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Proceedings ArticleDOI
07 Oct 2012
48 Citations
The results indicated that these new gesture keyboards were valuable complements to unimanual gesture and regular typing keyboards.
These findings may influence keyboard standards and design of keyboards.
We argue that the shift function can improve existing keyboards at no costs.
The results indicated an initial decline in productivity when subjects began typing on two of the alternative keyboards, but these productivity losses were recovered within the two-day evaluation period.
Applications: These findings may influence keyboard standards and the design of keyboards.
We conclude that research on mobile keyboards benefits from observing free typing beyond the lab and discuss ideas for further studies.
Our findings are useful for developing flat keyboards with assistive information through sensory feedback.
Clear evidence of a health benefit of the split keyboards emerged in the late 1990s.
There is a need and an ability to design specialized keyboards for some situations.
In the absence of these randomized controlled trials, the information in this article provides preliminary guidance to clinicians in their evaluation of computer keyboards and workstations and their recommendations to patients.

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What is effect by cutting classes?
5 answers
Cutting classes has significant negative consequences on academic performance. Research shows that skipping classes harms exam scores, while attending preexam reviews and taking optional quizzes positively impact exam scores. Additionally, weight cutting in sports negatively affects reaction time but has mixed effects on power and accuracy in striking performance. On the other hand, reducing class sizes does not show statistically significant improvements in academic test scores or non-cognitive skills. Addressing class cutting in high schools is crucial, as it often stems from disengagement and alienation, leading to course failure and dropout rates. Schools can combat class cutting by understanding students' concerns, collaborating with them, and engaging in institutional self-scrutiny to create a more supportive environment.
What are the potential future developments and breakthroughs in edge computing for wearable devices?
5 answers
Future developments in edge computing for wearable devices include the utilization of neuromorphic processing for lightweight, energy-efficient systems with low-latency processing. This involves implementing spiking neural networks (SNNs) for gesture recognition using electromyography (EMG) sensors, enabling precise control and autonomy in wearable devices. Additionally, advancements in wearable AI technologies are driving the emergence of fabric-based multilayer SNN smart garments, allowing for scalable and interchangeable designs with event-driven artificial SNNs embedded in the fabric. These innovations pave the way for enhanced on-garment edge-driven AI capabilities, leveraging bioinspired methods to mimic human brain functions for higher performance processing in wearable devices. Such developments hold promise for revolutionizing wearable technology with efficient, brain-inspired computing systems.
What is corporate citizenship?
4 answers
Corporate citizenship refers to the societal role of businesses, where they are seen as political actors and are expected to contribute positively to the community. It involves engaging in activities that benefit society beyond just profit-making, such as community investment and social responsibility. Gender dynamics also play a role in shaping corporate citizenship, with feminist discourse influencing policies and laws related to corporate behavior. Different understandings of corporate citizenship exist, with some emphasizing community activities while others focus on integrating citizenship principles into core business practices. Overall, corporate citizenship encompasses the idea of businesses acting as responsible members of society, contributing to the common good and engaging in ethical practices.
Why is there a lot of board exam takers choose to enroll in a review center in Manila?
5 answers
Many board exam takers choose to enroll in review centers in Manila due to the perceived positive impact of attending these centers on passing rates. Research indicates that attendance to review courses handled by prestigious review schools is a positive factor in passing board examinations. Additionally, the quality of instruction in higher education institutions, including review centers, plays a crucial role in exam success. While state universities have shown improvement in professional board exam performance, concerns remain about the quality of instruction and passing rates. Moreover, a gamified application developed for Licensure Examination for Teachers (LET) review has shown promising results in engaging and motivating students, potentially enhancing their review experience and outcomes.
What is laborious in engineering?
4 answers
Laboriousness in engineering refers to the effort and intensity required in various engineering tasks. In the context of software development, laboriousness can be estimated based on functional points, allowing for early project size estimation. Engineering performance directly impacts project outcomes, with factors like project size, type, and modularization affecting labor productivity. Challenges in engineering education include the need for a multidisciplinary approach, knowledge of economics, sustainable solutions, and proficiency in information technologies and ethics. When designing construction production technology, the lack of tools for analyzing design solutions poses a challenge, especially in standardizing processes and determining labor cost norms effectively. Overall, laboriousness in engineering encompasses a range of factors from software development estimation to project productivity and educational requirements.
Are there methods of imaging mass cytometry detecting acid phosphatase activity, like TRAP staining for osteoclasts?
5 answers
Imaging Mass Cytometry (IMC) is a powerful tool for visualizing multiple protein targets simultaneously, making it valuable for studying acid phosphatase activity like TRAP staining in osteoclasts. TRAP, a marker for osteoclasts, can be detected using fluorescence-based methods, such as the ELF97 TRAP stain, which offers better resolution and additional information about osteoclasts when combined with other fluorescence-based techniques. Additionally, the classical TRAP assay is commonly used to identify osteoclast populations in vitro, providing a general protocol for inducing osteoclast differentiation from cell lines like RAW264.7. Therefore, IMC and fluorescence-based methods offer innovative ways to study acid phosphatase activity, particularly in the context of osteoclast biology.
Who is the author of the paper "A Survey on Generative Diffusion Models"?
5 answers
The paper "A Survey on Generative Diffusion Models" was authored by Adil Alrammahi, Hao-Li Zou, Zae Myung Kim, Dongyeop Kang, Hee-Il Koo, and To Eun Kim. Alrammahi's work focuses on structured data modelling via diffusion models, while Zou, Kim, and Kang delve into the application of diffusion models in natural language processing (NLP). Koo and Kim also contribute to the survey on generative diffusion models, emphasizing the importance of structured data in the field. Additionally, the survey on graph diffusion models, which is part of the broader discussion on generative diffusion models, is conducted by unspecified authors. Collectively, these authors have significantly contributed to the exploration and understanding of generative diffusion models across various domains.
How does reinforcement learning perform in set50 compared to other reinforcement learning algorithms?
4 answers
Reinforcement learning (RL) algorithms exhibit varying performances in different settings. In the context of set50, RL algorithms have shown promising results. For instance, in the study by Brida V. Mbuwir et al., fitted Q-iteration outperformed other RL algorithms, naive, and rule-based controls in terms of PV self-consumption and net electricity cost. Additionally, Majid Majidi et al. proposed a novel learning-based energy matching solution that significantly outperformed standard online matching heuristics, enhancing social welfare in dynamic matching markets. These findings highlight the effectiveness of RL algorithms in optimizing tasks such as energy management and control systems, showcasing their potential for improving efficiency and performance in various applications.
What is quantum beat ?
5 answers
Quantum beat refers to the coherent oscillation between different quantum states, often observed in various systems like excitons in quantum dots, radical pair systems in quantum biology, and excitonic wave-functions in Transition-metal dichalcogenides (TMDs). These oscillations result from the interference of quantum states, leading to periodic intensity variations in measurements. For instance, in the context of a single magnetic fluxon trapped in a SQUID, quantum beats arise from the fluxon's coherent tunneling between cells. Quantum beats play a crucial role in understanding the quantum dynamics of systems and have implications in fields like quantum biology, materials science, and quantum computing. Leveraging quantum computers can aid in simulating and studying these quantum phenomena more effectively, showcasing the potential of quantum technologies in advancing research areas like chemistry and music generation.
How is AI improving education system?
5 answers
Artificial Intelligence (AI) is enhancing the education system by improving efficiency and effectiveness through various methods. AI, particularly Machine Learning (ML), is utilized to predict student outcomes, personalize recommendations, accelerate learning processes, and enhance data management. The application of AI in education is seen as a significant development that can lead to substantial changes in governance within educational institutions, impacting teaching, learning, and decision-making processes ^[Text_4] ^[Text_5]. Research emphasizes the importance of AI in optimizing educational functions, with a focus on how AI, when combined with smart learning, can significantly enhance academic outcomes ^[Text_4] ^[Text_5]. Overall, AI's role in education is crucial for empowering individuals, improving the quality of education, and achieving Sustainable Development Goals.
How does the choice of LoRa transmission parameters affect the range and reliability of wireless communication?
4 answers
The choice of LoRa transmission parameters significantly impacts the range and reliability of wireless communication. LoRa devices offer adaptability through parameters like gain, spreading factor, and coding rate, crucial for varying distances and environmental conditions. LoRa's transmission parameters include Spreading Factor, Transmission Power, Bandwidth, and Coding Rate, with 12480 possible parameter sets in the latest LoRa-based System on Chip. Studies show that communication quality and distance are notably affected by emission power and air velocity, with a linear relationship between node power consumption and air rate. Additionally, a proposed lightweight transmission-parameter selection scheme using reinforcement learning for LoRaWAN effectively reduces collisions between devices, enhancing communication performance and reliability.