scholarly journals Examination of car navigation systems and UX designs – suggestion for a new interface

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Fanni Vörös ◽  
Zoltán Tompos ◽  
Béla Kovács
Keyword(s):  
User Interface ◽  
Statistical Tests ◽  
Navigation Systems ◽  
Amount Of Information ◽  
Design Planning ◽  
The Right ◽  
Perfect Interface ◽  
Car Navigation

<p><strong>Abstract.</strong> The need for car-related navigation and the appearance of the vehicles themselves are much the same age – of course. In the early days, paper maps and personal questioning were solved this problem. Nearly 100 years ago, the first built-in car GPS was released – and this is an innovation that is still an important part of car design. Planning the user interface is a very exciting issue, because only in a few seconds the display needs to provide the user with the right amount of information. In this research our goal was to assess Hungarians driving and built-in GPS using habits and based on this try to suggest the “perfect” interface. A questionnaire was made with 19 or 46 questions and more than 1000 respondents completed it. Because of the high number of questions only selected diagrams are represented. Some answers have also been subjected to different statistical tests.</p>

scholarly journals Driving and navigation habits of Austrian drivers

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Fanni Vörös ◽  
Georg Gartner ◽  
Béla Kovács
Keyword(s):  
User Interface ◽  
Mobile Phone ◽  
Navigation System ◽  
Personal Digital Assistant ◽  
Amount Of Information ◽  
Gps Navigation ◽  
Portable Navigation ◽  
The Right ◽  
Navigation Experience ◽  
The Ideal

Abstract. A proper navigation experience is essential while driving. A navigation device has not only to provide the driver with the right amount of information to find the ideal route (shortest, most spectacular, fastest), but also has to make driving safer. Since the driver looks at the user interface of navigation devices only for a few seconds, it is essential that the appropriate amount of information is in the right place. There are many options for drivers to navigate with: mobile phone app, PDA (Personal Digital Assistant)/PNA (Portable Navigation Assistant) or a built-in GPS Navigation System. The presented research examined the driving and navigation habits of 116 Austrian drivers by considering the differences between the devices they use.

scholarly journals UniBioDicts: Unified access to Biological Dictionaries

2020 ◽  
Author(s):  
John Zobolas ◽  
Vasundra Touré ◽  
Martin Kuiper ◽  
Steven Vercruysse
Keyword(s):  
User Interface ◽  
Life Science ◽  
Biological Data ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Query Interface ◽  
Controlled Vocabularies ◽  
Search String ◽  
Software Packages ◽  
The Right

Abstract Summary We present a set of software packages that provide uniform access to diverse biological vocabulary resources that are instrumental for current biocuration efforts and tools. The Unified Biological Dictionaries (UniBioDicts or UBDs) provide a single query-interface for accessing the online API services of leading biological data providers. Given a search string, UBDs return a list of matching term, identifier and metadata units from databases (e.g. UniProt), controlled vocabularies (e.g. PSI-MI) and ontologies (e.g. GO, via BioPortal). This functionality can be connected to input fields (user-interface components) that offer autocomplete lookup for these dictionaries. UBDs create a unified gateway for accessing life science concepts, helping curators find annotation terms across resources (based on descriptive metadata and unambiguous identifiers), and helping data users search and retrieve the right query terms. Availability and implementation The UBDs are available through npm and the code is available in the GitHub organisation UniBioDicts (https://github.com/UniBioDicts) under the Affero GPL license. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Consistency of the Empirical Distributions of Navigation Positioning System Errors with Theoretical Distributions—Comparative Analysis of the DGPS and EGNOS Systems in the Years 2006 and 2014

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 31
Author(s):  
Mariusz Specht
Keyword(s):  
Normal Distribution ◽  
Root Mean Square ◽  
Statistical Tests ◽  
Position Error ◽  
Positioning System ◽  
Navigation Systems ◽  
Mean Square ◽  
Positioning Systems ◽  
Position Errors ◽  
System Errors

Positioning systems are used to determine position coordinates in navigation (air, land and marine). The accuracy of an object’s position is described by the position error and a statistical analysis can determine its measures, which usually include: Root Mean Square (RMS), twice the Distance Root Mean Square (2DRMS), Circular Error Probable (CEP) and Spherical Probable Error (SEP). It is commonly assumed in navigation that position errors are random and that their distribution are consistent with the normal distribution. This assumption is based on the popularity of the Gauss distribution in science, the simplicity of calculating RMS values for 68% and 95% probabilities, as well as the intuitive perception of randomness in the statistics which this distribution reflects. It should be noted, however, that the necessary conditions for a random variable to be normally distributed include the independence of measurements and identical conditions of their realisation, which is not the case in the iterative method of determining successive positions, the filtration of coordinates or the dependence of the position error on meteorological conditions. In the preface to this publication, examples are provided which indicate that position errors in some navigation systems may not be consistent with the normal distribution. The subsequent section describes basic statistical tests for assessing the fit between the empirical and theoretical distributions (Anderson-Darling, chi-square and Kolmogorov-Smirnov). Next, statistical tests of the position error distributions of very long Differential Global Positioning System (DGPS) and European Geostationary Navigation Overlay Service (EGNOS) campaigns from different years (2006 and 2014) were performed with the number of measurements per session being 900’000 fixes. In addition, the paper discusses selected statistical distributions that fit the empirical measurement results better than the normal distribution. Research has shown that normal distribution is not the optimal statistical distribution to describe position errors of navigation systems. The distributions that describe navigation positioning system errors more accurately include: beta, gamma, logistic and lognormal distributions.

Extracting Medical Information from Paper COVID-19 Assessment Forms

2021 ◽  
Vol 12 (01) ◽  
pp. 170-178
Author(s):  
Jacob D. Schultz ◽  
Colin G. White-Dzuro ◽  
Cheng Ye ◽  
Joseph R. Coco ◽  
Janet M. Myers ◽  
...  
Keyword(s):  
User Interface ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Medical Information ◽  
Medical Center ◽  
Data Validation ◽  
Average Accuracy ◽  
Medical Documents ◽  
Optical Mark Recognition ◽  
The Right

Abstract Objective This study examines the validity of optical mark recognition, a novel user interface, and crowdsourced data validation to rapidly digitize and extract data from paper COVID-19 assessment forms at a large medical center. Methods An optical mark recognition/optical character recognition (OMR/OCR) system was developed to identify fields that were selected on 2,814 paper assessment forms, each with 141 fields which were used to assess potential COVID-19 infections. A novel user interface (UI) displayed mirrored forms showing the scanned assessment forms with OMR results superimposed on the left and an editable web form on the right to improve ease of data validation. Crowdsourced participants validated the results of the OMR system. Overall error rate and time taken to validate were calculated. A subset of forms was validated by multiple participants to calculate agreement between participants. Results The OMR/OCR tools correctly extracted data from scanned forms fields with an average accuracy of 70% and median accuracy of 78% when the OMR/OCR results were compared with the results from crowd validation. Scanned forms were crowd-validated at a mean rate of 157 seconds per document and a volume of approximately 108 documents per day. A randomly selected subset of documents was reviewed by multiple participants, producing an interobserver agreement of 97% for documents when narrative-text fields were included and 98% when only Boolean and multiple-choice fields were considered. Conclusion Due to the COVID-19 pandemic, it may be challenging for health care workers wearing personal protective equipment to interact with electronic health records. The combination of OMR/OCR technology, a novel UI, and crowdsourcing data-validation processes allowed for the efficient extraction of a large volume of paper medical documents produced during the COVID-19 pandemic.

scholarly journals Market reaction to the rights issue announcement on the Indonesia stock exchange

2019 ◽  
Vol 6 (6) ◽  
pp. 264-269
Author(s):  
Ni Putu Linsia Dewi ◽  
Ica Rika Candraningrat
Keyword(s):  
Capital Market ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Abnormal Returns ◽  
Analysis Technique ◽  
Before And After ◽  
Parametric Statistical Test ◽  
The Right ◽  
Rights Issue

Rights issue or the issuance of pre-emptive rights are the rights granted by an issuer company made to its existing shareholders to buy new shares issued within a predetermined period of time. This study aims to empirically explain the differences in abnormal returns before and after the announcement of the rights issue and to determine the form of capital market efficiency in Indonesia. Data are collected from 27 listed companies in the Indonesia Stock Exchange (IDX) that conducted a rights issue in 2014-2018. The data analysis technique used is the Kolmogorov-Smirnov Normality Test and the Parametric Statistical Test with a paired sample t-test. Based on the results of hypothesis testing not found differences in abnormal returns both before and after the announcement date indicating the market does not react to the right issue event. The results of statistical tests show a downward trend of abnormal return which is proxied in the Cumulative Abnormal Return (CAR), implying a market tends to react negatively to the announcement of the rights issue. Rights issue information causes a new equilibrium price adjustment in the market, thus making the form of efficiency of the Indonesian capital market a semi-strong form.

scholarly journals Enhancing the operational efficiency of quantum random number generators

2021 ◽  
Vol 13 (2) ◽  
pp. 10-18
Author(s):  
Botond L. Márton ◽  
Dóra Istenes ◽  
László Bacsárdi
Keyword(s):  
Random Number ◽  
Statistical Tests ◽  
Practical Implementation ◽  
Random Numbers ◽  
Random Number Generators ◽  
Original Source ◽  
Negative Effect ◽  
Quantum Phenomena ◽  
The Right

Random numbers are of vital importance in today’s world and used for example in many cryptographical protocols to secure the communication over the internet. The generators producing these numbers are Pseudo Random Number Generators (PRNGs) or True Random Number Generators (TRNGs). A subclass of TRNGs are the Quantum based Random Number Generators (QRNGs) whose generation processes are based on quantum phenomena. However, the achievable quality of the numbers generated from a practical implementation can differ from the theoretically possible. To ease this negative effect post-processing can be used, which contains the use of extractors. They extract as much entropy as possible from the original source and produce a new output with better properties. The quality and the different properties of a given output can be measured with the help of statistical tests. In our work we examined the effect of different extractors on two QRNG outputs and found that witg the right extractor we can improve their quality.

Marketing and Artificial Intelligence

2021 ◽  
pp. 75-95
Author(s):  
Sujata Ramnarayan
Keyword(s):  
Artificial Intelligence ◽  
Customer Experience ◽  
Amount Of Information ◽  
Making Sense ◽  
Value Add ◽  
The Right

Technologies are changing marketing due to the amount of information available to consumers, along with information being generated by consumers. Marketers face a challenge with greater volume and variety of data generated at a faster rate than ever before along with fragmentation of channels. This data when combined with artificial intelligence presents an opportunity to marketers to provide value add at a granular level and a personalized customer experience round the clock 24/7/365. Treating customers as individuals by offering an optimized personalized offering, sending the right personalized message at the right time through their preferred channel is the promise of data fed into AI algorithms. Artificial intelligence has the potential to transform companies by making sense out of an insanely voluminous variety of data being generated with its ability to serve customers more effectively and efficiently, personalizing at scale.

Situated Knowledge in Context-Aware Computing

2011 ◽  
pp. 179-197
Author(s):  
Fredrik Svahn ◽  
Ola Henfridsson
Keyword(s):  
Ubiquitous Computing ◽  
Central Feature ◽  
Navigation Systems ◽  
Route Guidance ◽  
Context Aware ◽  
Situated Knowledge ◽  
Context Aware Computing ◽  
Actual Use ◽  
Car Navigation

A central feature of ubiquitous computing applications is their capability to automatically react on context changes so as to support users in their mobility. Such context awareness relies on models of specific use contexts, embedded in ubiquitous computing environments. However, since most such models are based merely on location and identity parameters, context-aware applications seldom cater for users’ situated knowledge and experience of specific contexts. This is a general user problem in well-known, but yet dynamic, user environments. Drawing on a sequential multimethod study of in-car navigation, this paper explores the role of situated knowledge in designing and using context-aware applications. This focus is motivated by the current lack of empirical investigations of context-aware applications in actual use settings. In-car navigation systems are a type of context-aware application that includes a set of contextual parameters for supporting route guidance in a volatile context. The paper outlines a number of theoretical and practical implications for context-aware application design and use.

scholarly journals Computerized Auditory Training in Students: Electrophysiological and Subjective Analysis of Therapeutic Effectiveness

2017 ◽  
Vol 22 (01) ◽  
pp. 023-032 ◽  
Author(s):  
Ândrea Melo ◽  
Carolina Mezzomo ◽  
Michele Garcia ◽  
Eliara Pinto Biaggio
Keyword(s):  
Neural Plasticity ◽  
Therapeutic Intervention ◽  
Statistical Tests ◽  
Auditory Evoked Potential ◽  
Auditory Training ◽  
Therapeutic Effects ◽  
Phonological Acquisition ◽  
Subjective Analysis ◽  
Significant Difference ◽  
The Right

Introduction Computerized auditory training (CAT) has been building a good reputation in the stimulation of auditory abilities in cases of auditory processing disorder (APD). Objective To measure the effects of CAT in students with APD, with typical or atypical phonological acquisition, through electrophysiological and subjective measures, correlating them pre- and post-therapy. Methods The sample for this study includes14 children with APD, subdivided into children with APD and typical phonological acquisition (G1), and children with APD and atypical phonological acquisition (G2). Phonological evaluation of children (PEC), long latency auditory evoked potential (LLAEP) and scale of auditory behaviors (SAB) were conducted to help with the composition of the groups and with the therapeutic intervention. The therapeutic intervention was performed using the software Escuta Ativa (CTS Informática, Pato Branco, Brazil) in 12 sessions of 30 minutes, twice a week. For data analysis, the appropriate statistical tests were used. Results A decrease in the latency of negative wave N2 and the positive wave P3 in the left ear in G1, and a decrease of P2 in the right ear in G2 were observed. In the analysis comparing the pre- and post-CAT groups, there was a significant difference in P1 latency in the left ear and P2 latency in the right ear, pre-intervention. Furthermore, eight children had an absence of the P3 wave, pre-CAT, but after the intervention, all of them presented the P3 wave. There were changes in the SAB score pre- and post-CAT in both groups. The presence of correlation between the scale and some LLAEP components was observed. Conclusion The CAT produced an electrophysiological modification, which became evident in the effects of the effects of neural plasticity after CAT. The SAB proved to be useful in measuring the therapeutic effects of the intervention. Moreover, there were behavioral changes in the SAB (higher scores) and correlation with LLAEP.

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