Affective feedback

摘要: User feedback is considered to be a critical element in the information seeking process. An important aspect of cycle relevance assessment that has progressively become popular practice web searching activities and interactive retrieval (IR). The value lies disambiguation user's need, which achieved by applying various techniques. Such techniques vary from explicit implicit help determine retrieved documents.The former type usually obtained through intended indication documents as relevant (positive feedback) or irrelevant (negative feedback). Explicit robust method for improving system's overall performance producing better query reformulations [1], at expense users' cognitive resources. On other hand, tend collect on search behavior more intelligent unobtrusive manner. By doing so, they disengage users burden document rating judgments. Information-seeking such reading time, saving, printing, selecting referencing have been all treated indicators relevance, despite lack sufficient evidence support their effectiveness [2].Besides apparent differences, both categories with respect situational levels dialogue occurs between user system [5]. However, this approach does not account dynamic interplay adaptation takes place different levels, but most importantly it consider affective dimension interaction. Users interact intentions, motivations feelings apart real-life problems objects, are aspects cognition decision-making [3][4]. evaluating response towards an object (e.g. document), prior post exposure it, accurate understanding object's properties degree current need may facilitated. Furthermore, systems can detect respond accordingly emotions could potentially improve naturalness human-computer interaction optimize strategy. study investigates role process, latter communicated multi-modal interaction, reconsiders what level well.