scholarly journals Investigating the effects of corpus and configuration on assistive input methods

2021 ◽  
Author(s):  
◽  
Samuel Hindmarsh
Keyword(s):  
Assistive Technologies ◽  
Communication Aids ◽  
Adaptive Communication ◽  
Tuning Parameters ◽  
Text Input ◽  
Input Text ◽  
Corpus Size ◽  
Similar Restriction ◽  
Prediction Systems ◽  
The Impact

<p>Assistive technologies aim to provide assistance to those who are unable to perform various tasks in their day-to-day lives without tremendous difficulty. This includes — amongst other things — communicating with others. Augmentative and adaptive communication (AAC) is a branch of assistive technologies which aims to make communicating easier for people with disabilities which would otherwise prevent them from communicating efficiently (or, in some cases, at all). The input rate of these communication aids, however, is often constrained by the limited number of inputs found on the devices and the speed at which the user can toggle these inputs. A similar restriction is also often found on smaller devices such as mobile phones: these devices also often require the user to input text with a smaller input set, which often results in slower typing speeds.  Several technologies exist with the purpose of improving the text input rates of these devices. These technologies include ambiguous keyboards, which allow users to input text using a single keypress for each character and trying to predict the desired word; word prediction systems, which attempt to predict the word the user is attempting to input before he or she has completed it; and word auto-completion systems, which complete the entry of predicted words before all the corresponding inputs have been pressed.  This thesis discusses the design and implementation of a system incorporating the three aforementioned assistive input methods, and presents several questions regarding the nature of these technologies. The designed system is found to outperform a standard computer keyboard in many situations, which is a vast improvement over many other AAC technologies. A set of experiments was designed and performed to answer the proposed questions, and the results of the experiments determine that the corpus used to train the system — along with other tuning parameters — have a great impact on the performance of the system. Finally, the thesis also discusses the impact that corpus size has on the memory usage and response time of the system.</p>

scholarly journals Investigating the effects of corpus and configuration on assistive input methods

2021 ◽  
Author(s):  
◽  
Samuel Hindmarsh
Keyword(s):  
Assistive Technologies ◽  
Communication Aids ◽  
Adaptive Communication ◽  
Tuning Parameters ◽  
Text Input ◽  
Input Text ◽  
Corpus Size ◽  
Similar Restriction ◽  
Prediction Systems ◽  
The Impact

<p>Assistive technologies aim to provide assistance to those who are unable to perform various tasks in their day-to-day lives without tremendous difficulty. This includes — amongst other things — communicating with others. Augmentative and adaptive communication (AAC) is a branch of assistive technologies which aims to make communicating easier for people with disabilities which would otherwise prevent them from communicating efficiently (or, in some cases, at all). The input rate of these communication aids, however, is often constrained by the limited number of inputs found on the devices and the speed at which the user can toggle these inputs. A similar restriction is also often found on smaller devices such as mobile phones: these devices also often require the user to input text with a smaller input set, which often results in slower typing speeds.  Several technologies exist with the purpose of improving the text input rates of these devices. These technologies include ambiguous keyboards, which allow users to input text using a single keypress for each character and trying to predict the desired word; word prediction systems, which attempt to predict the word the user is attempting to input before he or she has completed it; and word auto-completion systems, which complete the entry of predicted words before all the corresponding inputs have been pressed.  This thesis discusses the design and implementation of a system incorporating the three aforementioned assistive input methods, and presents several questions regarding the nature of these technologies. The designed system is found to outperform a standard computer keyboard in many situations, which is a vast improvement over many other AAC technologies. A set of experiments was designed and performed to answer the proposed questions, and the results of the experiments determine that the corpus used to train the system — along with other tuning parameters — have a great impact on the performance of the system. Finally, the thesis also discusses the impact that corpus size has on the memory usage and response time of the system.</p>

The potential role of relatives in designing person-centred assistive technologies (innovative practice)

Dementia ◽  
2017 ◽  
Vol 18 (7-8) ◽  
pp. 3161-3164 ◽  
Author(s):  
Rudi Coetzer
Keyword(s):  
Collaborative Design ◽  
Potential Role ◽  
Assistive Technologies ◽  
Visual Spatial ◽  
Innovative Practice ◽  
The Impact

The paper explores the important role of relatives in designing assistive technologies in collaboration with practitioners. A brief case study reports the collaborative design of a 24-hour clock to reduce the impact of visual–spatial impairment on a family member's ability to read time and prevent temporal disorientation.

scholarly journals Unsupervised Compositionality Prediction of Nominal Compounds

2019 ◽  
Vol 45 (1) ◽  
pp. 1-57 ◽  
Author(s):  
Silvio Cordeiro ◽  
Aline Villavicencio ◽  
Marco Idiart ◽  
Carlos Ramisch
Keyword(s):  
Morphological Variation ◽  
Red Wine ◽  
Data Sets ◽  
High Agreement ◽  
Semantic Models ◽  
Corpus Size ◽  
Nominal Compounds ◽  
Distributional Semantic Models ◽  
The Impact

Nominal compounds such as red wine and nut case display a continuum of compositionality, with varying contributions from the components of the compound to its semantics. This article proposes a framework for compound compositionality prediction using distributional semantic models, evaluating to what extent they capture idiomaticity compared to human judgments. For evaluation, we introduce data sets containing human judgments in three languages: English, French, and Portuguese. The results obtained reveal a high agreement between the models and human predictions, suggesting that they are able to incorporate information about idiomaticity. We also present an in-depth evaluation of various factors that can affect prediction, such as model and corpus parameters and compositionality operations. General crosslingual analyses reveal the impact of morphological variation and corpus size in the ability of the model to predict compositionality, and of a uniform combination of the components for best results.

scholarly journals Risk-adjusted return, fund manager efficacy, and fund characteristics – An inquiry

2021 ◽  
Author(s):  
Riyazahmed K
Keyword(s):  
Regression Analysis ◽  
Mutual Funds ◽  
Fund Performance ◽  
Sharpe Ratio ◽  
Information Ratio ◽  
Fund Manager ◽  
Data Set ◽  
Dependent Variables ◽  
Corpus Size ◽  
The Impact

Abstract In this study, I examine the risk-adjusted return of mutual funds in India. A data set of 4220 mutual funds is used for the analysis. Sharpe ratio, a metric of risk-adjusted return (Sharpe, 1994) and Information ratio, a metric of outperformance than a fund’s benchmark (Goodwin, 1998) were analyzed. Regression analysis is used to estimate the impact of fund characteristics like fund category, fund type, fund access type, corpus size on the dependent variables i.e., Sharpe Ratio and the Information Ratio. All the funds underperformed in both the Sharpe ratio and Information ratio. Liquid funds found worst. Fund type and corpus size do not impact fund performance. Fund access type was found to be significant on fund performance. The results add to the literature by examining the post-pandemic period.

The role of subpolar North Atlantic as a source of predictability

2021 ◽  
Author(s):  
Shuting Yang ◽  
Tian Tian ◽  
Yiguo Wang ◽  
Torben Schmith ◽  
Steffen M. Olsen ◽  
...  
Keyword(s):  
North Atlantic ◽  
Decadal Variability ◽  
Model Systems ◽  
The Arctic ◽  
Ocean Temperature ◽  
High Latitudes ◽  
Cold Anomaly ◽  
Prediction Systems ◽  
The Impact

&lt;p&gt;The subpolar North Atlantic (SPNA) is a region experiencing substantial decadal variability, which has been linked to extreme weather impacts over continents. Recent studies have suggested that the connectivity with the SPNA may be a key to predictions in high latitudes. To understand the impact of the SPNA on predictability of North Atlantic-European sectors and the Arctic, we use two climate&lt;strong&gt; &lt;/strong&gt;prediction systems, EC-Earth3-CPSAI and NorCPM1, to perform ensemble pacemaker experiments with a focus on the subpolar extreme cold anomaly event in 2015. This 2015 cold anomaly event is generally underestimated by the decadal prediction systems. In order to force the model to better represent the observed anomaly in SPNA, we apply nudging in a region of the SPNA (i.e., 51.5&amp;#176;W - 13.0&amp;#176;W, 30.4&amp;#176;N - 57.5&amp;#176;N, and from surface to 1000 m depth in the ocean). Here ocean temperature and salinity is restored to observed conditions from reanalysis in both model systems. All other aspects of the setup of this pacemaker experiment follow the protocol for the CMIP6 DCPP-A hindcasts and initialized on November 1, 2014. The restoration is applied during the hindcasts from November 2014 to December 2019. Multi-member ensembles of 10-year hindcasts are performed with 10 members for the EC-Earth3-CPSAI and 30 members for the NorCPM1.&lt;/p&gt;&lt;p&gt;The time evolution of ensembles of the initialized nudging hindcasts (EXP1) is compared with the initialized DCPP-A hindcast ensembles (EXP2) and the uninitialized ensembles (EXP3). The prediction skills of the three sets of experiments are also assessed. It can be seen that restoring the ocean temperature and salinity in the SPNA region to the reanalysis improves the prediction in the region quickly after the simulation starts, as expected. On the interannual to decadal time scales, the areas with improved prediction skills extend to over almost the entire North Atlantic for both models. The improved skill over Nordic Seas is particularly significant, especially for EC-Earth3-CPSAI. For NorCPM, the regions with improved skills extend to the entire Arctic. Our results suggest the possible role of the SPNA as a source of skillful predictions on interannual to decadal time scale, especially for high latitudes. The ocean pathways are the critical source of skill whereas our results imply a limited role of coupled feedbacks through the atmosphere. &amp;#160;&lt;/p&gt;

Human Performance

2014 ◽  
pp. 267-273
Keyword(s):  
Assistive Technology ◽  
Human Performance ◽  
People With Disabilities ◽  
Critical Factor ◽  
Assistive Technologies ◽  
Working Environments ◽  
The Future ◽  
Performance Issues ◽  
The One ◽  
The Impact

This chapter looks into horizontal issues in ICT advances and discusses how the factor of human performance could help in increasing the impact of eAccessibility and assistive technologies in the future. More specifically, it revisits some of the ideas presented in earlier chapters looking at them from a different angle. The one of maximizing the audience and target group for assistive technologies through the increase in human performance, issues related with exoskeletons for working environments and dual use of assistive technology, sports as a motivator, aesthetics and fashion of prosthetics are discussed from this same perspective. Human performance could be a critical factor for the future of assistive technologies, and today's people with disabilities could become tomorrow's people with super-abilities and leaders in human performance issues.

Assistive Technology to Promote Adaptive Skills in Children and Adolescents With Rett Syndrome

2022 ◽  
pp. 131-146
Author(s):  
Donatella Ciarmoli
Keyword(s):  
Quality Of Life ◽  
Rett Syndrome ◽  
Assistive Technologies ◽  
Genetic Syndromes ◽  
Motor Impairments ◽  
Use Of Technology ◽  
Adaptive Responding ◽  
Clinical Conditions ◽  
The Impact

Rett syndrome is classified within the rare genetic syndromes, characterised by intellectual delays, extensive motor impairments, lack of speech and communication difficulties, sensorial deficits, and problems in adaptive responding. That clinical conditions may be deleterious on their social image, status, and quality of life. A practice for addressing this problem is technology-based interventions. The use of assistive technologies, in particular microswitches, with children with RTT has been shown to effectively change the impact on their quality of life, facilitating access to recreational activities and improving their performance. Through the use of technology-aided programs, a child with RTT and multiple disabilities will be ensured with an independent access to positive stimulation. In this chapter, a selective literature review was carried out considering Rett Syndrome, assistive technologies, quality of life, and rare genetic syndromes. Empirical data demonstrated the effectiveness and suitability of interventions with AT, allowing participants to increase their level of independence.

scholarly journals A New Impact Time and Angle Control Guidance Law for Stationary and Nonmaneuvering Targets

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Zhe Yang ◽  
Hui Wang ◽  
Defu Lin ◽  
Luyao Zang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Impact Angle ◽  
Accurate Solution ◽  
Control Surface ◽  
Impact Time ◽  
Tuning Parameters ◽  
Mode Control ◽  
Guidance Law ◽  
The Impact

A guidance problem for impact time and angle control applicable to cooperative attack is considered based on the sliding mode control. In order to satisfy the impact angle constraint, a line-of-sight rate polynomial function is introduced with four tuning parameters. And the time-to-go derivative with respect to a downrange orientation is derived to minimize the impact time error. Then the sliding mode control surface with impact time and angle constraints is constructed using nonlinear engagement dynamics to provide an accurate solution. The proposed guidance law is easily extended to a nonmaneuvering target using the predicted interception point. Numerical simulations are performed to verify the effectiveness of the proposed guidance law for different engagement scenarios.

scholarly journals Assessing the Impact of an Original Soft Communicative Robot in a Nursing Home in Japan: Will Softness or Conversations Bring more Smiles to Older People?

2021 ◽  
Author(s):  
Kazuko Obayashi ◽  
Naonori Kodate ◽  
Shigeru Masuyama
Keyword(s):  
Older Adults ◽  
Nursing Homes ◽  
Evaluation Study ◽  
Assistive Technologies ◽  
Small Scale ◽  
User Centered Design ◽  
Psychosocial Burden ◽  
Monitoring Camera ◽  
Increasing Demand ◽  
The Impact

AbstractIt has been reported that robotics-aided care can contribute to enhancing older people’s social participation and quality of life in nursing homes, while simultaneously reducing the burden on care professionals at nighttime. Due to increasing demand for social care and the relative workforce shortage, it is likely that a greater number and variety of robots will be introduced and implemented in the future. While the benefits of applying robots and assistive technologies are recognized, the current limitations and weaknesses have also been identified. One of these is the difficulty associated with a user-centered design, involving older adults with impaired cognitive and sensory abilities in nursing homes. In order to overcome this challenge, a project was carried out to develop a soft and compact bedside communication robot with an input/output device, connected to existing technologies (e.g. monitoring camera, biological sensor). Drawing on the principle of gemba (deference to frontline professionals’ experience, expertise and skills), users’ feedback was reflected in the iterative steps of robot development. The original soft and communicative robot was introduced and its effectiveness was tested by measuring older people’s reactions and changes in their behaviors and engagement levels. The article reports the development process and results of a small-scale evaluation study, comparing the impact of this original soft-type robot with and without its communicative functions. The human–robot interactions were captured on video, and the analysis revealed that while communicative robots reduced the psychosocial burden on older adults, positive emotional, verbal, visual and behavioral engagement was generated with the help of the non-verbal plush toy.

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