Abstract
Psychophysical assessment may be affected by cognitive distortion. Although the theory was originally developed to revise decision making in uncertain situations, prospect theory can be applied to psychophysical measurements, which was verified in a previous preliminary study. Two case studies were used to validate the utilization of prospect theory in psychophysical measurements. Affective satisfaction dimensions were rated by participants for an experimental device using a 0–100 scale. Performance of affective satisfaction models increased with the application of prospect theory-based compensation. Hundreds of participants evaluated the user value of their own devices via an online questionnaire. Although model fit performance increased slightly with transformed data, more case studies are needed to investigate the utility of prospect theory on user value or on a range of target constructs. The application of prospect theory in various situations of psychophysical measurement can be expected to improve and compensate for measurement results.
Highlights
Psychophysical measurement has been widely used and will continue to be used in various fields, including the field of human-computer interaction (HCI) and user experience (UX)
A measurement model consisting of 16 items was developed (Figure 1) and verified in terms of several fit indexes, including the absolute, incremental, and parsimonious fit indexes: goodness of fit index (GFI) and root mean square error of approximation (EMSEA) for the absolute fit indexes, as well as the normed fit index (NFI), comparative fit index (CFI), adjusted goodness-of-fit index (AGFI), and the ratio of chi square to its degrees of freedom (CMIN/DF) for the incremental and parsimonious fit indexes
Note that acceptable model fit is generally indicated by values over 0.9 for the GFI, AGFI, and CFI, and an RMSEA value less than 0.06
Summary
Psychophysical measurement has been widely used and will continue to be used in various fields, including the field of human-computer interaction (HCI) and user experience (UX). From the perspective of abstract constructs such as affect and user value, which are supposed to be influential factors of UX, researchers usually have no choice but to use psychophysical measurements. The system usability scale (SUS) and software usability measurement inventory (SUMI) depend on psychophysical measurements, such as 1–3 and 1–5 scales [4,5,6,7]. The psychophysical measurements that have been widely used have problems in two aspects. They use the interval scale or ratio scale, both options have extreme values (e.g., 0 and 100). The scale is bound to be distorted. It may not be a problem to allow some level distortion and analyze the data in this way, it goes without saying that it may be better to analyze the data after correction
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
