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Exploring the Applicability of Implicit Measures to Assess UX in HCI Research

Sinram, V. (2016) Exploring the Applicability of Implicit Measures to Assess UX in HCI Research.

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Abstract:Aim of this study was to examine whether implicit measures can be used as a contribution to explicit measures for assessing user experience (UX) in applied research. For this, a two-fold study design was established: In a pre-study, two newly developed software prototypes were examined concerning their UX and usability in order to obtain stimulus material for the subsequent tests of the main-study. Herein, the attitudes of 43 participants concerning the prototypes were investigated by the AMP and AAT as well as the UEQ-meCUE-questionnaire and SAM. Concerning the research question, no meaningful correlations between the two implicit tests and the SAM were found. Thus, there is no relationship between the ratings on these tests. Likewise, a correlation between the implicit tests also showed no meaningful results, making a validation of the two measures impossible. To reach this conclusion, each test was considered separately: The analyses revealed that both explicit measures show higher UX mean-ratings for the UX prototype, accordingly to the expectations. The implicit tests did not replicate these findings, indicating that in this context and with this stimulus material, the implicit tests were not able to detect the difference in UX. In sum, the explicit tests show the expected difference in the manipulation of UX separately from the products’ usability. However, the implicit tests were not sensitive enough to detect this difference and therefore cannot add a contribution to the explicit measures of this study.
Item Type:Essay (Master)
Fraunhofer IAO, Stuttgart, Germany
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
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