The Effect of Age, Gender, and Job on Skin Conductance Response among Smartphone Users Who are Prohibited from Using Their Smartphone

Abstract

The smartphone is a widely used and rapidly growing phenomenon worldwide, and problematic smartphone use is common in our society. This study’s objective was to examine the gender difference of baseline and post-intervention skin conductance response (SCR) among smartphone users and explore the relationships among problematic smartphone use level, anxiety level, and SCR changes by evaluating SCR, the Zung Self-Rating Anxiety Scale score, and the Chinese version of the Smartphone Addiction Inventory (SPAI) score in a one-group baseline and post-test design. Sixty participants were recruited from two communities, and data were collected from April to June 2017. There was a significant difference in terms of SCR changes between young males and old males and between young females and old females. Additionally, the SCR changes in young females were significantly greater than those in young males with twofold mean difference. This study provides strong evidence supporting the effectiveness of SCR measurement for assessing problematic smartphone use (PSU) anxiety when users are in a withdrawal-like state. The SCR measurement can help healthcare providers identify cases with risk factors of PSU for early intervention.

Problematic smartphone use in a large nationally representative sample: Age, reporting biases, and technology concerns

“…Similarly, the idea of digital nativity (Prensky, 2001;Wang, Sigerson, & Cheng, 2019) suggests that young adults who have grown up in a world where there has always been the internet, social media, and smartphones are more likely to 'naturally' use smartphone technology compared to older generations (digital immigrants). Other researchers have taken a developmental perspective by highlighting how certain age groups may be more susceptible to developing problematic smartphone use based on their life stage (Busch & McCarthy, 2020;Csibi, Griffiths, Demetrovics, & Szabo, 2019;Hsieh et al, 2020). For example, between the ages of 18 to 30, people may be more likely to be socializing and engaging in romantic relationship formation that can be facilitated via smartphone applications (e.g.…”

Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild

“…We need to consider leveraging personalized models, DA, and unlabeled data simultaneously. As a part of our future work, we will divide participants into different clusters based on their demographic information since the previous research has shown that the physiological data are associated with participants' demographic information [46], [47]. By studying the stress status of different groups, we might achieve more accurate stress detection results according to other groups of people.…”

Problematic Smartphone Use in a Large Nationally Representative Sample: Age, Reporting Biases, and Technology Concerns

“…Similarly, the idea of digital nativity (Prensky, 2001;Wang, Sigerson, & Cheng, 2019) suggests that young adults who have grown up in a world where there has always been the internet, social media, and smartphones are more likely to 'naturally' use smartphone technology compared to older generations (digital immigrants). Other researchers have taken a developmental perspective by highlighting how certain age groups may be more susceptible to developing problematic smartphone use based on their life stage (Busch & McCarthy, 2020;Csibi, Griffiths, Demetrovics, & Szabo, 2019;Hsieh et al, 2020). For example, between the ages of 18 to 30, people may be more likely to be socializing and engaging in romantic relationship formation that can be facilitated via smartphone applications (e.g.…”