Factors influencing older adults' intention to use virtual fitting room technology during the COVID-19 pandemic

Abstract

PurposeThe purpose of this paper is to examine the factors that influence older adults' intention to use virtual fitting room technology during the COVID-19 pandemic based on the extended technology acceptance model (TAM).Design/methodology/approachAn online survey was conducted with a sample of older adults from 60 to 90 years old (n = 819). A structural equation modeling was conducted to test a proposed research model.FindingsThe results revealed that older adults' behavioral intentions were positively influenced by perceived usefulness and ease of use, and fear of infection during the pandemic was significantly related to the perceived usefulness. Fit concern was not significantly related to perceived usefulness of virtual fitting room technology.OriginalityThis research extends the TAM by adding antecedents to perceived usefulness in explaining older adults' adoption of virtual fitting technology.

A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework

“…Unable to determine clothing comfort [39] Inaccurate image recognition and alignment [32,36] Unable to determine clothing material characteristics [39][40][41] Unable to recognize full-body outfit coordination [38] Unable to determine clothing size [41] Partial details may not be accurately displayed [35,41] Potential risk of information leakage [33] Low image resolution [33,36,41] Unable to provide personalized recommendations and customization [32] While there exists a wealth of research on the intention to use AR technology [12,42,43], with numerous studies investigating factors such as curiosity [15], perceived usefulness and ease of use [16], perceived media characteristics [17], remote presentation [17], fashion leadership [18], vividness [19], technological visibility [20], technological anxiety [18], and privacy concerns [21], there remains a gap in comprehensive research that summarizes user experience attributes for such services and constructs relevant evaluation scales.…”

“…Despite numerous studies exploring factors influencing user intention to use virtual try-on applications through theoretical assumptions and analyses-such as curiosity [15], perceived usefulness and ease of use [16], perceived media characteristics [17], remote presentation [17], fashion leadership [18], vividness [19], technological visibility [20], technological anxiety [18], and privacy concerns [21]-these research methods can only examine the relationship between specific factors and user behavior. They fail to comprehensively summarize the fundamental user experience attributes of such services.…”