Smartphone Features Research Articles

An Automated Data-Driven Approach for Product Design Strategies to Respond to Market Disruption Following COVID-19

Abstract Online reviews provide a source to identify customer needs. While many studies have analyzed online reviews during the pandemic, it is worth noting that many customer preference studies in this period were not conducted within a product design context. The societal challenges presented by the prolonged COVID-19 pandemic, spanning nearly three years, have significantly impacted all facets of the population in a manner unparalleled in recent decades. Therefore, this research delves into the post-COVID-19 landscape, examining shifts in consumer preferences for diverse product features through an analysis of online reviews. Our framework unfolds in five stages: First, it collects online reviews and second, delves into customer interest in product features. Third, it analyzes customer sentiments toward these features. Fourth, employing interpretable machine learning techniques, it determines the significance of each feature. Fifth, an importance-performance analysis (IPA) and Kano models are utilized to formulate and analyze product strategies. The developed method is assessed on two real-world datasets—smartphone and laptop reviews. The results reveal that after the pandemic, customer satisfaction for the screen and camera in smartphones decreased, whereas it increased for those in laptops. In addition, the importance of battery features in smartphones and laptops has increased. These insights will aid companies in promptly formulating strategies to navigate dynamic market environments.

The Effect of Smartphone Features on Customer Engagement: The Mediating Role of Brand Value

Abstract The continuous increase in the use of smartphones and the rapid growth in the demand for these devices increase the interest in the subject. The smartphone market has attracted the attention of many businesses due to the increasing usage rates and has resulted in new brands and models joining the competition in the market. This research aims to examine the relationships between smartphone features, customer engagement, and brand value in the context of Turkish smartphone users. For this purpose, a theoretical model is proposed to encompasses the interactions between these variables. The model is tested by analyzing the data obtained from 726 Turkish smartphone users. The findings reveal that smartphone features have a strong influence on brand value and brand value has a strong influence on customer engagement. Smartphone features alone do not affect customer engagement. On the other hand, brand value is found to mediate the relationship between smartphone features and customer engagement.

HealthCall: Smartphone Enhancement of Brief Interventions to Improve HIV Medication Adherence Among Patients in HIV Care.

Heavy drinking among people living with HIV (PLWH) reduces ART adherence and worsens health outcomes. Lengthy interventions are not feasible in most HIV care settings, and patients infrequently follow referrals to outside treatment. Utilizingvisual and video features ofsmartphone technology, we developed HealthCall as an electronic means of increasing patient involvement in a brief intervention to reduce drinking and improve ART adherence. The objective of the current study is to evaluate the efficacy of HealthCall to improve ART adherence among PLWH who drink heavily when paired with two brief interventions: the National Institute on Alcoholism and Alcohol Abuse (NIAAA) Clinician's Guide (CG) or Motivational Interviewing (MI). Therefore, we conducted a 1:1:1 randomized trial among 114 participants with alcohol dependence at alargeurban HIV clinic. Participants were randomized to one of three groups: (1) CG only (n = 37), (2) CG and HealthCall (n = 38), or (3) MI and HealthCall (n = 39). Baseline interventions targeting drinking reduction and ART adherence were ~ 25min, with brief (10-15min) booster sessions at 30 and 60days.Theoutcomewas ART adherence assessed using unannounced phone pill-count method(possible adherence scores: 0-100%)at 30-day, 60-day, 3, 6, and 12months. Analyses were conducted using generalized linear mixed models with pre-planned contrasts. Of the 114 enrolled patients, 58% were male, 75% identified as Black/African American, 28% were Hispanic, and 62% had less than a high school education. The mean age was 47.5years (standard deviation [SD] 10years) and the mean number of years since they were diagnosed with HIV was 18.6 (SD 7.6). Participants assigned to HealthCall to extend the CG had increased levels of ART adherence at 60-day and 6-month follow-up (compared to CG only), although there was no statistically significant difference by 12-month follow-up. Participants who were assigned to HealthCall to extend the MI never had statistically significant higher levels of ART adherence. These results suggest that the use of a smartphone app can be used to initially extend the reach of a brief drinking intervention to improve ART adherence over a short period of time;however, sustained long-term improvements in ART adherence after intervention activity ends remains a challenge.

A Study of Smartphone Features as Antecedents of Brand Affect in Gujarat State in India

The Indian smartphone segment is growing at a as the device has become an indispensable part of the lives of people. Because of the important role that it plays in our daily life, it is expected that some form of attachment or feelings would be experienced by consumers with their brands. The aim of the study is to study whether the features provided in smartphones influence the development of feelings/affect towards the brands. Six features are mentioned by respondents in a pilot survey and using survey data from 215 respondents in two cities in Gujarat, it is found that some features like brand performance, brand image and design have a significant influence on brand affect formation. Marketers of smartphones can keep improving on these significant features so that consumers develop an emotional bond with their brands. Key Words: brand affect, smartphone features, smartphone, brand image, design, performance

Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study

While studies show links between smartphone data and affective symptoms, we lack clarity on the temporal scale, specificity (e.g., to depression vs. anxiety), and person-specific (vs. group-level) nature of these associations. We conducted a large-scale (n = 1013) smartphone-based passive sensing study to identify within- and between-person digital markers of depression and anxiety symptoms over time. Participants (74.6% female; M age = 40.9) downloaded the LifeSense app, which facilitated continuous passive data collection (e.g., GPS, app and device use, communication) across 16 weeks. Hierarchical linear regression models tested the within- and between-person associations of 2-week windows of passively sensed data with depression (PHQ-8) or generalized anxiety (GAD-7). We used a shifting window to understand the time scale at which sensed features relate to mental health symptoms, predicting symptoms 2 weeks in the future (distal prediction), 1 week in the future (medial prediction), and 0 weeks in the future (proximal prediction). Spending more time at home relative to one’s average was an early signal of PHQ-8 severity (distal β = 0.219, p = 0.012) and continued to relate to PHQ-8 at medial (β = 0.198, p = 0.022) and proximal (β = 0.183, p = 0.045) windows. In contrast, circadian movement was proximally related to (β = −0.131, p = 0.035) but did not predict (distal β = 0.034, p = 0.577; medial β = −0.089, p = 0.138) PHQ-8. Distinct communication features (i.e., call/text or app-based messaging) related to PHQ-8 and GAD-7. Findings have implications for identifying novel treatment targets, personalizing digital mental health interventions, and enhancing traditional patient-provider interactions. Certain features (e.g., circadian movement) may represent correlates but not true prospective indicators of affective symptoms. Conversely, other features like home duration may be such early signals of intra-individual symptom change, indicating the potential utility of prophylactic intervention (e.g., behavioral activation) in response to person-specific increases in these signals.

Revealing the Intricate Relationship Between Ocean Currents and Marine Life

This observe explores the difficult courting between ocean currents and marine existence, offering a comprehensive information of the dynamics shaping marine ecosystems. Descriptive information were hired to research both demographic variables and smartphone feature preferences in the look at sample. The average age and earnings of contributors had been determined to be 30.Five years and $50,000, respectively, revealing crucial inclinations with slight variability. However, greater detailed training degree information are wished for a complete demographic profile. Smartphone characteristic choices established a high-quality emphasis on digicam great and battery life, with rate rising as moderately critical. These findings contribute precious insights to marine ecology and smartphone customer conduct. Despite certain limitations, this studies lays the groundwork for further exploration and sensible applications in environmental conservation and client product development aligned with user options.

Device Features and/or Personality Traits? Disentangling the Determinants of Smartphone Nomophobia and Pathology among Urban Millennials

Smartphones have emerged as a mobile device that provides users with "smart" functionalities, aesthetics features and capabilities. These smart devices are the “must have” advanced communication tools and have been assimilated as an integral part of the everyday life. Although academic scholars and practitioners have started to venture into a research stream that focuses on behavioral models to elucidate and predict smartphone consumption trends and behavior, however, there is limited empirical research that attempts to unleash factors that triggered smartphone users to become nomophobia (no mobile phone phobia) and consecutively in turn become pathology (also known as addiction or dependency) user. Henceforth, this work seeks to explore both emerging phenomena by developing and validating a research model which is based on the Media Dependency Theory. The structural equation modelling analysis was conducted using Smart Partial Least Square (SmartPLS3) procedure with a dataset of 272 smartphone users who belong to the urban Millennials generational cohort. Two main predictors are hypothesized, which are the smartphone features (software and hardware) and users’ personality traits (openness, neuroticism, and extraversion). The results suggest that multiple facets of smartphone users’ personalities, particularly neuroticism significantly cause the smartphone users to become nomophobia and subsequently pathological. Whereas, the device hardware features have a positive significance effect on nomophobia, nevertheless not trigger pathology. Surprisingly, software features of the smartphone do not offer evidence of their effect on nomophobia as well as pathology. The key findings uncovered from this exploratory research provide rich insights for theoretical and practical implications.

Specific associations of passively sensed smartphone data with future symptoms of avoidance, fear, and physiological distress in social anxiety

BackgroundPrior literature links passively sensed information about a person's location, movement, and communication with social anxiety. These findings hold promise for identifying novel treatment targets, informing clinical care, and personalizing digital mental health interventions. However, social anxiety symptoms are heterogeneous; to identify more precise targets and tailor treatments, there is a need for personal sensing studies aimed at understanding differential predictors of the distinct subdomains of social anxiety. Our objective was to conduct a large-scale smartphone-based sensing study of fear, avoidance, and physiological symptoms in the context of trait social anxiety over time. MethodsParticipants (n = 1013; 74.6 % female; M age = 40.9) downloaded the LifeSense app, which collected continuous passive data (e.g., GPS, communication, app and device use) over 16 weeks. We tested a series of multilevel linear regression models to understand within- and between-person associations of 2-week windows of passively sensed smartphone data with fear, avoidance, and physiological distress on the self-reported Social Phobia Inventory (SPIN). A shifting sensor lag was applied to examine how smartphone features related to SPIN subdomains 2 weeks in the future (distal prediction), 1 week in the future (medial prediction), and 0 weeks in the future (proximal prediction). ResultsA decrease in time visiting novel places was a strong between-person predictor of social avoidance over time (distal β = −0.886, p = .002; medial β = −0.647, p = .029; proximal β = −0.818, p = .007). Reductions in call- and text-based communications were associated with social avoidance at both the between- (distal β = −0.882, p = .002; medial β = −0.932, p = .001; proximal β = −0.918, p = .001) and within- (distal β = −0.191, p = .046; medial β = −0.213, p = .028) person levels, as well as between-person fear of social situations (distal β = −0.860, p < .001; medial β = −0.892, p < .001; proximal β = −0.886, p < .001) over time. There were fewer significant associations of sensed data with physiological distress. Across the three subscales, smartphone data explained 9–12 % of the variance in social anxiety. ConclusionFindings have implications for understanding how social anxiety manifests in daily life, and for personalizing treatments. For example, a signal that someone is likely to begin avoiding social situations may suggest a need for alternative types of exposure-based interventions compared to a signal that someone is likely to begin experiencing increased physiological distress. Our results suggest that as a prophylactic means of targeting social avoidance, it may be helpful to deploy interventions involving social exposures in response to decreases in time spent visiting novel places.

Linguistic and non-linguistic markers of disorganization in psychotic illness.

Disorganization, presenting as impairment in thought, language and goal-directed behavior, is a core multidimensional syndrome of psychotic disorders. This study examined whether scalable computational measures of spoken language, and smartphone usage pattern, could serve as digital biomarkers of clinical disorganization symptoms. We examined in a longitudinal cohort of adults with a psychotic disorder, the associations between clinical measures of disorganization and computational measures of 1) spoken language derived from monthly, semi-structured, recorded clinical interviews; and 2) smartphone usage pattern derived via passive sensing technologies over the month prior to the interview. The language features included speech quantity, rate, fluency, and semantic regularity. The smartphone features included data missingness and phone usage during sleep time. The clinical measures consisted of the Positive and Negative Symptom Scale (PANSS) conceptual disorganization, difficulty in abstract thinking, and poor attention, items. Mixed linear regression analyses were used to estimate both fixed and random effects. Greater severity of clinical symptoms of conceptual disorganization was associated with greater verbosity and more disfluent speech. Greater severity of conceptual disorganization was also associated with greater missingness of smartphone data, and greater smartphone usage during sleep time. While the observed associations were significant across the group, there was also significant variation between individuals. The findings suggest that digital measures of speech disfluency may serve as scalable markers of conceptual disorganization. The findings warrant further investigation into the use of recorded interviews and passive sensing technologies to assist in the characterization and tracking of psychotic illness.

암호화된 스마트폰 압수·수색 규범의 법률화 필요성

The discovery of the substantive truth of a crime requires evidence. In the past, the confession of a suspect was considered the “king of evidence”. However, in modern criminal procedures that prioritize objective and scientific evidence, smartphones have taken over as the “king of evidence” due to their ability to contain various personal information such as photos, videos, voice recordings, location data, and messages. As a result, criminals employ various means to destroy their smartphones, while investigative agencies make efforts to prioritize securing the smartphones of suspects. The advancement of technology and features in smartphones has made the legality of the seizure and search procedures for smartphones crucial. However, the criminal procedure law has not developed in parallel to accommodate the changing landscape of seizure and search of smartphones. Therefore, provisions regarding analog evidence, a few regulations related to digital evidence, and court judgments and decisions form the norms for the seizure and search of smartphones. The current criminal procedure law lacks sufficient provisions regarding the seizure and search of smartphones and should be explicitly stated in the law in a timely manner. To address this, this paper examines the main regulatory contents by categorizing them into stages such as the issuance of warrants for the seizure and search of smartphones, execution of such warrants, selective seizure of smartphones, and analysis stages. Smartphones contain a significant amount of personal information. Therefore, excessive seizure and search of smartphones can infringe not only on the property rights of the person being seized but also on their personal information, privacy, and, in some cases, intellectual property rights. On the other hand, insufficient seizure and search can hinder the discovery of the substantive truth of a crime. Thus, regulations explicitly established in the law should comprehensively consider the characteristics of smartphones, the fundamental rights infringed upon the person being seized, and the discovery of the substantive truth. The seizure and search procedures for smartphones should not continue in their current defective form. Basic contents that need to be regulated by law should be explicitly stated in the criminal procedure law. To achieve this, the legislative and justice departments need to make more proactive efforts in the legislative process.

Quantitative road crack evaluation by a U‐Net architecture using smartphone images and Lidar data

AbstractRoad cracks are a major concern for administrators. Visual inspection is labor‐intensive. The accuracy of previous algorithms for detecting cracks in images requires improvement. Further, the length and thickness of cracks must be estimated. Light detection and ranging (Lidar), a standard smartphone feature is used to develop a method for the completely automatic, accurate, and quantitative evaluation of road cracks. The two contributions of this study are as follows. To achieve the highest segmentation accuracy, U‐Net is combined with data augmentation and morphology transform. To calculate the crack length and thickness, crack images are registered into Lidar color data. The proposed algorithm was validated using a public database of road cracks and those measured by the authors. The algorithm was 95% accurate in determining crack length. The coefficient of determination for thickness estimation accuracy was 0.98 addressing various crack shapes and asphalt pavement patterns.

Just TRAC it! Transitioning Responsibly to Adult Care Using Smart Phone Technology

PurposeThere is little evidence on whether smartphone technology influences transition readiness among adolescents with heart disease. Just TRAC it! is a method of using existing smartphone features (Notes, Calendar, Contacts, Camera) to manage personal health. We evaluated the impact of Just TRAC it! on self-management skills. MethodsRandomized clinical trial of 16–18 year-olds with heart disease. Participants were randomly allocated 1:1 to either usual care (education session) or intervention (education session including Just TRAC it!). The primary outcome was change in TRANSITION-Q score between baseline, 3 and 6 months. Secondary outcomes were frequency of use and perceived usefulness of Just TRAC it! Analysis was intention-to-treat. ResultsWe enrolled 68 patients (41% female, mean age 17.3 years), 68% having previous cardiac surgery and 26% had cardiac catheterization. TRANSITION-Q scores were similar at baseline and increased over time in both groups but were not significantly different between groups. Each additional point at the baseline score brought, on average, a 0.7-point increase in TRANSITION-Q score (95% CI 0.5–0.9) at each of 3 and 6 months. The Camera, Calendar and Notes apps were reported as most useful. All intervention participants would recommend Just TRAC it! to others. DiscussionA nurse-led transition teaching with versus without Just TRAC it! improved transition readiness, with no significant difference between groups. Higher baseline TRANSITION-Q scores were associated with greater increase in scores over time. Participants had a positive reception to Just TRAC it! and would recommend it to others. Smartphone technology may be useful in transition education.

Types of smartphone usage and problematic smartphone use among adolescents: A review of literature

This review aimed to provide an overview of the influence of social and process smartphone use on problematic smartphone use (PSU) among adolescents aged between 10-24 years old. Social smartphone use comprises three types of smartphone features: social networking sites, chatting/texting/instant messaging, and video/phone calls. On the other hand, categories of process smartphone use include watching videos/television/movies, web surfing, playing games, listening to music/podcasts/radio, and educational learning. There were 42 studies with a total of 139,389 adolescents met the criteria for inclusion after a thorough search of academic databases. Overall, the evidence from the studies included in this review revealed that chatting/texting, video/phone calls, watching videos/television/movies and music/podcasts/radio were positively and significantly linked to and predicted problematic smartphone use. Social networking sites use, instant messaging, gaming, web surfing and educational learning yielded inconsistent results. They could have a positive or negative relationship with PSU and play a role in predicting PSU. More research is needed for music/podcasts/radio and video/phone calls because the results are still scarce.

Smartphone Use on Accommodation and Vergence Parameters: A Systematic Review

Introduction: The frequency and the trend of smartphone use increase rapidly, and 85% of Malaysians owns a smartphone and spend an average of 187 minutes per day to use the smartphone. Aims: To evaluate the potential effects of smartphone use on Accommodation and Vergence of the users. Methods: A total of 18 articles were selected in this review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, and the research question was formulated based on the population, intervention, control, and outcomes (PICO) method. This review was registered with PROSPERO (reference number: CRD42022293325). Data Sources: Databases namely PubMed, Web of Science, and Science-Direct were used in the article search using appropriate keywords, phrases, and Medical Subject Heading (MeSH) terms. The inclusion criteria of this review were journal articles published from January 2010 until December 2021 with full articles or abstract in English available. Results: Accommodative function has been reported to changed significantly with 20 minutes of smartphone use, with reduced amplitude, facility, relative and increased lag. In addition, vergence function has been reported to be altered significantly with receded near point of convergence. Conclusion: Smartphone use has an effect on the accommodation and vergence parameters among adults. Assessments of accommodation and vergence parameters need to be conducted in patients with the symptoms of Computer Vision Syndrome to prevent vision problems. Future reviews are required in younger cohorts with various smartphone features.

Smartphones: The Future of Smart Dentistry

Smartphones is the new technological device that is available in more than three fourth of the population. The different use of smart phones can be considered in dentistry thereby utilizing the recent advancement. The various features in smartphones can be taken into different application levels, so that it is useful to dentist, patients and even for students. Everything is made available at fingertips in a matter of seconds with the help of smart phones. Smart phone can be used in teledentistry, clinics, photography, biomechanics, diagnosis, orthodontics, triaging emergencies, brushing evaluation, shade matching, anxiety assessment and so on. Dentistry can make use of the smartphones with various apps and features added to it day by day. Smartphone with internet has made it accessible anything at any time within seconds. The world is changing, so as the dentistry. Smartphone is thus the key for smart dentistry.

The Tale of a Complicated Relationship

Smartphones have gotten under public scrutiny due to their ostensible negative impact on users' well-being. Nonetheless, users and related work report positive aspects of smartphones, too. We investigated this discrepancy through the prism of the emotional user-smartphone relationship by having people write love/breakup letters to their smartphones. We gathered 82 letters - 42 before and 40 during the COVID-19 pandemic. We found a mixed nature regarding the distribution of love and breakup letters and associated emotions based on the revisited OCC-model of emotions - with a slight shift towards the negative emotional spectrum during the COVID-19 pandemic. Furthermore, we performed an extensive qualitative analysis of 819 user statements extracted from the letters, resulting in a connection of emotions to 17 smartphone features and eight themes of real-life consequences of smartphone use. We then identified eight common patterns of this connection, classified as smartphone roles. The collected letters mostly model a complex user-smartphone relationship, comprising different roles depending on users' inner and outer context. We discuss how HCI could help in shaping the complex user-smartphone relationship in future research and suggest supporting a healthy balance between users' daily life and smartphone use.

Online Information-Based Product Evolution Course Mining and Prediction

In today’s fiercely competitive business environment, product design and development play critical roles in an enterprise’s success; therefore, consumer demand must be understood. Enterprises used to understand their consumers’ demands through time-consuming questionnaire surveys and statistical analyses. As the Internet and the popularity of virtual communities have grown, more consumers are leaving comments about their perceptions of the appeal of products on online social media platforms, thus enabling enterprises to more objectively understand consumers’ product preferences and demands. Therefore, determining how to effectively assist enterprises in analyzing valuable information beneficial to product design and development that can be gleaned from the large amount of social media data available is critical to promoting an enterprise’s competitive advantage in the product market. However, previous studies have primarily focused on understanding consumer viewpoints of products through review articles or electronic word-of-mouth (eWOM; it is a common channel for spreading product appraisals) from online social media. For these review articles and eWOM that can imply consumer demand for product features, there were no relevant studies focused on analyzing consumer demand by using both online review articles and eWOM for product feature evolution. Therefore, for new product features, this study developed a mechanism for product evolution course mining from product-related review articles (such as product functions or specifications) and eWOM on online social media to realize the prediction of future product features or specifications, and then assist enterprises in rapidly and accurately grasping product development trends to effectively discern key reference information for product design and development. The study was achieved by (1) designing a process for online information-based product evolution course mining and prediction, (ii) developing techniques related to online information-based product evolution course mining and prediction, and (iii) implementing and evaluating an online information-based product evolution course mining and prediction mechanism. The experimental results indicated that approximately 81% of developers were satisfied with the proposed system for predicting smartphone features. The results of the study can facilitate the mining and prediction of online information-based product evolution course to assist enterprises in rapidly and accurately grasping product development trends and effectively provides important reference information for product design and development; therefore, it can enhance competitive advantages and customer satisfaction of enterprise products in the marketplace.

The Intention to Use Digital Banking Services among Gen Z in Indonesia Based on Technology Acceptance Model (TAM)

&#x0D; As information technology advances, societal demands rise, and smartphone features and sophistication rise along with them, banks must adapt to meet the current demand. For Indonesians, who are accustomed to use cash, digital banking will become new digital transformation. There is no information available on the variables that might affect Indonesians’ behavior intentions about using digital banking services. In particular, among generation Z in Indonesia following the COVID-19 outbreak, this research seeks to investigate the connection between perceived usefulness, perceived ease of use, and self-efficacy in consumers' intention for using digital banking services based on the Technology Acceptance Model (TAM). For the survey data gathered from 150 generation Z, multivariate data analysis approaches (reliability and validity test, multiple linear regression, collinearity analysis, and path estimations) are utilized. The results of this study's analysis demonstrate that perceived usefulness indicates a great influence on the attitude and intention to use digital banking services, compared to the perceived ease of use and self-efficacy. Therefore, for customers to completely comprehend the advantages associated with using digital banking services, it is critical to boost their perception of the usefulness of the services in their daily life.&#x0D;

Intelligence and Usability Empowerment of Smartphone Adaptive Features

In adaptivity, the interface of the device automatically adjusts and assists the user. The adaptive user interfaces can adapt their activities by monitoring user status, the state of the system, and the current situation according to the adaptation strategy. Usually, the intensity of adaptation is measured in effectiveness, efficiency, and satisfaction to analyze the smartphone’s adaptive features. The adaptive features of light-emitting diode (LED) notifications, voice commands, face recognition, screen rotation, kid mode, drive mode, night mode, Swift Keyboard, s-health, gesture recognition, and fingerprint are selected for both iOS and Android platforms. Task completion within a specific time frame is used to measure effectiveness and efficiency, while satisfaction is calculated using the after-scenario questionnaire (ASQ). A total of 550 users are involved in the experimentation. The usability evaluation is measured for smartphone features. The effectiveness of adaptive features contains higher adaptivity in face recognition (87%) and voice command (85%). Furthermore, the satisfaction level is greater for adaptive features than non-adaptive features. This study indicates that adaptive features can only be used after a thorough examination of the user’s context. Furthermore, the usability evaluation shows that there is a dire need for adaptive smartphone features to provide ease and satisfaction to the user.

‘Immediate access … everywhere you go’: a Grounded Theory Study of How Smartphone Betting Can Facilitate Harmful Sports Betting Behaviours Amongst Young Adults

This study explored how the use of smartphones can influence sports betting by young adults, compared to using computers and land-based betting facilities. Interviews with 33 Australians aged 18–29 years, who bet regularly on sports, esports, and/or fantasy sports, were analysed using adaptive grounded theory. Seven major themes related to platform functionality, sourcing betting information, physical accessibility, financial accessibility, social influences, privacy, and marketing. The grounded theory model depicts how features of smartphones, online gambling, and betting apps combine in smartphone betting to provide instantaneous access to betting, anywhere and at any time, to facilitate harmful betting behaviours. These behaviours included increased betting participation, frequency and expenditure, placing a wider variety of bets, impulsive and spontaneous betting, placing riskier bets with longer odds, chasing losses, and acting on social encouragement to bet. These findings can inform harm minimisation measures, regulation, and policy.