The Experiential Value Assessment Scale (ExVaS): Development and Psychometric Evaluation of a Scale for Assessing Experiential Value in Product Use

Abstract Existing UX scales mainly address perceived product quality, attractiveness, and emotional reactions, whereas experiential value scales have mainly targeted purchase and consumption. This study developed the Experiential Value Assessment Scale (ExVaS) to assess the value that users gain from continued use of products. Candidate items were created from 30 categories of experiential value extracted inductively from users’ descriptions of memorable experiences with products used for six months or longer. In a web survey of 1,054 respondents in Japan, exploratory factor analysis ( n = 680) yielded 44 items in seven factors: Social Fulfillment, Self-Growth, Relaxation, Curiosity, Surprise, Nostalgia, and Everyday Fit. Confirmatory factor analysis in an independent sample ( n = 374) supported this structure to a certain extent (CFI = .881, RMSEA = .078), although discriminant validity was limited for some factor pairs. Cronbach’s α ranged from .899 to .961, and test-retest ICC(2,1) ranged from .592 to .786 ( n = 194). Factor scores were higher for satisfying experiences than for less satisfying ones ( d = 0.97 to 2.22). These results suggest that ExVaS has basic psychometric properties for capturing experiential value. Validation with existing scales, other products and periods of use, and actual use settings remains for future work.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-03
DOI
https://doi.org/10.21203/rs.3.rs-11580211/v1
Primary Topic
Innovative Human-Technology Interaction
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

The Experiential Value Assessment Scale (ExVaS): Development and Psychometric Evaluation of a Scale for Assessing Experiential Value in Product Use

Toshihisa Doi
Research Square
Innovative Human-Technology Interaction
preprint

The Experiential Value Assessment Scale (ExVaS): Development and Psychometric Evaluation of a Scale for Assessing Experiential Value in Product Use

Toshihisa Doi
preprint en

Abstract

Abstract Existing UX scales mainly address perceived product quality, attractiveness, and emotional reactions, whereas experiential value scales have mainly targeted purchase and consumption. This study developed the Experiential Value Assessment Scale (ExVaS) to assess the value that users gain from continued use of products. Candidate items were created from 30 categories of experiential value extracted inductively from users’ descriptions of memorable experiences with products used for six months or longer. In a web survey of 1,054 respondents in Japan, exploratory factor analysis ( n = 680) yielded 44 items in seven factors: Social Fulfillment, Self-Growth, Relaxation, Curiosity, Surprise, Nostalgia, and Everyday Fit. Confirmatory factor analysis in an independent sample ( n = 374) supported this structure to a certain extent (CFI = .881, RMSEA = .078), although discriminant validity was limited for some factor pairs. Cronbach’s α ranged from .899 to .961, and test-retest ICC(2,1) ranged from .592 to .786 ( n = 194). Factor scores were higher for satisfying experiences than for less satisfying ones ( d = 0.97 to 2.22). These results suggest that ExVaS has basic psychometric properties for capturing experiential value. Validation with existing scales, other products and periods of use, and actual use settings remains for future work.

Research Square
Osaka Metropolitan University (JP)
Innovative Human-Technology Interaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon