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Computer Science

“Smell Your Way to Better Memory: A Revolutionary Virtual Reality Game”

Aiming to address age-related cognitive decline, a growing global health challenge, a team of researchers has developed a VR-based smell-training system to help combat it. This innovative VR game activates memory pathways by incorporating olfactory stimulation in a virtual environment. This game-based method offers an engaging platform for maintaining cognitive function and reducing the risk of neurodegenerative diseases such as dementia in older adults.

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As the global population ages, supporting older adults in maintaining their cognitive and memory functions has become a pressing concern. The United Nations estimates that by the 2070s, there will be over 2.2 billion people aged 65 or older, surpassing the global number of children under 18.

One promising strategy to counter cognitive decline is through olfactory stimulation – engaging the sense of smell. Smell signals travel directly to brain regions involved in memory and emotion. Building on this knowledge, a joint research team from Institute of Science Tokyo (Science Tokyo), University of the Arts London, Bunkyo Gakuin University, and Hosei University, Japan, has developed the world’s first cognitive training method for older adults by combining olfactory stimulation with virtual reality (VR).

The study was published in Volume 15 of the journal Scientific Reports on March 28, 2025. According to Professor Takamichi Nakamoto from Science Tokyo, “VR provides a promising platform to simulate sensory conditions in a controlled yet engaging manner. By combining goal-oriented tasks with real-time feedback, our VR-based olfactory training approach can increase cognitive engagement and maximize its therapeutic impact.”

The method involves an olfactory display that emits specific scents during immersive VR gameplay, activating memory- and emotion-related brain regions. In the activity, participants are asked to memorize and later match scents within a virtual environment.

The experience begins in a virtual landscape where participants interact with a scent source represented by a stone statue using a VR controller. When touched, the statue releases a specific scent, accompanied by a white vapor cloud as a visual cue to reinforce memory.

Participants then explore the virtual landscape to locate a scent source, guided by subtle traces of the scent emitted by the olfactory display. Upon reaching the odor source, shown as a stone lantern, they encounter three colored vapor clouds, each emitting a different scent. Their task is to compare the smells and identify the one that matches the original scent they memorized.

“The smell memory phase strengthens odor recognition and memory encoding by linking the olfactory stimulus with a visual cue,” explains Nakamoto. “The navigation phase challenges players to integrate spatial navigation with odor recognition while retaining memory of the initial scent. The final odor comparison phase engages olfactory discrimination and working memory retrieval, reinforcing cognitive function.”

The activity led to noticeable cognitive improvements in 30 older adults aged 63 to 90. After just 20 minutes of playing the VR game, participants showed improvements in visuospatial rotation and memory. These improvements were validated through statistical analysis.

With continued research and development toward more affordable olfactory displays or alternate scent delivery methods, olfactory-based VR activities could become an accessible and engaging tool for supporting mental health in older adults.

Artificial Intelligence

“Revolutionizing Hospital Disinfection: Autonomous Robots for Efficient Sanitation”

A research team develops disinfection robot combining physical wiping and UV-C sterilization.

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The COVID-19 pandemic has brought to the forefront the critical importance of thorough disinfection, particularly within hospital environments. However, traditional manual disinfection methods have inherent limitations, including labor shortages due to physical fatigue and risk of exposure to pathogens, inconsistent human performance, and difficulty in reaching obscured or hard-to-reach areas.

To address these challenges, a team of researchers from Pohang University of Science and Technology (POSTECH) has developed an “Intelligent Autonomous Wiping and UV-C Disinfection Robot” that can automate hospital disinfection processes. This innovative robot is capable of navigating through hospital environments and performing disinfection tasks with precision and consistency.

The key feature of this robot is its dual disinfection system, which combines physical wiping and UV-C irradiation to effectively remove contaminants from surfaces. The robotic manipulator uses a wiping mechanism to physically clean high-touch areas, while the UV-C light ensures thorough disinfection of hard-to-reach corners and narrow spaces.

Real-world testing at Pohang St. Mary’s Hospital validated the robot’s performance, with bacterial culture experiments confirming its effectiveness in disinfecting surfaces. Repeated autonomous operations were carried out to verify its long-term usability in clinical settings.

The significance of this technology lies in its ability to automate time-consuming and repetitive disinfection tasks, allowing healthcare professionals to devote more attention to patient care. Additionally, the robot’s precision control algorithms minimize operational failures, while its integration with a self-sanitizing station and wireless charging system ensures sustained disinfection operations.

Professor Keehoon Kim emphasized that despite COVID-19 transitioning into an endemic phase, it remains essential to prepare for future pandemics by advancing this disinfection robot technology beyond hospitals to public facilities, social infrastructures, and everyday environments to further reduce infection risks. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT).

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Computer Science

Revolutionizing Next-Generation Displays with Vapor-Deposited Perovskite Semiconductors

A research team has developed a groundbreaking technology poised to revolutionize next-generation displays and electronic devices.

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The world of electronics is set to undergo a significant transformation thanks to a groundbreaking technology developed by a research team led by Professor Yong-Young Noh and Dr. Youjin Reo from POSTECH (Pohang University of Science and Technology). In collaboration with Professors Ao Liu and Huihui Zhu from the University of Electronic Science and Technology of China, the team has successfully created a novel p-type semiconducting material that promises to revolutionize next-generation displays and electronic devices.

Transistors, the microscopic components that regulate electric currents in smartphones and other devices, have traditionally been categorized as n-type (electron transport) or p-type (hole transport). While n-type transistors generally demonstrate superior performance, achieving high-speed computing with low power consumption requires comparable efficiency from p-type transistors. To address this challenge, the research team focused on developing a novel p-type semiconducting material.

Tin-based perovskites have emerged as a promising candidate for high-performance p-type transistors. However, traditional solution processes used to fabricate these materials present challenges in scalability and consistent quality. In a significant breakthrough, the team successfully applied thermal evaporation, a process widely used in industries such as OLED TV and semiconducting chip manufacturing, to produce high-quality caesium-tin-iodide (CsSnI3) semiconductor layers.

By adding a small amount of lead chloride (PbCl2), the researchers were able to improve the uniformity and crystallinity of the perovskite thin films. The resulting transistors exhibited outstanding performance, achieving a hole mobility of over 30 cm2/V·s and an on/off current ratio of 108, comparable to commercialized n-type oxide semiconductors.

This innovation not only enhances device stability but also enables the fabrication of large-area device arrays, effectively overcoming two major limitations of previous solution-based methods. Importantly, the technology is compatible with existing manufacturing equipment used in OLED display production, presenting significant potential to reduce costs and streamline fabrication processes.

“This technology opens up exciting possibilities for the commercialization of ultra-thin, flexible, and high-resolution displays in smartphones, TVs, vertically stacked integrated circuits, and even wearable electronics because low processing temperature below 300°C,” said Professor Yong-Young Noh.

This research was supported by the National Research Foundation of Korea (NRF) under the Mid-Career Researcher Program, the National Semiconductor Laboratory Core Technology Development Project, and Samsung Display.

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Artificial Intelligence

The Power of Robot Design: How Service Robots’ Gender Characteristics Influence Customer Decisions

While service robots with male characteristics can be more persuasive when interacting with some women who have a low sense of decision-making power, ‘cute’ design features — such as big eyes and raised cheeks — affect both men and women similarly, according to new research.

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The hospitality industry is taking a cue from new research in the Penn State School of Hospitality Management, which suggests that service robots can be designed to influence customers’ decisions based on their gender characteristics. The study found that service robots with characteristics typically associated with males may be more persuasive when interacting with women who have a low sense of power.

Led by researchers Lavi Peng, Anna Mattila, and Amit Sharma, the team conducted two studies to explore how the gender portrayed in service robots can affect customers’ decisions. In the first study, participants were asked to imagine visiting a new restaurant and receiving a menu recommendation from a service robot. The results showed that women with a low sense of power were more likely to accept recommendations from male robots.

“For men with a low sense of power, we found the difference was less obvious,” said Peng. “Based on our findings, consumers with high power tend to make their own judgment without relying on societal expectations.”

The researchers suggested that businesses could leverage these findings by using male robots to recommend new menu items or persuade customers to upgrade their rooms.

To mitigate gender stereotypes in robot design, the team conducted a second study and found that “cute” features, such as big eyes and raised cheeks, can reduce the effect of portrayed robot gender on persuasiveness. Both male and female customers responded similarly to robots with these features, suggesting that businesses could consider using cute designs to mitigate gender stereotypes.

The Marriott Foundation supported this research, highlighting the importance of understanding how service robots can influence customer decisions in the hospitality industry.

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