Verbalization in search: Implication for the need of adaptive visualizations
Interactive information visualization enables human to interact with huge and complex data and gather implicit information. Different visualization strategies allow solving visualization tasks e.g., exploring information, making decision or searching explicit information. The process of searching information premises the human verbalization ability. The solving probability of a search problem increases with the precise ability of formulating the query. The query formulation depends on pre-knowledge and verbalization ability of the subject. In this paper we show that, beside the interactive information visualization technique like bottom up or top down, the need of additional ideas e.g. adaptive visualization to increase the verbalization abilities of subjects should be implemented. This is endorsed by an evaluation study of users with significant differences in previous subjective ratings of high or low values of self-assurance in working with personal computers. The results of this evaluation let us assume that personalized or adaptive visualization will help to enhance the verbalization ability and therewith the search and exploration efficiency in subjects with low values of self-assurance. The paper concludes with a short description of an adaptive semantics visualization model.