Articles tagged with Smartphones
Research found that distractions while engaging in hedonic activities lead to lower enjoyment and satisfaction, resulting in overconsumption. Participants who were distracted during lunch reported lower enjoyment and satisfaction, which was associated with increased snacking later in the day.
A wireless feedback system is comparable to a similar system with added coaching in achieving meaningful weight loss. The study suggests that technology alone may not produce clinically acceptable weight loss for most individuals, highlighting the need for stepped care with human coach support.
A study by Brigham and Women's Hospital found that patients with limited English proficiency are more likely to rate video health care visits as worse than in-person appointments, despite having access to telehealth services. The study highlights the need for designing telehealth platforms that better serve marginalized populations.
Researchers at the University of Oklahoma are developing evidence-based mobile health interventions to treat substance use disorders. By leveraging smartphones, they aim to create highly tailored interventions delivered at the right time for individuals, reducing stigma and improving treatment outcomes.
Despite concerns about data privacy risks in the post-Roe era, many American women continue to use popular period-tracking apps without taking steps to protect their information. The study found that users are unsure how to take control of their data and feel in the dark about how it is used and shared on these apps.
Text messaging and bulk ordering can significantly increase mammogram completion rates for breast cancer screening outreach. The study found that these interventions are effective in improving adherence to recommended screening guidelines.
Researchers found that popular teens sleep less than their peers, with popular girls experiencing more insomnia symptoms. This study suggests that social context and emotional investment may contribute to sleep difficulties in popular teenagers.
A team of researchers has developed a novel approach using game theory to maximize Wi-Fi performance by optimizing user positions. By analyzing the incentives for all users, their potential game model condenses the impact of new users and inter-user interference into a single function.
A new study published in Clinical Chemistry and Laboratory Medicine reveals that smartphone swabs can successfully detect drugs on phone surfaces. The method, which uses dry swabs, identified MDMA, cocaine, and THC as the most common substances, with other drugs including ketamine, LSD, and heroin also detected.
Researchers used fitness trackers and smartphone data from 55 MS patients and 24 controls to identify clinically useful information. Data on physical activity, heart rate variability, and phone usage revealed relationships between disease severity, fatigue levels, and motor function.
A study found that almost 17% of adolescents experience weight-related bullying online, with the highest rates reported by Twitter users. The survey also revealed a strong association between screen time, social media use, and weight-related bullying, with a 13% increase in bullying for every additional hour of screen time.
Researchers develop AI-assisted algorithm to analyze surgical videos of cataract surgeries in Global South, aiming to improve surgical outcomes and training. The algorithm can work with conventional image material and smartphone videos, addressing the need for resource-saving solutions in these countries.
Researchers from Aalto University found that individuals who gave up their smartphones had to adapt to life without the convenience of mobile apps. They employed technical workarounds such as using stand-alone devices or borrowing friends' phones to overcome limitations in daily life.
A team of researchers developed an AI-powered computer vision model to detect Brazilian wild animals on roads and warn drivers in real-time. The system uses roadside cameras and portable computers to identify species such as anteaters, wolves, and tapirs, with the potential to save lives and reduce roadkill.
Researchers developed a new method to detect heart failure using smartphones by analyzing heart movement. The technology has been shown to be accurate in identifying patients with heart failure, offering potential benefits for remote monitoring and treatment.
A digital health platform with one-on-one telehealth coaches significantly improves patient adherence to pre-surgical preparation and post-surgical recovery guidance. Patients who used the platform had shorter hospital stays and lower risk of readmission compared to those who didn't use it.
A new approach uses a smartphone screen to create full-color 3D holographic images by leveraging computer-generated holography (CGH) and an optical component called a spatial light modulator. The method has the potential to enhance near-eye displays in virtual reality headsets, creating more realistic and interactive user experiences.
Researchers developed a smartphone cognitive testing app that detects early signs of FTD in gene carriers before symptoms appear. The app was found to be comparable to gold-standard methods and may enable greater participation in clinical trials.
The study reveals that smartphone-based cognitive assessments can provide reliable and valid results for diagnosing frontotemporal lobar degeneration. These findings suggest a scalable solution for remote evaluations, which may enhance early detection.
Researchers at Kennedy Krieger Institute and Johns Hopkins Medicine developed a new method for analyzing walking and gait using free software and cellphone videos. This approach is more accessible and quicker than current state-of-the-art methods, enabling clinicians to assess patients' walking abilities more conveniently.
Researchers found that adding a note to play up psychological sense of ownership was more effective at convincing people to get the booster. This approach outperformed lab findings and expert insights, highlighting the importance of reproducibility in behavioral science.
A novel approach estimates metabolic activity and infers blood glucose levels from near-infrared measurements in commercial smartphones and smartwatches. The phase delay between oxyhemoglobin and deoxyhemoglobin signals closely relates to oxygen consumption during cardiac cycles, serving as a gauge for metabolism.
A new cellphone app developed by physician-scientists uses artificial intelligence to accurately diagnose ear infections in young children, reducing unnecessary antibiotic use. The AI tool is more accurate than trained clinicians and offers a simple solution for healthcare providers.
A new smartphone application using AI and facial-image processing software detects the onset of depression before symptoms appear. MoodCapture captures facial expressions and surroundings, then evaluates them for clinical cues associated with depression.
A bilingual healthcare app is being launched to assist Canadians in maintaining their health during the current healthcare crisis. The app aims to encourage users to take proactive steps towards preventative care, providing them with personalized recommendations and resources.
Scientists from Tokyo Tech propose two design techniques to minimize unwanted signals known as fractional spurs, which degrade phase noise in output of the PLL. The first technique uses a cascaded-fractional divider and achieves a -62.1dBc fractional spur, while the second technique employs a pseudo-differential DTC, resulting in an in...
A study conducted by Newcastle University found that using a smartphone application to monitor residents in care homes reduced A&E attendances by 11% and emergency admissions by 25%. The app, Health Call, provided real-time data to enable early identification of deterioration and better management of illnesses.
Researchers at UW developed a wireless wearable earring that monitors earlobe temperature, detecting fever, eating, exercise, and ovulation. The earring's battery life is 28 days, and it can be personalized with fashion designs without affecting accuracy.
Researchers developed a compact facial recognition system that uses metasurfaces to create high-resolution images. The new technology recognized Michelangelo's David with similar accuracy as existing smartphone systems, using significantly less power and space.
The study highlights the potential of crowdsourced geospatial data to improve decision-making processes in various industries. Researchers identified seven challenges associated with crowdsourced data, including ensuring quality and accuracy, protecting privacy, and navigating legal issues.
A smartphone-based mall walking program combined with physical shopping mall facilities and digital incentive coupons increased daily walking steps. The study found that this innovative approach can motivate people to walk more, promoting a healthier lifestyle.
The SLICES research infrastructure, launched by UC3M and IMDEA Networks, provides high-quality experimentation services with emerging technologies like 5G/6G, IoT, NFV, or Cloud Computing. This Spanish node aims to support the scientific community in experimenting with cutting-edge resources.
A new smartphone app called All_Aboard has been developed to aid blind and visually impaired individuals in finding bus stops. The app uses artificial intelligence and camera technology to detect street signs and provide auditory cues, achieving a success rate of 93% compared to Google Maps' 52%.
Researchers at Cornell University have developed a new lithium battery that can charge in under five minutes while maintaining stable performance over extended cycles. The breakthrough could alleviate range anxiety among drivers who worry about electric vehicle charging time.
A recent study by University of Cincinnati Blue Ash students found that individuals with clinically significant levels of OCD are more prone to problematic smartphone use. The research also highlighted the impact of fear of missing out, boredom proneness, and inhibitory anxiety on the relationship between OCD and PSU.
Multicommunicating can enhance primary tasks and minimize delays when done correctly. Effective management of communication partners' expectations is key to avoiding distractions.
Research found mobile phone users process information faster but are more likely to fall for misinformation compared to personal computers. PC users, however, are more susceptible to phishing attempts, highlighting the importance of device-specific responses.
A tiny bacterium, Vibrio natriegens, has been genetically engineered to increase its ability to extract rare earth elements through biosorption, a sustainable method. This breakthrough could improve the efficiency of processing and bring rare earth element mining back to domestic productivity.
A study by Carnegie Mellon University found that using alternative data from smartphones is more effective in improving financial inclusion (23% better) and business profitability (42% better) compared to social media data. This approach can help microloan companies adopt cost-effective solutions and offset potential economic loss.
A study of over 50,000 Korean adolescents found that those using smartphones for more than 4 hours a day had higher rates of stress, thoughts of suicide, and substance use. In contrast, lighter users showed no greater health risks compared to non-users.
Smartphone usage patterns differ substantially between urban and rural populations, with urban users favoring social media platforms like Instagram and Twitter. In contrast, rural users tend to use Facebook and Snapchat, suggesting that environment influences smartphone behavior.
Researchers from RMIT University found that Australians aged 20 to 40 years old take more selfies than teenagers and older Australians. Older participants used their smartphones for functional purposes like capturing information at work, whereas teenage participants preferred taking photos during exciting events or with friends.
A systematic review of 13 randomized clinical trials found that app-based interventions are effective in treating moderate to severe depression. The study's findings support the use of mobile apps as a practical tool for clinical practice.
A recent study published in the Proceedings of the National Academy of Sciences found that AI's deep convolutional neural networks can identify faces but struggle to capture other important information like emotional state and trustworthiness. Brain activity scans revealed a weak correlation between AI's codes and human brain represent...
Researchers found that changes in voice patterns predicted alcohol intoxication with 98% accuracy. The study suggests that smartphones and smart speakers could be used to deliver 'just-in-time interventions' to prevent injuries and deaths from motor vehicle accidents.
A new smartphone app using the APRI+ALBI score increases the safety of liver surgery by providing an individualized risk assessment for patients prior to resection. The score offers a cheaper and less invasive option with comparable predictive power compared to standard preoperative tests.
A study by Nagoya University found that children with a genetic predisposition to autism spectrum disorder (ASD) used screens for longer periods. Children with attention deficit hyperactivity disorder (ADHD) also increased their screen time as they grew older, suggesting a potential link between genetic risk and excessive screen use.
A new study published in the University of East Anglia shows that automated insulin delivery technology can help pregnant women with type 1 diabetes better manage their blood sugars. The technology, known as Hybrid Closed-Loop or Artificial Pancreas, helps to substantially reduce maternal blood sugars throughout pregnancy.
Using anonymized smartphone data, researchers found that police spend more time patrolling non-white neighborhoods, with disparities linked to socioeconomic and crime-driven demand for policing. The study reveals a strong correlation between racial composition of a neighborhood and police presence.
A smartphone attachment developed by UC San Diego engineers can screen for neurological conditions like Alzheimer's disease and traumatic brain injury at low cost, accurately regardless of skin tone. The technology uses far-red light to enhance visibility of the pupil, making it easier to track changes in eye movement.
A study by Medical University of Vienna found that AI algorithms in smartphone applications perform well in diagnosing pigmented skin lesions, but are outperformed by doctors in treatment decisions. The 7-class algorithm showed equivalent diagnostic accuracy to experts, while the ISIC algorithm performed worse.
A new study by Klick Labs reveals that AI technology can screen for Type 2 diabetes using six to 10 seconds of a person's voice, with high accuracy rates. The research used acoustic features to analyze recordings from over 18,000 participants and identified significant vocal variations between individuals with and without the condition.
A pioneering international study led by UOC researchers finds that older people in Spain and Israel use smartphones more than those in Canada and Romania due to access to affordable internet rates. The study contradicts the stereotype that growing older leads to decreased digital technology use.
Researchers at Cornell University have developed a new method to purify rare earth elements using metal-loving microbes. The microbe selectively adsorbs and purifies these elements, eliminating the need for harsh chemicals.
Researchers from Tokyo Tech have developed an organic light-emitting diode (OLED) with a remarkable ultralow turn-on voltage of 1.47V for blue emission. The device uses upconversion mechanism to reduce applied voltage, enabling efficient blue OLED production.
A new study from the University of Georgia found that people generally enjoy conversation over smartphone use, with a significant emotional boost from talking to strangers. In contrast, sitting alone was found to be the least preferred task, even when participants were given a choice.
Neurological soft signs (NSS) can distinguish people with schizophrenia from healthy individuals. Smartphone sensing technology offers a standardized assessment method, reducing subjective rating systems' barriers.
A team led by Dr. Zixiang Xiong at Texas A&M University aims to understand the fundamental limits of learned source coding, a machine learning-based data compression method. They hope to develop more powerful compression methods for efficient use of wireless communication and less energy consumption by mobile devices.
A smartphone intervention app reduced unhealthy alcohol use among university students, with a 10% decrease in weekly drinks and 11% fewer heavy drinking days. The app, available for both Apple and Android smartphones, was effective in promoting healthier drinking habits without requiring significant resources.
Researchers found that texting pedestrians are more likely to fall in response to walkway hazards. Young adults may be more prone to taking risks despite awareness of the danger, suggesting alternative interventions like phone-locking technology could be effective.