Gender differences in the wearable preferences, device and advertising value perceptions: smartwatches vs. fitness trackers

Gupta, Manali; Sinha, Neena; Singh, Pratibha; Chuah, Stephanie Hui-Wen

doi:10.1504/ijtmkt.2020.110127

Cited by 14 publications

(8 citation statements)

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“…In contrast, household income above JPY 7 million was associated with higher SW acceptance among women but not with purchase intention. Women prefer lower-priced SW than men ( 39 ). However, women may not be aware of the price of SW at the stage of purchase intention.…”

Section: Discussionmentioning

confidence: 99%

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging

Deguchi,

Osuka,

Kojima

et al. 2024

Front. Public Health

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Smartwatches (SW) are wearable devices that support daily life and monitor an individual’s health and activity status. This information is utilized to promote behavior modification, which could help prevent chronic diseases and manage the health of older adults. Despite being interested in SWs, older adults tend to decrease their SW usage as they age. Therefore, understanding the acceptance of SWs among older individuals can facilitate individual health management through digital health technology. This study investigated the factors associated with the acceptance of SWs among older adults in Japan and the variations in the factors by sex. This study utilized data from the 2022 Itabashi Longitudinal Study on Aging, an ongoing cohort study conducted by the Tokyo Metropolitan Institute for Geriatrics and Gerontology. We included 899 eligible individuals aged ≥65 years. Participants were classified into three groups: possessing SW (possessor group), not possessing SW but interested in possession in the future (interest group), and not interested in possession in the future (non-interest group) using a self-administered questionnaire. The level of SW acceptance was operationally defined as follows: low (non-interest group), medium (interest group), and high (possessor group). Further, we evaluated the association of acceptance and purchase intentions of SWs with sociodemographic variables, technology literacy, and health variables. Among the participants, 4.2% possessed SWs, with no significant sex difference (men, 4.2%; women, 4.3%). Among men, age < 75 years, obesity, diabetes, and dyslipidemia were significantly associated with SW acceptance level. Contrastingly, among women, age < 75 years, living alone, higher household income, and a high score for new device use in the technology literacy category were significantly associated with SW acceptance level. Health-related factors were associated with SW acceptance in men, while technology literacy and sociodemographic factors were associated with SW acceptance in women. Our findings may inform the development of sex-specific interventions and policies for increasing SW utilization among older adults in Japan.

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Section: Discussionmentioning

confidence: 99%

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging

Deguchi,

Osuka,

Kojima

et al. 2024

Front. Public Health

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“…The first relation included is between the Effort Expectancy (EE) > Performance Expectancy (PE) constructs, as suggested by the literature [90,91]. The second relation added is between Performance Expectancy (PE) > Attitude (AT) [92,93]. The third relation suggested is between Effort Expectancy (EE) > Attitude (AT) [94,95].…”

Section: Proposed Modelmentioning

confidence: 99%

Getting Connected to M-Health Technologies through a Meta-Analysis

Calegari

Tortorella

Fettermann

2023

IJERPH

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The demand for mobile e-health technologies (m-health) continues with constant growth, stimulating the technological advancement of such devices. However, the customer needs to perceive the utility of these devices to incorporate them into their daily lives. Hence, this study aims to identify users’ perceptions regarding the acceptance of m-health technologies based on a synthesis of meta-analysis studies on the subject in the literature. Using the relations and constructs proposed in the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) technology acceptance model, the methodological approach utilized a meta-analysis to raise the effect of the main factors on the Behavioral Intention to Use m-health technologies. Furthermore, the model proposed also estimated the moderation effect of gender, age, and timeline variables on the UTAUT2 relations. In total, the meta-analysis utilized 84 different articles, which presented 376 estimations based on a sample of 31,609 respondents. The results indicate an overall compilation of the relations, as well as the primary factors and moderating variables that determine users’ acceptance of the studied m-health systems.

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“…Moreover, men are more likely to prefer utilitarian features of wearable technologies, whereas women are found to prefer hedonic ones (Venkatesh et al, 2012). Gupta et al (2020) reported that Generation Y Indian males preferred smartwatches, while females preferred fitness trackers. In contrast, a couple of studies report that gender has no significant impact on smartwatch adoption (Chuah et al, 2016;Wu et al, 2016) or attitudes toward diet or fitness apps (Cho et al, 2015).…”

Section: Users' Preferences For Motivational Featuresmentioning

confidence: 99%

GIST do it! How motivational mechanisms help wearable users develop healthy habits

Plangger

2022

Computers in Human Behavior

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Gender differences in the wearable preferences, device and advertising value perceptions: smartwatches vs. fitness trackers

Cited by 14 publications

References 0 publications

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging

Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging

Getting Connected to M-Health Technologies through a Meta-Analysis

GIST do it! How motivational mechanisms help wearable users develop healthy habits

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