Adoption Of Smartphones Research Articles

Observational Study on Passenger Behavior in the Beijing Subway

To understand the primary behaviors of contemporary passengers during subway travel, a traditional observational research method was employed to observe and record the behaviors of individuals in the last car of Beijing Subway Line 5. The observed behaviors were then analyzed and explained using relevant theories. The results indicated that: a. The main behaviors of subway passengers included activities such as using mobile phones, sleeping, daydreaming, reading, and interacting with others. b. The predominant use of mobile phones was closely related to the development of the internet era and the widespread adoption of smartphones. c. The limited communication and interaction among subway passengers were linked to the phenomenon of interpersonal apathy prevalent in modern society.

The Impact of Social Media Marketing on Consumer Purchase Intention and Customer Loyalty on E-commerce Websites

Thailand’s e-commerce industry has significantly improved in recent years, driven by widespread Internet access and smartphone adoption. The diverse online marketplace caters to the changing needs and preferences of Thai consumers. However, the impact of social media marketing on consumer purchase intention and loyalty to e-commerce sites has not received sufficient attention. This study focuses on online shopping platforms in Thailand to investigate the role of social media marketing in influencing consumer purchase intention and loyalty to e-commerce platforms. For this purpose, 400 online questionnaires were required for data collection and used for testing the hypothesis, based on the suitable statistics through the advanced statistical program. The findings indicated that demographic factors, consumer behavior, and social media engagement have significantly influenced consumer purchase intention. This research also highlighted implications for how e-commerce sites can enhance their marketing strategies and foster customer loyalty to their products. Keywords: social media marketing, purchase intention, customer loyalty

Digital biomarkers for psoriatic arthritis: a qualitative focus group study on patient-perceived opportunities and barriers

ObjectivesThe widespread adoption of wearables, for example, smartphones and smartwatches in the daily lives of the general population, allows passive monitoring of physiological and behavioural data in the real world....

E-Learning Design for Older Adults in the United States

As global populations age, there is an urgent need to address the unique learning requirements of older adults in the context of e-learning. This study builds upon prior work to investigate the connections between older adults’ cognitive profiles, learning preferences, and attitudes toward technology in the United States. Through a survey of 203 U.S. adults aged 55 and above, data were collected on participant demographics, learning preferences, and attitudes towards technology. The results reveal a tech-savvy sample that is most comfortable with everyday applications and favors practical, visual learning approaches. Key findings include high levels of internet and smartphone adoption, varying confidence levels across different mobile applications, and strong preferences for step-by-step instructions, examples, and graphics in e-learning modules. This mixed-method study serves as a foundation for future research aimed at increasing the adoption and effectiveness of e-learning among older adults in the U.S. and globally, ultimately contributing to the overall quality of life and support for active-aging initiatives.

Video-Based Directly Observed Therapy (ViDOT) as a strategic tool to improve medication adherence in epilepsy: A narrative review.

The prevalence of epilepsy is highest in the Central Africa subregion most especially in rural settlements. This is further compounded by a high prevalence of treatment gap, from poor drug adherence, and poor road network. One approach to overcoming this burden is to leverage Video-based Directly Observed Therapy (ViDOT) use for stable patients living with epilepsy, harnessing the advancement in mHealth technologies, and widespread adoption of smartphones. ViDOT is a form of telemedicine that is a smartphone-based, treatment approach for monitoring and evaluating remote patients. We performed a narrative review of the existing literature using electronic databases from PubMed and Google Scholar to identify relevant publications related to ViDOT and chronic diseases, in particular epilepsy. The selected articles were assessed for relevance, and key findings were synthesized to provide an overview of the role of ViDOT in addressing the challenges of drug adherence in epilepsy. The review shows that poor drug adherence is a major risk for poor outcomes in patients living with epilepsy. ViDOT has the potential to significantly contribute to improved drug adherence in patients living with epilepsy. Other benefits of ViDOT include the elimination of prolonged waiting times, improvement in access to specialized care, eradication of self-induced stigma and discrimination, diminishing neurologists' workload, and cost-effectiveness. Challenges include poor network coverage and unstable internet service. Giving a brief psychoeducation about epilepsy, anti-epileptic drug (AED) side effects, and the importance of sticking with the recommended drug use can improve AED adherence and epilepsy outcomes. Information dissemination through ViDOT to people with epilepsy and their caregivers at large is important to promote a healthy life.

A Study on Factors Affecting Smartphone Purchase Decisions in Indonesia

Smartphones are constantly developing and increasingly impacting human behavior, making them a key benchmark of current telecommunications technology. Smartphones, whether in our pockets or our hands, have become an indispensable component of our daily existence. Indonesia has one of the world's highest smartphone adoption rates. Additionally, Indonesia is the fourth-biggest smartphone market worldwide. However, the increase in smartphone users in Indonesia has not translated to an increase in smartphone sales, which have decreased in Indonesia. So, understanding customer behavior is crucial for smartphone companies. As a result, the aim of this study is to explore the role of social influence, product features, and brand image on smartphone purchase decisions in Indonesia. This research uses a quantitative method, with primary data gathered through a survey with a total sample size of 278 respondents. The Partial Least Square Structural Equation Model (PLS-SEM) with the help of SmartPLS software is the data analysis method used in this investigation. Findings from this study are that social influence, product features, and brand image all significantly influence on smartphone purchase intention. The study also found that Purchase Intention has significant effects on Purchase Decision. Then, to have more precise results, future research may consider about including additional segmentation characteristics like gender or income level.

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling

Ubiquitous computing, the seamless integration of sensing, analytics, and feedback into daily life envisioned by Weiser [12], has come closer to reality with the broad adoption of smartphones and wearable devices. These devices, integral to users' daily routines, passively collect massive amounts of data on human behavior, offering unprecedented insights into personal health and well-being [7]. For example, passive sensing can continuously monitor subtle changes in behavior indicative of depression or other shifts in mental health status [10,14,15].

Unveiling the Path to Mobile Payment Adoption: Insights from Thai Consumers

Mobile payment, replacing traditional methods like cash and cards, offers users convenience and accessibility, benefiting individuals, businesses, and governments. However, most research on mobile payment adoption has primarily focused on developed countries, leaving a gap in understanding the adoption factors in developing nations. This study addresses this gap by investigating the determinants of mobile payment adoption in Thailand, an emerging economy experiencing significant smartphone adoption and e-commerce growth. Through a quantitative approach and a survey of 475 Thai consumers, this research applies an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model as a theoretical foundation to examine Thai consumers’ mobile payment adoption. Data analysis using SPSS 28.0 and AMOS 28.0 identifies key factors influencing Thai consumers to adopt mobile payment. By offering a comprehensive research model and considering evolving smartphone technology, this study aims to guide policymakers and stakeholders in promoting mobile payment adoption, ultimately enhancing Thailand’s economic development and tourism industry.

Assessing the Impact of Smartphone Use on Neck Pain and Related Symptoms Among Residents in Jeddah, Saudi Arabia: A Cross-Sectional Study.

The widespread adoption of smartphones has transformed global communication but raised health concerns like Text Neck Syndrome - a musculoskeletal condition arising from prolonged device use, causing discomfort in the cervical spine. This study investigates its prevalence and associated factors among smartphone users in Jeddah, Saudi Arabia, focusing on usage patterns, symptoms, and awareness. This cross-sectional online surveywas conducted from June 1 to June 30, 2024. Data on demographics, smartphone habits, symptoms, and Text Neck Syndrome awareness were collected using a structured questionnaire. Statistical analysis involved descriptive statistics and chi-square tests. The study included 421 participants, predominantly female (279, 66.3%) and Saudi nationals (397, 94.3%). The largest age group was 21-40 years (308, 73.2%), and most were single (251, 59.6%) with a college degree (236, 56.1%). Over 42.0% of participants used smartphones for more than five hours daily, with 39.4% adopting a 30-degree neck posture. The most prevalent symptoms reported were neck pain (272, 64.6%), headaches (203, 48.2%), and shoulder pain (178, 42.3%). Awareness of Text Neck Syndrome was reported by 197 participants (46.8%), but only 60 (14.3%) had been diagnosed. Concerns about long-term complications such as osteoporosis (105, 24.9%) and prolapsed intervertebral disc (120, 28.5%) were expressed. Despite these concerns, 97.9% of participants hesitated to reduce smartphone usage due to reported symptoms. This study highlights the significant musculoskeletal impact of smartphone use in Jeddah, underscoring the need for interventions promoting ergonomic practices and increasing awareness about associated risks. Public health strategies should focus on promoting ergonomic practices and educating users about preventive measures.

Virtual resonance: analyzing IPA usage intensity under COVID-19's isolating canopy

The widespread adoption of smartphones coupled with advancements in artificial intelligence has significantly propelled the use of intelligent personal assistants (IPAs). These digital assistants have become indispensable for many users, particularly during the COVID-19 pandemic. Employing coviance-based structural equation modeling (CB-SEM) and analyzing data from 260 participants, this study explores the key factors influencing IPA usage intensity. Contrary to expectations, affective risk perception showed no significant impact on either IPA usage or parasocial interaction during the pandemic. In stark contrast, cabin fever syndrome significantly influenced both IPA usage and parasocial interaction, underscoring the role of environmental and psychological stressors in shaping technology use. Furthermore, loneliness was found to significantly enhance parasocial interaction with IPAs, though it did not affect usage intensity. The findings highlight a substantial connection between parasocial interaction and IPA usage intensity, suggesting that users who engage in human-like interactions with IPAs tend to use them more extensively. These insights not only deepen our understanding of how IPAs are utilized during health crises but also point to potential directions for developing IPAs that are more responsive to users' emotional and social needs.

진보된 인터넷 발전효과가 스낵컬처에 미치는 영향

With the fast development of the lntemet in the late 20th century and the widespread adoption of smartphones, the importance of smartphones has increased significantly, becoming an integral part of daily life. This surge in smartphone usage has led to the emergence of various media and content, including the advent of “snack culture” and short-form content. While short-form content offers the advantage of quick and concise information consumption for media consumers, there is a downside of potential addiction due to easy access to infmmation. This paper focuses on the impact of the development of the Internet on the emergence of snack culture and its implications. The study categorizes the variables influenced by the advancement of the Internet into the usefulness and easy ues of smartphone adoption, the diversification of information search in terms of informativeness and immediacy, and the innovation and suitability of infmmation system development. It seeks to understand the causal relationships with the establishment of a multi-media environment and explores the satisfaction arising from the emergence of snack culture in various areas. The research involves data collection through surveys, and hypothesis testing is conducted using Smart PLS 4.0 and IBM SPSS version 23.0. The conclusions drawn are as follows: Firstly, the effects of the Internet development on smartphone adoption rates and the diversification of information search do not significantly impact the multi-media envirorunent, leading to the rejection of H1-1 and H1-2. Secondly, the impact of the Internet development on information system development is significant in the multi-media envirorunent, leading to the acceptance of H1-3. 1birdly, the multi-media envirorunent significantly influences the emergence of snack culture, supporting its adoption. The paper thus contributes to explodng the utilization of snack culture in various domains resulting from the effects of the Internet development.

Migrant remittances and the adoption of information and communication technology

In this study, we demonstrate that migrant families adopt ICT more than non-migrant households, the diffusion is higher among the recipients of remittances resulting from the long-duration, long-distance international migration than the short-duration, short-distance migration, and that foreign remittance recipients adopt advanced technologies to a greater extent compared to domestic remittance-recipients. We empirically test these hypotheses by using data on 160,624 households from the 2019 to 20 round of the Pakistan Social and Living Standards Measurement Survey and employing an instrumental-variable strategy as well as generalized two-step Heckman and Augmented Inverse Probability Weighting estimators. We come up with evidence of the significant effects of remittances on ICT adoption. Households with at least one domestic or international migrant, on average have 0.27 per capita mobile ownership and 0.12 higher probability of having internet at home compared to non-recipient households. This effect is visible more among international-remittance than domestic-remittance-receiving households. ICT adoption also increases with the amount received. We find that remittances accelerate the adoption of smartphones and social media apps. Besides, while international remittances substantially increase the use of smartphones, internet and social media apps, domestic remittances mainly improve basic phone adoption. Remittances also help reduce the rural-urban and male-female digital divide.

Modelling User Behavior Towards Smartphones and Wearable Technologies

The study employs bibliometric and content analysis to assess the current status of applying technology adoption models (such as the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Innovation Diffusion Theory (IDT)) to the smartphone market, which also encompasses smart wearables. Hereby, the author aims to explore the relationship between smartphone usage and adoption models and contribute to the literature through current trends and methodologies. To achieve the goal, the author applied a two-stage approach. In the first stage, 213 articles were analyzed using citation and bibliographic coupling tools in VOS viewer (version 1.6.20). The papers were selected from the Scopus database, and the search was conducted in the fields of economics, business, and computer technologies. In the second stage, the author conducted a brief literature review of the most influential papers. The results illustrate the situation regarding the implementation of various models in the case of smartphone adoption. Content analyses of the most influential papers were conducted to elucidate and enhance the findings of bibliometric analyses, identify research gaps, and guide future research development.

GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat.

Capitalizing on the widespread adoption of smartphones among farmers and the application of artificial intelligence in computer vision, a variety of mobile applications have recently emerged in the agricultural domain. This paper introduces GranoScan, a freely available mobile app accessible on major online platforms, specifically designed for the real-time detection and identification of over 80 threats affecting wheat in the Mediterranean region. Developed through a co-design methodology involving direct collaboration with Italian farmers, this participatory approach resulted in an app featuring: (i) a graphical interface optimized for diverse in-field lighting conditions, (ii) a user-friendly interface allowing swift selection from a predefined menu, (iii) operability even in low or no connectivity, (iv) a straightforward operational guide, and (v) the ability to specify an area of interest in the photo for targeted threat identification. Underpinning GranoScan is a deep learning architecture named efficient minimal adaptive ensembling that was used to obtain accurate and robust artificial intelligence models. The method is based on an ensembling strategy that uses as core models two instances of the EfficientNet-b0 architecture, selected through the weighted F1-score. In this phase a very good precision is reached with peaks of 100% for pests, as well as in leaf damage and root disease tasks, and in some classes of spike and stem disease tasks. For weeds in the post-germination phase, the precision values range between 80% and 100%, while 100% is reached in all the classes for pre-flowering weeds, except one. Regarding recognition accuracy towards end-users in-field photos, GranoScan achieved good performances, with a mean accuracy of 77% and 95% for leaf diseases and for spike, stem and root diseases, respectively. Pests gained an accuracy of up to 94%, while for weeds the app shows a great ability (100% accuracy) in recognizing whether the target weed is a dicot or monocot and 60% accuracy for distinguishing species in both the post-germination and pre-flowering stage. Our precision and accuracy results conform to or outperform those of other studies deploying artificial intelligence models on mobile devices, confirming that GranoScan is a valuable tool also in challenging outdoor conditions.

Smartphone application versus written material for smoking reduction and cessation in individuals undergoing low-dose computed tomography (LDCT) screening for lung cancer: a phase II open-label randomised controlled trial

Counseling, nicotine replacement, and other cessation medications have been proven effective in smoking cessation. The wide-scale adoption of smartphones and other mobile devices has opened new possibilities for scalable and personalized smoking cessation approaches. The study investigated whether a smartphone application would be more effective than written material for smoking cessation and reduction in smoking in individuals undergoing low-dose computed tomography (LDCT) screening for lung cancer (NCT05630950). This randomized controlled trial enrolled 201 current smokers with marked smoking history (smoked ≥15 cigarettes/day for ≥25 years or smoked ≥10 cigarettes/day for ≥30 years). Participants were stratified by age and pack-years and randomized in 1:1 fashion to the developed smartphone application (experimental arm) or written material (standard of care). All the subjects underwent LDCT screening. Self-reported smoking cessation at three and six months were the primary endpoints of the study. The smoking-related secondary endpoints of the study were the percentage of individuals who had reduced the number of smoked cigarettes/d from the baseline. Between Nov 18, 2022, and Apr 14, 2023, 201 patients were screened at Oulu University Hospital, Finland, of whom all were randomly assigned to smartphone application (n=101) or written cessation material (n=100); 200 were included in the full analysis set. Study arms were well-balanced for all the studied demographic factors. Subjects randomized to the smartphone application arm had significantly higher rates for self-reported smoking cessation at three (19.8 versus 7.1%; OR 3.175 CI 95% 1.276-7.899) and six months (18.8 versus 7.1%; OR 2.847 CI 95% 1.137-7.128). In the experimental arm, individuals with a frequent use of the application had a higher chance for smoking cessation at three (p<0.001) and six months (p=0.003). The study showed that the developed smartphone application increases the likelihood for smoking cessation in individuals undergoing lung cancer LDCT screening. AstraZeneca, Roche, and Cancer Foundation Finland.

CONSUMER BUYING BEHAVIOUR REGARDING ONLINE ADVERTISMENT

In the era of digitization, the landscape of marketing has undergone a profound transformation. Traditional methods of advertising are gradually being overshadowed by the pervasive influence of online platforms. Among the myriad forms of online marketing, online advertising stands out as a powerful tool for reaching consumers in an increasingly interconnected world. In the context of India, a country witnessing rapid digitalization and a burgeoning online population, understanding consumer buying behavior regarding online advertisements assumes paramount importance. This introduction serves to contextualize the significance of studying consumer behavior in the realm of online advertising within the Indian market. The proliferation of the internet and the widespread adoption of smartphones have revolutionized the way businesses engage with consumers. Online advertising, encompassing various formats such as display ads, social media promotions, search engine marketing, and influencer collaborations, has emerged as a cornerstone of modern marketing strategies. Its appeal lies in its ability to target specific demographics, track user interactions, and personalize content, thereby enhancing its effectiveness compared to traditional advertising channels.

EventPro – Application for Events

Abstract: In recent years, the event management landscape has undergone a profound transformation, driven by the emergence of event apps that have played a pivotal role in this evolution. This abstract delves into the concept of event apps, shedding light on their transformative impact and their potential to revolutionize the entire event lifecycle, encompassing planning, execution, and the overall event experience. Event apps are specialized software applications tailored to streamline the comprehensive event management process. Leveraging the widespread adoption of smartphones and the connectivity of the internet, these digital tools provide a seamless, enhanced event experience for attendees, organizers, and stakeholders. A prominent advantage of event apps is their capacity to simplify the event registration and ticketing process. Attendees can swiftly and conveniently register for events, select sessions, and make payments, effectively reducing the administrative workload for event organizers. Furthermore, event apps offer an array of features, including personalized schedules, interactive maps, and real-time notifications, ensuring attendees can effortlessly navigate events and stay informed about the latest updates. Beyond convenience, event apps foster valuable networking interactions among participants. They facilitate connections, meeting scheduling, and the exchange of contact information, opportunities that might have been challenging to achieve in a traditional event setting. They track attendee engagement, preferences, and behaviors, equipping organizers with insights to tailor future events for maximum impact. Additionally, event apps enable real-time communication, simplifying logistics management and responses to unexpected changes or challenges. As technology continues to advance, the potential for event apps to further revolutionize event planning, execution, and overall experiences is virtually limitless.

Investigating the impact of customer innovation characteristics on resistance to innovation: Case study of smartphone adoption in Erbil, Iraq

This research explores consumer resistance to smartphone innovation in the Erbil/Iraq, uncovering several significant findings. The main goal of the study was to identify the consumer characteristics that influence this resistance and its implications. For smartphone manufacturers, marketers, representatives, and researchers, this study offers a comprehensive understanding of consumer behavior and resistance to technological progress. The results can guide targeted strategies to overcome barriers, improve product development, and increase market share. The study contributes to our understanding of innovation resistance in the unique context of the Erbil/Iraq, highlighting the importance of conducting thorough investigations in similar circumstances. In light of the findings of the demographic survey, a significant portion of respondents were young people, supporting the widely held belief that young individuals are more likely to adopt new technology. However, the study emphasizes that age is not the sole determinant of resistance to innovation. The diminished impact of income, marital status, and gender on resistance indicates a complex interplay of factors. Conversely, a higher level of education was associated with a greater likelihood of embracing smartphone innovation. The study delved into various aspects of innovation and revealed that self-efficacy, motivation, complexity, perceived risk, and expectations of a superior product all significantly influenced consumer resistance. Resistance showed a negative correlation with self-efficacy as a psychological trait, suggesting that individuals with higher levels of self-efficacy were less resistant to smartphone innovation. Conversely, higher levels of complexity, perceived risk, expectations of a better product, and motivation were linked to increased resistance, highlighting the crucial role of behavioral and psychological characteristics in shaping consumer attitudes towards innovation. Relative advantage did not appear to have a significant influence, while compatibility and attitudes towards current products were deemed insignificant predictors of resistance. These findings underscore the intricate nature of innovation resistance and demonstrate that socio-demographic traits alone are insufficient as predictors. Consumer resistance is largely shaped by psychological elements such as self-efficacy, motivation, expectations, complexity, and perceived risk.

E-Governance for Smart Bangladesh: Prospects for Implementing the Vision in Public Administration

Despite facing challenges like urbanization and climate change, Bangladesh is thriving with a 7.3% annual economic growth rate. The government is advocating for a "Smart Bangladesh" to address resource and infrastructure management issues and foster sustainable development. The main goals include 5G internet, 100% smartphone adoption, 100% speed internet access, and cashless transactions. E-governance, leveraging ICT, plays a vital role in promoting efficiency, technical innovation, and citizen-focused services. This research aims to assess citizen engagement in e-governance and evaluate the implementation of strategies to achieve smart governance objectives. The research on e-governance for Smart Bangladesh focuses on the importance of user experience, awareness, technological integration, and community engagement. It highlights the potential impact of e-governance on citizen-government interactions. However, challenges like technical issues and rural-urban disparities feature the complexity of implementing comprehensive solutions. The research recommendations include enhancing user interfaces, increasing awareness, tailoring services to local needs, integrating innovative technologies, and promoting data-driven decision-making. These strategies contribute to a Smart Bangladesh with efficient, transparent, and citizen-centric governance.

Using Digital Forensics for Android Smartphone Devices to aid Criminal Investigations

In the past decade, there has been an exponential adoption and ownership of smartphones by billions of users worldwide. However, as smartphone usage increases, criminals have taken advantage of them for illicit or criminal purposes. In criminal investigations, smartphone data has become an invaluable source of information. This study focuses on constructing a snapshot of Android-operated smartphone data to assist investigators in answering critical investigative questions. A thorough review of the literature with regard to the use of smartphone evidence in criminal cases, with the goal of emphasising the investigative phase and the supportive role of mobile data evidence in guiding investigations will be performed. In order to identify additional persons of interest and develop a thorough understanding of the case, the methodology will entail analysing user profiles, smartphone usage patterns, communication logs, application usage, geographic lookups, and device interactions. By conducting a thorough examination of relevant literature, designing a suitable model, and executing a case study, the study intends to offer valuable perspectives on the creation of timelines or visual representations derived from smartphone data. The results of this study will contribute to improving the efficacy of mobile forensics in assisting investigators and facilitating the use of Android-operated smartphone data as supporting evidence in criminal investigations.