nowadays the field of information retrieval is quickly developing. Research on the human-computer interactions and designing of the interface is likely to lead to better results and greater empowerment for users and creators of information. One of the main and special issues related to the relationship between humans and computers in information storage and retrieval systems is the problem of accurate and correct information retrieval based on the user's information needs, due to there are still many false drops in the user's retrievals, although have the many advances come in this field. On the other hand, the human-computer interface environment is not well understood, compared to other forms of information retrieval, due to the complexity of human perception and detection compared to computer systems and the more difficult the detection and measurement of human motives and behaviors. In this paper, after reviewing the information storage and retrieval systems and their various evaluation metrics, the issue of the false drop and its effect on the human-machine interactions is discussed and finally, some solutions are presented. The principles of user interface design, providing informative feedback, reducing working memory load, providing alternative interface environments for novice and skilled users and visualizing information are among the proposed solutions of the present study.