Various approaches to a human preference analysis in a digital signage display design

Abstract

This article is concerned with various ways of analyzing the subjective assessment of displaying digital signage content. In the beginning, the brief description of the signage system evolution is described; next, the carried out experiment is depicted. The preferences of the 32 subjects were obtained using pairwise comparisons of the designed screen formats. Then the priorities were derived by applying the Analytic Hierarchy Process framework. The gathered data were modeled and analyzed by means of the analysis of variance, multiple regression, and conjoint and factor analyses. The results suggest that the application of different methods of preference analysis may provide additional information that could facilitate more in-depth understanding of the given preference structure. C 2011 Wiley Periodicals, Inc.

Fuzzy-based linguistic patterns as a tool for the flexible assessment of a priority vector obtained by pairwise comparisons

“…For example, the mean CR values regarding various graphical conditions [16,22,23] exhibit great differences. Thus, the overall average CR in [17] was almost twice the mean CR in [26]. The results in [26] also show that even small changes in the experimental context may affect the consistency because the same participants were markedly less consistent before performing efficiency testing compared with that after executing the experimental task.…”

“…The possibility of obtaining high consistency in terms of the CR value depends greatly on many factors. For example, Grobelny and Michalski [17] and Michalski [25] showed that the gender of subjects had a significant effect on the CRs. These studies showed that females were generally less consistent than male participants.…”

“…We only assume that the fuzzy sets representing linguistic expressions should be built depending on the context and in a reasonable manner. However, we can suggest some tools for characterizing the matrix of preferences (or rather an expert who determines the matrix) in a similar manner to the concepts of the CR and/or Tau coefficient (Saaty [32], Kendall [18]). An approximate measure of the consistency of the expert may be a pattern of "fuzzy cycles" in the matrix of comparisons.…”

Human-Computer Interaction: Users and Contexts

“…We also computed consistency ratios for every subject to assess the degree of comparisons validity. Specifics regarding computations of preferences' weights and consistency ratios may be found, for instance, in the paper of Grobelny and Michalski (2011) or Michalski (2011). …”

Audience Measurement of Digital Signage: Quantitative Study in Real-World Environment Using Computer Vision

“…Little and Briggs (2009) address the problem of receiving personal information in public spaces via personalized interaction. Grobelny and Michalski (2011) focus on digital signage content design. By performing pairwise human preferences comparison analysis, they show that different layout structures, background and content positioning can significantly affect the user's perception of the digital signage content.…”