Researchers developed the Motion Style Slider framework for continuous control of motion style intensity in generated human animation. The framework achieves consistent style control and smooth transitions using only two motion samples, allowing animators to refine character performances according to their creative vision.
University of Tennessee researchers are part of a nearly $1 million project to build a smart food production network, optimizing locally grown food distribution. The project, called DFARM, employs a user-centered software platform to connect community gardens, indoor hydroponic systems, and local food hubs.
A proof-of-concept study tested three techniques for alerting users to hallucinated statements from embodied AI agents in VR systems. The findings suggest that embodied cues improve immersion, text cues offer clear interpretability, and icon cues strike a middle ground.
Researchers developed a self-powered, flexible neuromorphic sensing platform that mimics human tactile perception, demonstrating hierarchical memory processes and spike-rate-dependent plasticity. The device operates entirely without an external power source, converting mechanical stimuli into electrical signals.
Researchers developed a multi-level dynamic integrated perception network to address temporal variability in cross-time EEG emotion recognition. The model achieves high accuracy and selectively calibrates temporal variability to preserve stable emotional signals.
Researchers have developed a computational framework to design and fabricate crisscross DNA megastructures, expanding accessibility to DNA nanotechnology. This breakthrough enables the construction of complex structures with precise control, opening up new avenues for applications in fields like optics, immunology, and tissue engineering.
Researchers developed a low-cost touch interface that recognizes finger movements and users, using a single-electrode design and triboelectric effects. The interface can be created by printing patterns onto a PVC sheet with a laser printer and can recognize complex inputs, including alphabet characters and user authentication.
Research from the University of Birmingham and other institutions found that interacting with AI-powered customer service robots can reinforce or alter a consumer's self-perception. The study explores how mirroring and mimicry can lead to a 'robotoid humanness' where consumers become more like robots, raising ethical concerns.
Researchers developed a wearable optoelectronic clip that turns exhaled breath into a clear optical switching signal, enabling touch-free interaction and respiratory health monitoring. The device showed high accuracy in multi-user tests, suggesting its potential for practical applications.
A Swansea University PhD researcher has received funding to attend the Psychonomic Society Annual Meeting to share her findings on how neurodivergent people process visual symbols. Her research reveals that neurodivergent participants respond more quickly and accurately to these symbols, highlighting important differences in cognitive ...
Researchers developed a method to modify vehicle sounds using auditory augmented reality, which can draw pedestrian attention without loud warnings. By artificially increasing the frequency of approaching vehicle sounds, participants judged the vehicle as moving faster and closer.
Researchers found that brain-computer interface training improved the perception of smaller visuo-motor errors, whereas traditional behavioral training only enhanced detection for larger rotations. The training also showed contributions from brain regions controlling decision-making and visuospatial processing.
A study from Technical University of Munich found that people perceive AI hiring decisions as unfair when the avatar resembles them in terms of gender or skin color. After receiving a rejection, trust in AI is shaken if the avatar's appearance differs from their own.
A team of engineers developed a soft, shape-shifting mechanical surface that responds to touch, senses its movements, and visually communicates changes in real time. The platform combines magnetic actuation, embedded sensing, and LED-based visual feedback into a single programmable system.
A robotic pet rabbit named Mía has been developed to recognize users by their voice, allowing for personalized affective stimulation in elderly care. The system uses a unique 'voice signature' that adapts to each user's speech patterns, enabling the robot to respond differently to various individuals.
A POSTECH research team developed a haptic device that can operate inside MRI scanners, enabling the measurement of brain activity during VR experiences. The study found that adding tactile feedback increased brain activation in areas responsible for motor control, attention, and cognitive processing.
A Harvard-led study developed BRIDGE, a simulation technology that reinterprets traditional non-disabled basketball footage into realistic wheelchair basketball video representations. The system significantly improved how natural player postures appeared and made tactical intentions easier to understand.
A new human-computer interaction method, RemoteCollabEval (RCE), has been developed to identify barriers to collaboration and inclusivity in remote collaboration software. RCE uses personas to simulate interpersonal friction and uncover 'inclusivity bugs' that may go unnoticed during standard testing.
Researchers identified three main patterns of AI addiction: role-playing and fantasy worlds, emotional attachment to chatbots as close friends or partners, and constant information-seeking. These patterns led to disruptions in daily life, including anxiety, stress, and negative impacts on work, studies, and relationships.
A recent study explores how response timing affects people's use and evaluation of AI systems, challenging the assumption that faster is always better. Participants rated slower responses as more thoughtful and useful, highlighting a subtle but powerful feature of human psychology.
A new database, led by Harvard computer scientist Salil Vadhan, enables companies to adopt differential privacy framework, providing real-world applications for protected data. The Differential Privacy Deployments Registry aims to promote widespread adoption and refinement of the technology.
Dr Amy Shirong Lu joins JMIR Serious Games as Editor-in-Chief with extensive research on digital health technologies and their impact on physical activity and cognitive health.
Researchers developed a wearable scent display that can blend up to eight fragrances in real time, enhancing immersive virtual experiences. The device uses advanced components to precisely control odor intensity and delivery.
Researchers have developed a reconfigurable textile interface that supports flat touch, folded 3D manipulation, and shape-change commands. The 'one cloth, many states' framework reduces the need to swap props and recalibrate alignment, making it promising for constrained-space operation training and human-machine interaction scenarios.
Researchers at Tohoku University developed a method to transform regular surfaces into keyboards for AR/MR technology, using the blanching phenomenon to detect fingertip contact. The system requires no special sensors or devices and allows users to rest their fingers on the surface during operation, promoting comfortable interaction.
Researchers at MIT have developed an ultrasound wristband that precisely tracks hand movements, allowing users to control a robotic hand or manipulate virtual objects. The device produces high-quality images of the wrist's muscles and tendons, which are then translated into specific hand positions, enabling precise movement control.
A seven-month study from Aalto University found that frequent micro checks and bursts of messaging are most strongly linked to feeling overwhelmed. The study's findings suggest that task-switching and constant checking contribute to digital overwhelm, rather than the total time spent on devices.
Recent scientific review highlights Ga-LMs' natural fluidity, high electrical conductivity, and biocompatibility, making them suitable for wearable health monitoring systems, soft robots, and implantable medical devices. Advanced patterning techniques enable precise fabrication of Ga-LM-based circuits for high-performance HMIs.
Researchers developed a predictive model called Programmer Flow by Information Scent for teams (PFIS-T) that incorporates both teammates' activity and communication to predict a user's next action. The model achieved an accuracy of 81.5% in predicting team navigations, improving accuracy by up to 16.7% over previous models.
A new app developed by Iowa State University researchers and global partners aims to provide farmers with instant identification and practical advice on how to manage pest, weed, and disease issues effectively. The app's artificial intelligence system will be trained on millions of images and data points to make accurate identifications.
A new study found that augmented reality job coaching significantly improves job performance for individuals with intellectual and developmental disabilities. The AR-based application delivered real-time guidance, enabling participants to complete complex tasks with minimal external support. This innovative approach has the potential t...
A recent study from the University of Technology Sydney found that users who set moderately challenging weekly targets were more likely to remain active and engaged with their apps. This suggests that smarter goal-setting, rather than more goal-setting, may be key to sustained digital engagement.
A new study found that families prioritize VR features increasing physical activity over educational content, highlighting the need for research-based information on VR's impact on children. Families also emphasize the importance of safety controls to detect bullying or harassment on VR platforms.
A new study by the University of Cambridge found that many AI bots lack basic safety disclosures, including transparency about their abilities and potential risks. The 'AI Agent Index' revealed a significant transparency gap, with only four out of thirty agents publishing formal safety and evaluation documents.
Researchers say tech companies need to adopt user-centered approaches to create authentication systems that are secure by design. They call for more inclusive and consistent methods, avoiding one-size-fits-all models that burden users with complex security rules.
Researchers introduce a universal, nondestructive direct photolithography method for QD patterning, enabling precise control over fragile surface chemistry. The study demonstrates high-resolution patterns exceeding 10,000 pixels per inch and boosts device efficiency.
A new virtual reality (VR) program, VRmivora, enables students to explore bird fieldwork experiences, filling a gap in science outreach and communication. The program allows users to interact with birds, analyze genetic samples, and learn about evolution through genetics.
A11yShape, an AI-assisted tool, enables visually impaired computer programmers to create, edit and verify complex 3D models without assistance. The tool uses GPT-4o to provide detailed descriptions of the model for blind and low-vision programmers.
The team created a specialized two-dimensional thin film dielectric designed to replace traditional heat-generating components in integrated circuit chips. This breakthrough aims to reduce the significant energy cost and heat produced by high-performance computing necessary for AI.
Researchers investigate how people with disabilities feel when their avatars depict them the way they see themselves. Most participants reported positive feedback when their avatar reflected their disability, and many felt comfortable expressing their identity in virtual reality.
Researchers at the University of Texas at Dallas have developed PropType, a unique interface that transforms everyday objects into typing surfaces within an AR environment. This technology leverages tactile feedback to reduce reliance on visual cues and provides an alternative to traditional keyboards.
Researchers designed a self-powered, compact tactile interface using an MXene/Bi 2D heterojunction. The device combines sensing, encoding, and low-power readout, achieving high sensitivity, fast response, and durability.
The University of Houston is designing robotic hands with dexterity for industries such as healthcare, agriculture, and manufacturing. The team, part of the NSF Convergence Accelerator program, has received $5 million in funding to develop hybrid polymeric materials that can mechanically retract and perform motions like flexion.
Duke engineers built an AI optical microscope that can analyze 2D materials with up to 99.4% accuracy, identifying layer regions and subtle defects. The system, ATOMIC, leverages publicly available AI foundation models to speed up the process, requiring no specialized training data.
The Association for Computing Machinery's global Technology Policy Council recommends six key pillars for successful government digital transformation, emphasizing reliability, security, and accessibility. The report aims to inform policymakers on how to modernize responsibly and sustainably.
A recent study by the University of Michigan highlights the issue of limited language accessibility in patient portals, which can prevent vulnerable patients from accessing vital healthcare services. The study found that 29% of hospitals only offer access to their patient portal in English, and fewer than 5% offer it in the most common...
Researchers developed HandProxy, a software that allows users to interact with virtual spaces by commanding a disembodied hand. The AI-powered hand can perform complex tasks without being explicitly told every step, making it more flexible than current VR voice-command features.
A team of researchers at the University of Bath has developed a new technology called HydroHaptics that allows users to interact with soft objects in a meaningful way. The system uses a deformable surface to provide tactile feedback, enabling applications such as wearable tech, gaming, and medical simulation.
Researchers developed picoRing, an ultralow-power, ring-based wireless mouse that controls AR glasses for over a month on a single charge. The device uses semi-passive inductive telemetry to amplify magnetic fields, providing a power boost without active signal amplification.
A study by Israeli researchers found that people apply mechanisms of forgiveness towards technology, similar to human relationships. Participants described their experiences with technological malfunctions in emotional terms, describing paths to forgiveness such as cost-benefit calculation, placing responsibility on humans, and accepti...
Researchers at UBC have developed a new NFC-based gesture system that can distinguish between nine distinct gestures with high accuracy. This technology has the potential to improve accessibility for users with mobility issues and reduce the spread of germs through touchpads.
A new study uses three wearable sensors to track eating behavior and identifies five distinct patterns, including late-night snacking and stress binging. The findings lay the groundwork for personalized interventions to help individuals overcome unconscious habits that drive overeating.
Researchers at UCLA have developed a wearable noninvasive brain-computer interface system that utilizes AI to interpret user intent, allowing participants to complete tasks significantly faster with assistance. The system demonstrates promising results for technology to assist individuals with limited physical capabilities.
The study reveals data visualization primarily facilitates decision-making at the organizational and community levels, particularly for semi-structured problems. Recent trends indicate increasing support for broader types of decision-making, including individual-level and unstructured problems.
Computer scientists at Princeton University are working on a system that pairs virtual reality with a physical robot, allowing users to seamlessly interact with the physical world. The technology enables tasks like selecting an object across the room or erasing physical objects from view, creating a more immersive experience.
A flexible electronic solution has been developed to detect corneal deformation and eyelid pressure, enabling precise control of drones through blinking. The system achieves high accuracy in distinguishing conscious from unconscious blinks, with potential applications in medical monitoring and human-machine control.
A new study suggests that adopting AI in high-stakes settings like hospitals and airplanes requires evaluating algorithms and human decision-making simultaneously. The study found that accurate AI predictions improved participant performance by 50-60%, but inaccurate predictions led to a 100% degradation in proper decision making.
A research team at Vienna University of Technology has discovered a previously undiscovered Android security vulnerability that allows fraudulent apps to take control of mobile phones. Users may be tricked into performing unwanted actions, such as granting certain rights or deleting data.
Cassie, a digital-human assistant developed by Texas A&M University, is transforming the way patients interact with healthcare providers. With facial recognition and emotional intelligence, Cassie offers a two-way interaction that feels like a conversation.
The Digits framework uses compressed air to produce shape changes, vibrations, and haptic feedback, offering a versatile platform for virtual reality and physical therapy. The device's modular design and pneumatic actuation enable adaptable and scalable control methods.