Evaluation of human-computer spoken dialogues is often based on analyses of objective metrics such as task completion rate, turn-taking, time consumption, etc. While these data are easily obtained and processed from log files, they offer or very little information about the actual usability of the given service as perceived by the test subjects. This study combines the evaluation based on objec...

Fuzzy set theory offers an important contribution to data mining leading to fuzzy data mining. It enables the management of interpretable and subjective information in both input and output of the data mining process. In this paper, we discuss the notion of interpretability in fuzzy data mining and we present some references on the management of emotions as a particular kind of subjective infor...

This paper uses panel data on pensioners’ subjective evaluations of their financial positions to construct equivalence scales for pensioners. A pensioner couple is estimated to require an income 44% higher than a comparable single pensioner to reach the same standard of living. This is significantly less than the equivalence scale value implied by the ratio of state pension rates, the McClement...

A common issue in cluster analysis is that there is no single correct answer to the number of clusters, since cluster analysis involves human subjective judgement. Interactive visualization is one of the methods where users can decide a proper clustering parameters. In this paper, a new clustering approach called CDCS (Categorical Data Clustering with Subjective factors) is introduced, where a ...