Computer Keyboard Research Articles

Dr. Elihu H. Estey (1946–2021)

Dr. Elihu H. Estey (1946–2021)

Investigating Different Levels of Bimanual Interaction With a Novel Motor Learning Task: A Behavioural and Transcranial Alternating Current Stimulation Study.

Many tasks require the skilled interaction of both hands, such as eating with knife and fork or keyboard typing. However, our understanding of the behavioural and neurophysiological mechanisms underpinning bimanual motor learning is still sparse. Here, we aimed to address this by first characterising learning-related changes of different levels of bimanual interaction and second investigating how beta tACS modulates these learning-related changes. To explore early bimanual motor learning, we designed a novel bimanual motor learning task. In the task, a force grip device held in each hand (controlling x- and y-axis separately) was used to move a cursor along a path of streets at different angles (0°, 22.5°, 45°, 67.5°, and 90°). Each street corresponded to specific force ratios between hands, which resulted in different levels of hand interaction, i.e., unimanual (Uni, i.e., 0°, 90°), bimanual with equal force (Bieq, 45°), and bimanual with unequal force (Biuneq 22.5°, 67.5°). In experiment 1, 40 healthy participants performed the task for 45 min with a minimum of 100 trials. We found that the novel task induced improvements in movement time and error, with no trade-off between movement time and error, and with distinct patterns for the three levels of bimanual interaction. In experiment 2, we performed a between-subjects, double-blind study in 54 healthy participants to explore the effect of phase synchrony between both sensorimotor cortices using tACS at the individual’s beta peak frequency. The individual’s beta peak frequency was quantified using electroencephalography. 20 min of 2 mA peak-to-peak amplitude tACS was applied during task performance (40 min). Participants either received in-phase (0° phase shift), out-of-phase (90° phase shift), or sham (3 s of stimulation) tACS. We replicated the behavioural results of experiment 1, however, beta tACS did not modulate motor learning. Overall, the novel bimanual motor task allows to characterise bimanual motor learning with different levels of bimanual interaction. This should pave the way for future neuroimaging studies to further investigate the underlying mechanism of bimanual motor learning.

Complex Interaction as Emergent Behaviour: Simulating Mid-Air Virtual Keyboard Typing using Reinforcement Learning.

Accurately modelling user behaviour has the potential to significantly improve the quality of human-computer interaction. Traditionally, these models are carefully hand-crafted to approximate specific aspects of well-documented user behaviour. This limits their availability in virtual and augmented reality where user behaviour is often not yet well understood. Recent efforts have demonstrated that reinforcement learning can approximate human behaviour during simple goal-oriented reaching tasks. We build on these efforts and demonstrate that reinforcement learning can also approximate user behaviour in a complex mid-air interaction task: typing on a virtual keyboard. We present the first reinforcement learning-based user model for mid-air and surface-aligned typing on a virtual keyboard. Our model is shown to replicate high-level human typing behaviour. We demonstrate that this approach may be used to augment or replace human testing during the validation and development of virtual keyboards.

DSS for Keyboard Mechanical Selection Using AHP and Profile Matching Method

Mechanical keyboards are designed with various shapes, variations, and specifications that are different from other types of keyboards. The mechanical keyboard itself has an aesthetic function that allows users to customize it. There are various specifications on mechanical keyboards, causing various considerations, which can make it difficult for users to choose a mechanical keyboard that fits the desired criteria. Supported by observations in the Indonesia Mechanical Keyboard Group (IMKG), some users are still limited in their knowledge of mechanical keyboard products available in Indonesia, also, currently there is no solution that can handle this problem.Based on these problems, in this research, an DSS is built that can help overcome these problems, by providing recommendations for a mechanical keyboard according to the wishes of the user. DSS is implemented in web form using the AHP method for the weighting process and Profile Matching for the scoring process. The criteria used are determined by conducting a survey regarding the specifications that are the priority considerations in choosing a mechanical keyboard.At the end of the study, the DSS that was successfully built was able to provide mechanical keyboard priority recommendations according to user preferences and get an average evaluation result of 36.17 out of a total maximum value of 40.

Direct reuse of electronic plastic scraps from computer monitor and keyboard to direct stem cell growth and differentiation

Reuse of electronic wastes is a critical aspect for a more sustainable circular economy as it provides the simplest and most direct route to extend the lifespan of non-renewable resources. Herein, the distinctive surface and micro topographical features of computer electronic-plastic (E-plastic) scraps were unconventionally repurposed as a substrate material to guide the growth and differentiation of human adipose-derived mesenchymal stem cells (ADSCs). Specifically, the E-plastics were scavenged from discarded computer components such as light diffuser plate (polyacrylates), prismatic sheet (polyethylene terephthalate), and keyboards (acrylonitrile butadiene styrene) were cleaned, sterilized, and systematically characterized to determine the identity of the plastics, chemical constituents, surface features, and leaching characteristics. Multiparametric analysis revealed that all the E-plastics could preserve stem-cell phenotype and maintain cell growth over 2 weeks, rivalling the performance of commercial tissue-culture treated plates as cell culture plastics. Interestingly, compared to commercial tissue-culture treated plastics and in a competitive adipogenic and osteogenic differentiation environment, ADSCs cultured on the keyboard and light diffuser plastics favoured bone cells formation while the grating-like microstructures of the prismatic sheet promoted fat cells differentiation via the process of contact guidance. Our findings point to the real possibility of utilizing discarded computer plastics as a “waste-to-resource” material to programme stem cell fate without further processing nor biochemical modification, thus providing an innovative second-life option for E-plastics from personal computers.

Web-based text editing system for Nigerian major languages


 
 
 This study developed a web-based text editor to eliminate the incompatibility of computer keyboard with the three major indigenous languages in Nigeria. It also aims to reduce the time taken to produce characters with diacritical marks. The editors produced valid Unicode characters and require pressing less buttons to generating all the symbols of the alphabets for the three major indigenous languages in Nigeria. Client-side technologies were used to develop these applications. Three web pages, designated for Yorùbá, Igbo and Hausa language were generated with HTML. CSS was used to define the look and feel of the HTML elements on each page. Regular Expressions implemented in JavaScript functions were used to convert selected ASCII characters into desired Unicode characters. The editors are available at http://www.gazaliwakil.com.ng. The editors work well on latest version of browsers like (Google Chrome, Mozilla Firefox, Opera, and Internet Explorer). They are very light, consume minimal server resources and can work offline. The system was launched Fifty-one (51) times to extract data comprising the Loading, Scripting, Rendering, Painting, System, and Idle time. The obtained result showed that on the average, it takes about 13.77ms to load the HTML DOM elements, 42.83ms to load the javaScript, 13.10ms and 1.73ms for rendering and painting the page by CSS. Additional time taken are 43.91ms and 3,045.10ms for the system and idle time respectively. A total time of 3,160.43ms (3.16s) is required when any of the editors is launched before the page can accept inputs from the users. It also takes the editors 2.66ms to add diacritical marks on a letter. This would, in effect, not reduce the typing speed of users.
 
 

Predicting Age Group and Gender of Smartphone Users Using Keystroke Biometrics

This paper investigated the impact of various keystroke dynamics features on a predictive biometric system. In this paper, keystroke dynamics data of 50 individuals have been acquired using an open-source data software application on an Android smartphone. A total number of 21 commonly used keystroke dynamics features were extracted from the raw data. The collected data was used in training a Random Forest algorithm using four different training sample sizes while the remaining portion of the data was used for classification. The algorithm was then used to determine the importance of 21 different keystroke dynamics features. The results showed that each features offers varying degree of importance in age-group and gender predictions. While such efforts have been made in the area of predictive keystroke dynamics using computer keyboards, literature on the same topic using touchscreen smartphone virtual keyboards have been limited.

Naturalistic smartphone keyboard typing reflects processing speed and executive function.

ObjectiveThe increase in smartphone usage has enabled the possibility of more accessible ways to conduct neuropsychological evaluations. The objective of this study was to determine the feasibility of using smartphone typing dynamics with mood scores to supplement cognitive assessment through trail making tests.MethodsUsing a custom‐built keyboard, naturalistic keypress dynamics were unobtrusively recorded in individuals with bipolar disorder (n = 11) and nonbipolar controls (n = 8) on an Android smartphone. Keypresses were matched to digital trail making tests part B (dTMT‐B) administered daily in two periods and weekly mood assessments. Following comparison of dTMT‐Bs to the pencil‐and‐paper equivalent, longitudinal mixed‐effects models were used to analyze daily dTMT‐B performance as a function of typing and mood.ResultsComparison of the first dTMT‐B to paper TMT‐B showed adequate reliability (intraclass correlations = 0.74). In our model, we observed that participants who typed slower took longer to complete dTMT‐B (b = 0.189, p < .001). This trend was also seen in individual fluctuations in typing speed and dTMT‐B performance (b = 0.032, p = .004). Moreover, participants who were more depressed completed the dTMT‐B slower than less depressed participants (b = 0.189, p < .001). A practice effect was observed for the dTMT‐Bs.ConclusionTyping speed in combination with depression scores has the potential to infer aspects of cognition (visual attention, processing speed, and task switching) in people's natural environment to complement formal in‐person neuropsychological assessments that commonly include the trail making test.

High-performance keyboard typing motion driven hybrid nanogenerator

Keyboard is the most common input device in computer and human-machine interface devices. Each keystroke during keyboard typing provides a huge amount of biomechanical energy that can be converted into useful electrical energy. Herein, we propose a high-performance electromagnetic-triboelectric hybrid nanogenerator for harvesting biomechanical energy from keyboard typing motion (KTMEH). Combining the effects of electromagnetic induction and triboelectric contact electrification, the KTMEH can simultaneously scavenge mechanical energy from keystroke motion and deliver a maximum power of 7.04 mW from electromagnetic and 1.8 mW from the triboelectric unit, from a single Typewriter key. The output performances were analyzed for different typing speeds, typing force, and key shapes. For an average typing speed of 4 characters per second (CPS), the KTMEH can scavenge a power of 5.6 mW and 1.5 mW from the electromagnetic and triboelectric unit, respectively. This hybrid configuration and highly miniaturized design enable versatile energy harvesting capability from existing commercial keyboards along with facile installation and durability. From the experimental results, it was found that the harvesting typing motion energy is capable to charge the capacitor and drive commercial electronic loads such as a hygrometer. This work expresses notable advantages of hybrid nanogenerators to develop next-generation self-powered keyboards, self-powered keystroke dynamics monitoring and sensing systems, and security systems with biometric authentication. • A high-performance keyboard typing motion-driven hybrid nanogenerator is presented. • Contact-separation of nano-wires and nanowires improves triboelectric performance by six times. • A single key can deliver a maximum power of 7.04 mW from a single keystroke. • Output performance was analyzed for different typing speeds, typing force, and key shapes. • The proposed hybrid nanogenerator can be easily installed on commercial keyboards.

Using handheld user interface and direct manipulation for architectural modeling in immersive virtual reality: An exploratory study

AbstractThis study comparatively investigates the affordances and constraints of two modeling methods for three‐dimensional modeling in immersive virtual reality (IVR): handheld user interface (HUI) and direct manipulation modeling (DM). The experimental study was conducted with 20 graduate students and two domain experts. Data were collected with screen capture videos of the modeling screen and video recordings of the users' gestures during the modeling session. To triangulate the findings for better reliability, an open‐ended questionnaire was administered just after the modeling session to collect written data about the modeling experience and the investigated modeling methods. Collected data were analyzed by qualitative coding methods. Analyses focused on affordances and constraints of modeling techniques, user preferences about virtual environments, effects of instant scale feature during modeling, locomotion techniques in IVR, ergonomics of the hardware related to modeling tasks, and usability of modeling interfaces in IVR. The results showed that DM modeling could be supported by (i) numeric input via a novel type of keyboard, (ii) a convenient HUI's menu interface with menu hierarchy wherever needed, and (iii) better locomotion techniques. This study generated suggestions for ensuring that efficient modeling applications for design studios, computer aided design courses, and professional practices in IVR can be implemented by investigating affordances and constraints.

Hygienic Assessment of Digital Writing: A Bio-Cybernetic Approach. Report I

Background: Introduction of digital technologies into the educational process involves the widespread use of keyboard typing and spending less time handwriting. At the same time, studies in the field of physiology and hygiene of handwriting show its importance for the development and formation of brain functions in children in the learning process. Potential risks for child development associated with regular typing and rare handwriting require proper hygienic assessment of the former. Yet, the lack of a scientifically based methodological approach is a strong limitation for such studies. Objective: To develop a methodological approach and conduct a pilot study on hygienic assessment of digital writing based on a bio-cybernetic analysis of the bioelectrical activity of the brain. Materials and methods: To arrange and conduct the research, we developed an algorithm based on a comparative analysis of the bioelectrical activity of the brain during typing and handwriting. Scalp electrodes were applied according to the International 10–20 system. EEG registration was carried out using a Neuro-KM computer-aided electroencephalograph by Statokin, Russia, with a Brainsys software for spectral-coherent and statistical analysis of EEG. The software allowed us to estimate the topography of the absolute power of the alpha rhythm in a resting state, during handwriting and typing, and the intrahemispheric and interhemispheric coherence of the alpha rhythm. Results: We established that the power of vibrations in the alpha range during digital and handwriting decreased compared to the resting state. Such a decrease reflecting activation of the cortex was noted in a more extensive area during handwriting. Typing decreased alpha waves only in the motor and sensorimotor areas of the brain. Compared to the resting state, handwriting significantly increased interaction between all areas of the cortex inside both hemispheres while typing did that in one hemisphere only. Conclusion: Our findings indicate that handwriting is provided by a more complex system of activation and interaction of areas of the cerebral cortex than typing. The developed algorithm can be used for further research on digital writing.

THE HEGEMONY OF KEYBOARD DEFAULTS

No single tool is more fundamental to writing—and more unexamined—than the computer keyboard. Most of us in the West never consider that the standard QWERTY key layout, i.e. the staggered key design and the selection of keys available, is anything but the received, traditional means of text input. And as such, keyboard/device manufacturers wield a unique form of power: they dictate the kind of words we can create. They further decide, however unconsciously, the motions our fingers take when we write; the staggered layout was necessary for the proper functioning of mechanical typewriters, but has no necessity for computers (let alone mobile devices), yet continues to be replicated, despite the fact that it is responsible for repetitive stress injuries that could be eliminated or reduced with an improved ergonomic design. QWERTY may even shape the meaning of words that we type. Furthermore, considering the global reach of QWERTY against the backdrop of language diversity, and particularly the approximately 300 non-Latin scripts in existence, the hegemony of default QWERTY keyboards hints at the ongoing impacts of the colonial legacy within digital technologies. Thus, to make computing, and the Internet, more equitable and humane, we must reimagine our keyboard layouts, the characters they include, and our modes of human-computer interaction. Our paper presents this case, employing data analyses of hardware and software keyboard usage statistics.

Effect of Computer Keyboard Slope on Upper Limb Postures at Sitting and Standing ComputerWorkstations : A Pilot Study

A user’s posture at a computer workstation, especially wrist posture, is determined by the keyboard angle. Most commercially available computer keyboards have a built-in positive slope that requires the user to extend their wrist approximately 20° when typing. The purpose of this study is to find the negative keyboard angles that minimize wrist extension for both sitting and standing workstations. In this study, we compared upper limb working postures, including those of the wrist, elbow and shoulder, at 5 different keyboard angles between −16° and +6° in sitting and standing postures. Based on our results, we can conclude that the optimal range of keyboard slope is from −4° to −12° in sitting posture and −8° to −12° in the standing posture in terms of minimum wrist extension, typing performance, and user preference. We also propose a universal keyboard support design as an attachment to currently available keyboards.

MmWrite: Passive Handwriting Tracking Using a Single Millimeter-Wave Radio

In the era of pervasively connected and sensed Internet of Things, many of our interactions with machines have been shifted from conventional computer keyboards and mouses to hand gestures and writing in the air. While gesture recognition and handwriting recognition have been well studied, many new methods are being investigated to enable pervasive handwriting tracking. Most of the existing handwriting tracking systems either require cameras and handheld sensors or involve dedicated hardware restricting user convenience and the scale of usage. In this article, we present mmWrite, the first high-precision passive handwriting tracking system using a single commodity millimeter-wave (mmWave) radio. Leveraging the short wavelength and large bandwidth of 60-GHz signals and the radar-like capabilities enabled by the large phased array, mmWrite transforms any flat region into an interactive writing surface that supports handwriting tracking at millimeter accuracy. MmWrite employs an end-to-end pipeline of signal processing to enhance the range and spatial resolution limited by the hardware, boost the coverage, and suppress interference from backgrounds and irrelevant objects. We implement and evaluate mmWrite on a commodity 60-GHz device. The experimental results show that mmWrite can track a finger/pen with a median error of 2.8 mm and thus can reproduce handwritten characters as small as 1 cm × 1 cm, with a coverage of up to 8 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> supported. With minimal infrastructure needed, mmWrite promises ubiquitous handwriting tracking for new applications in the field of human-computer interactions.

Modelling typing disfluencies as finite mixture process

To writing anything on a keyboard at all requires us to know first what to type, then to activate motor programmes for finger movements, and execute these. An interruption in the information flow at any of these stages leads to disfluencies. To capture this combination of fluent typing and typing hesitations, researchers calculate different measures from keystroke-latency data—such as mean inter-keystroke interval and pause frequencies. There are two fundamental problems with this: first, summary statistics ignore important information in the data and frequently result in biased estimates; second, pauses and pause-related measures are defined using threshold values which are, in principle, arbitrary. We implemented a series of Bayesian models that aimed to address both issues while providing reliable estimates for individual typing speed and statistically inferred process disfluencies. We tested these models on a random sample of 250 copy-task recordings. Our results illustrate that we can model copy typing as a mixture process of fluent and disfluent key transitions. We conclude that mixture models (1) map onto the information cascade that generate keystrokes, and (2) provide a principled approach to detect disfluencies in keyboard typing.

Mind wandering and executive dysfunction predict children’s performance in the metronome response task

Mind wandering is a ubiquitous experience during adulthood and has received significant scholarly attention in recent years. Relatively few studies, however, have examined the phenomenon in children. Building on recent work, the current study examined the frequency and validity of children’s reports of mind wandering while completing a minimalistic task previously unused in past child research—the Metronome Response Task (MRT) [Journal of Experimental Psychology: Human Perception and Performance (2013), Vol. 39, pp. 1–5]. Furthermore, the current study examined how parent reports of executive dysfunction in daily life relate to children’s reports of mind wandering and behavioral performance in the MRT. A total of 81 children aged 7–9 years completed the MRT, the demands of which simply involved pressing a key on a computer keyboard in concert with the unwavering tones of a metronome. Sporadic experience-sampling probes gauged whether children were on-task or mind wandering. Parents also reported on their children’s day-to-day difficulties with executive functioning across several domains. A series of multilevel models revealed that children reported being on-task more frequently then mind wandering and that children were more variable and less synchronous in their keypresses preceding reports of mind wandering than preceding reports of being on task. In addition, parent-reported difficulties with behavioral regulation predicted higher rates of mind wandering, whereas both behavioral dysregulation and metacognitive difficulties predicted lower MRT performance. These findings suggest that children are able to reliably report on their experiences of mind wandering in boredom-inducing contexts and advance our understanding of the factors underlying children’s experience of mind wandering under real-world conditions.

Environmental contamination with SARS-CoV-2 in COVID-19 hospitals in Wuhan, China, 2020.

SummaryCoronavirus disease 2019 (COVID‐19) pandemic has caused high number of infections and deaths of healthcare workers globally. Distribution and possible transmission route of SARS‐CoV‐2 in hospital environment should be clarified. We herein collected 431 environmental (391 surface and 40 air) samples in the intensive care unit (ICU) and general wards (GWs) of three hospitals in Wuhan, China from February 21 to March 4, 2020, and detected SARS‐CoV‐2 RNA by real‐time quantitative PCR. The viral positive rate in the contaminated areas was 17.8% (28/157), whereas there was no virus detected in the clean areas. Higher positive rate (22/59, 37.3%) was found in ICU than that in GWs (3/63, 4.8%). The surfaces of computer keyboards and mouse in the ICU were the most contaminated (8/10, 80.0%), followed by the ground (6/9, 66.7%) and outer glove (2/5, 40.0%). From 17 air samples in the contaminated areas, only one sample collected at a distance of around 30 cm from the patient was positive. Enhanced surface disinfection and hand hygiene effectively decontaminated the virus from the environment. This finding might help understand the transmission route and contamination risk of SARS‐CoV‐2 and evaluate the effectiveness of infection prevention and control measures in healthcare facilities.

Influence of 3D-Printed TPU Properties for the Design of Elastic Products.

The design of products with elastic properties is a paradigm for design engineers because the properties of the material define the correct functionality of the product. Fused filament fabrication (FFF) allows for the printing of products in thermoplastic polyurethanes (TPU). Therefore, it offers the ability to design elastic products with the freedom of forms that this technology allows and also with greater variation of elastic properties than with a conventional process. The internal structures and the variation in thickness that can be used facilitate the design of products with different elastic realities, producing variations in the elasticity of the product with the same material. This work studies the influence of the variation of internal density as a function of basic geometries in order to quantify the difference in elasticity produced on a product when it is designed. Likewise, a case study was carried out with the creation of a fully elastic computer keyboard printed in 3D. The specimens were subjected to compression to characterize the behavior of the structures. The tests showed that the elasticity varies depending on the orientation and geometry, with the highest compressive strength observed in the vertical orientation with 80% lightening. In addition, the internal lightening increases the elasticity progressively but not uniformly with respect to the solid geometry, and also the flat faces favour the reduction in elasticity. This study classifies the behavior of TPU with the aim of being applied to the design and manufacture of products with specific properties. In this work, a totally flexible and functional keyboard was designed, obtaining elasticity values that validate the study carried out.

Effects of Chronic Alcohol Use Disorder on the Visual Tilt Illusion.

Rationale: Among the serious consequences of alcohol use disorder (AUD) is the reduced ability to process visual information. It is also generally agreed that AUD tends to occur with disturbed excitation–inhibition (EI) balance in the central nervous system. Thus, a specific visual behavioral probe could directly qualify the EI dysfunction in patients with AUD. The tilt illusion (TI) is a paradigmatic example of contextual influences on perception of central target. The phenomenon shows a characteristic dependence on the angle between the inducing surround stimulus and the central target test. For small angles, there is a repulsion effect; for larger angles, there is a smaller attraction effect. The center-surround inhibition in tilt repulsion is considered to come from spatial orientational interactions between orientation-tuned neurons in the primary visual cortex (V1), and tilt attraction is from higher-level effects of orientation processing in the visual information processing.Objectives: The present study focuses on visual spatial information processing and explores whether chronic AUD patients in abstinence period exhibited abnormal TI compared with healthy controls.Methods: The participants are 30 male volunteers (20–46 years old) divided into two groups: the study group consists of 15 clinically diagnosed AUD patients undergoing abstinence from alcohol, and the control group consists of 15 healthy volunteers. The TI consists of a center target surround with an annulus (both target and annulus are sinusoidal grating with spatial frequency = 2 cycles per degree). The visual angle between center and surround is a variable restricted to 0°, ±15°, ±30°, or ±75°. For measuring the TI, participants have to report whether the center target grating orientation tilted clockwise or counterclockwise from the internal vertical orientation by pressing corresponding keys on the computer keyboard. No feedback is provided regarding response correctness.Results: The results reveal significantly weaker tilt repulsion effect under surround orientation ±15° (p < 0.05) and higher lapse rate (attention limitation index) under all tested surround orientations (all ps < 0.05) in patients with chronic AUD compared with health controls.Conclusions: These results provide psychophysical evidence that visual perception of center-contextual stimuli is different between AUD and healthy control groups.

A comparison of hand function in Colles and scaphoid casts using a modified Jebsen Hand Function Test.

This study investigates the impact of Colles versus scaphoid casts on hand function in modern day activities using the Jebsen Hand Function Test with additional modified subtests including texting on a mobile phone, using a computer mouse and typing on a computer keyboard. Twenty healthy volunteers were recruited for the study. Study participants performed worse in a scaphoid cast compared to a Colles cast; most evident in tasks involving fine motor movements such as writing, picking up small objects and stacking checkers (mean time difference 2.3 seconds, 1.5 seconds and 1.2 seconds, respectively) and tasks involving forearm rotation such as card turning and picking up large light objects (mean time difference 1.6 seconds and 1.1 seconds, respectively). This study highlights the importance of careful consideration when assessing the need for thumb immobilization, due to its impact on hand function when performing both traditional and modern-day activities of daily living.