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2021 Conference article Open Access OPEN

An enriched emoji picker to improve accessibility in mobile communications
Paratore M. T., Buzzi M. C., Buzzi M., Leporini B.
We present an emoji picker designed to enrich emojis selection on mobile devices using audio cues. The aim is to make emojis selection more intuitive by better identify their meanings. Unlike the typical emoji input components currently in use (known as "pickers"), in our component each emotion-related item is represented by both an emoji and a non-verbal vocal cue, and it is displayed according to a two-dimensional model suggesting the pleasantness and intensity of the emotion itself. The component was embedded in an Android app in order to exploit touchscreen interaction together with audio cues to ease the selection process by using more than one channel (visual and auditory). Since the component adds non-visual information that drives the emoji selection, it may be particularly useful for users with visual impairments. In order to investigate the feasibility of the approach and the acceptability/usability of the emoji picker component, a preliminary remote evaluation test involving both sighted and visually impaired users was performed. Analysis of the data collected through the evaluation test shows that all the participants, whether sighted or visually impaired, rated the usability of our picker as good, and also evaluated positively the model adopted to add semantic value to emojis.Source: INTERACT 2021 - 18th IFIP TC 13 International Conference on Human-Computer Interaction (Part I), pp. 418–433, Bari, Italy, 30/08/2021 - 03/09/2021
DOI: 10.1007/978-3-030-85623-6_25

See at: ISTI Repository Open Access | link.springer.com Restricted | CNR ExploRA Restricted


2021 Journal article Open Access OPEN

Using localisation technologies and haptic feedback for a more inclusive society
Leporini B., Paratore M. T
People with special needs face specific challenges in everyday activities. People with visual impairments, for example, have problems with orientation and mobility; moreover, they face serious issues when it comes to accessing information and services or perceiving the surrounding environment. Technologies such as the Internet of Things (IoT) and artificial systems can offer interesting solutions to overcome these limitations and can support users with special needs in an inclusive way.Source: ERCIM news 127 (2021): 36–37.

See at: ercim-news.ercim.eu Open Access | ISTI Repository Open Access | CNR ExploRA Open Access


2013 Conference article Restricted

Haptic reference cues to support the exploration of touchscreen mobile devices by blind users
Buzzi M. C., Buzzi M., Donini F., Leporini B., Paratore M. T.
Mobile devices are currently used for an increasing number of activities. However, their use is still a challenge for blind users. Main problems are especially due to the interaction via touchscreen and the lack of hardware keys for quickly detecting or activating functions. In this paper we investigated the use of the tactile channel to make interaction with touch-based mobile devices easier for blind users. After introducing common touchscreen usability problems, we presented our proposal aimed at enriching the user interface with haptic points to aid blind user orientation on the main sections of a user interface. Starting from two use cases, in order to set-up the proposed solution we have developed a simple controller prototype, based on Arduino open-hardware.Source: CHItaly 2013 - Biannual Conference of the Italian Chapter of SIGCHI, Trento, Italy, 16-19 September 2013
DOI: 10.1145/2499149.2499156

See at: academic.microsoft.com Restricted | dblp.uni-trier.de Restricted | dl.acm.org Restricted | dl.acm.org Restricted | CNR ExploRA Restricted


2013 Contribution to book Open Access OPEN

Vibro-tactile enrichment improves blind user interaction with mobile touchscreens
Buzzi M. C., Buzzi M., Leporini B., Paratore M. T.
Interaction via mobile devices is a challenge for blind users, who often encounter severe accessibility and usability problems. The main issues are due to the lack of hardware keys, making it difficult to quickly reach an area or activate functions, and to the new way of interacting via touchscreen. A touchscreen has no specific reference points detectable by feel, so a blind user cannot easily understand exactly where (s)he is positioned on the interface nor readily find a specific item/function. Alternative ways to provide content are mainly vocal and may be inadequate in some situations, e.g., noisy environments. In this study we investigate enriching the user interfaces of touchscreen mobile devices to facilitate blind users' orientation. We propose a possible solution for improving interaction based on the vibro-tactile channel. After introducing the idea behind our approach, two implemented Android Apps including the enriched user interfaces are shown and discussed.Source: HUMAN-COMPUTER INTERACTION - INTERACT 2013, PT I, edited by Kotze, P; Marsden, G; Lindgaard, G; Wesson, J; Winckler, M, pp. 641–648, 2013
DOI: 10.1007/978-3-642-40483-2_45

See at: link.springer.com Open Access | academic.microsoft.com Restricted | core.ac.uk Restricted | dblp.uni-trier.de Restricted | Hyper Article en Ligne Restricted | hal.inria.fr Restricted | Hyper Article en Ligne Restricted | hal.inria.fr Restricted | link.springer.com Restricted | link.springer.com Restricted | link.springer.com Restricted | CNR ExploRA Restricted | www.growkudos.com Restricted | www.interact2013.org Restricted | www.researchgate.net Restricted


2003 Journal article Restricted

Source separation in astrophysical maps using independent factor analysis
Kuruoglu E. E., Bedini L., Paratore M. T., Salerno E., Tonazzini A.
A microwave sky map results from a combination of signals from various astrophysical sources, such as cosmic microwave background radiation, synchrotron radiation and galactic dust radiation. To derive information about these sources, one needs to separate them from the measured maps on different frequency channels. Our insufficient knowledge of the weights to be given to the individual signals at different frequencies makes this a difficult task. Recent work on the problem led to only limited success due to ignoring the noise and to the lack of a suitable statistical model for the sources. In this paper, we derive the statistical distribution of some source realizations, and check the appropriateness of a Gaussian mixture model for them. A source separation technique, namely, independent factor analysis, has been suggested recently in the literature for Gaussian mixture sources in the presence of noise. This technique employs a three layered neural network architecture which allows a simple, hierarchical treatment of the problem. We modify the algorithm proposed in the literature to accommodate for space-varying noise and test its performance on simulated astrophysical maps. We also compare the performances of an expectation-maximization and a simulated annealing learning algorithm in estimating the mixture matrix and the source model parameters. The problem with expectation-maximization is that it does not ensure global optimization, and thus the choice of the starting point is a critical task. Indeed, we did not succeed to reach good solutions for random initializations of the algorithm. Conversely, our experiments with simulated annealing yielded initialization-independent results. The mixing matrix and the means and coefficients in the source model were estimated with a good accuracy while some of the variances of the components in the mixture model were not estimated satisfactorily.Source: Neural networks 16 (2003): 479–491.

See at: CNR ExploRA Restricted


2003 Conference article Closed Access

Generazione d'interfacce utente per sistemi informativi basati sul Web
Aloia N., Concordia C., Paratore M. T.
Una componente essenziale dei sistemi informativi è costituita dal sottosistema d'interazione uomo-macchina. Sebbene la grande diffusione della tecnologia Web, abbia semplificato notevolmente lo sviluppo di nuovi servizi e fornito un rinnovato impulso alla realizzazione di moderni sistemi informativi, l'implementazione di interfacce utenti, soprattutto quelle delegate all'interazione con basi di dati, tuttora incide in maniera considerevole su tempi e costi di progetto. Nel presente articolo si discute la possibilità di generazione automatica d'interfacce uomo macchina per l'interrogazione di basi di dati, analizzando alcune proposte, basate su XML, e descrivendo la realizzazione di alcune estensioni al linguaggio Luxor-XUL, per l'applicazione ad un caso concreto. Una componente essenziale dei sistemi informativi è costituita dal sottosistema d'interazione uomo-macchina. Sebbene la grande diffusione della tecnologia Web, abbia semplificato notevolmente lo sviluppo di nuovi servizi e fornito un rinnovato impulso alla realizzazione di moderni sistemi informativi, l'implementazione di interfacce utenti, soprattutto quelle delegate all'interazione con basi di dati, tuttora incide in maniera considerevole su tempi e costi di progetto. Nel presente articolo si discute la possibilità di generazione automatica d'interfacce uomo macchina per l'interrogazione di basi di dati, analizzando alcune proposte, basate su XML, e descrivendo la realizzazione di alcune estensioni al linguaggio Luxor-XUL, per l'applicazione ad un caso concreto.Source: Congresso annuale AICA 2003, pp. 217–220, Trento, Italy, 15-17 Settembre 2003

See at: CNR ExploRA Restricted | www.informatik.uni-trier.de Restricted


2003 Conference article Open Access OPEN

Automatic GUI generation for WEB based information systems
Aloia N., Concordia C., Paratore M.
The HCI subsystem is an essential component of an Information System, whose success inside an organization strongly depend on user acceptance. A good UI design considering usability and accessibility is to the base of a system implementation that could be quite complex, particularly when a user interaction with different devices is required. The cost of such implementation, especially for large system, could be relevant, so any tool or method for automatic (or semi-automatic) GUI generation would be welcomed. In Web Based Information Systems, data entry Uis, interacting with Data Manager are a significant part of the whole HCI subsystem and usually implement a limited set of metaphors to allow reuse of components in different contexts. For this kind of UIs the complexity of automatic generation can be reduced. In this paper we first present a review of the existing open-source tools for automatic GUI development, then, we present a case study of GUI automatic generation in a Public Access WIS context.Source: ICWI 2003 - Proceedings of the IADIS International Conference WWW/Internet 2003, IADIS 2003, pp. 161–168, Algarve, Portugal, 5-8 November 2003

See at: ISTI Repository Open Access | CNR ExploRA Open Access | www.iadisportal.org Open Access


2003 Report Open Access OPEN

Automatic GUI generation for WEB based Information Systems
Aloia N., Concordia C., Paratore M.
The HCI subsystem is an essential component of an Information System, whose success inside an organization strongly depend on user acceptance. A good UI design considering usability and accessibility is to the base of a system implementation that could be quite complex, particularly when a user interaction with different devices is required. The cost of such implementation, especially for large system, could be relevant, so any tool or method for automatic (or semi-automatic) GUI generation would be welcomed. In Web Based Information Systems, data entry Uis, interacting with Data Manager are a significant part of the whole HCI subsystem and usually implement a limited set of metaphors to allow reuse of components in different contexts. For this kind of UIs the complexity of automatic generation can be reduced. In this paper we first present a review of the existing open-source tools for automatic GUI development, then, we present a case study of GUI automatic generation in a Public Access WIS context.Source: ISTI Technical reports, 2003

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2003 Report Open Access OPEN

Dal sistema informativo INFEA al sistema informativo SVS
Aloia N., Concordia C., Paratore M. T., Tardelli S., Versienti L.
This document is the final report of the "Sistema informativo SVS" project, whose main goal is the design and implementation of advanced features for "INFEA", a Web-based Information System formerly developed for the "Italian Ministry of The Environment" by CNUCE - CNR institute (now ISTI-CNR). New tools have been implemented in SVS to enable system users to store retrieve and evaluate project proposals, to manage projects financing and to build sophisticated reports. Moreover the module implementing asynchronous communication has been completely redesigned and implemented using a MOM framework; security has been improved using stronger encryption in digital certificates and the DBMS has been tuned. Another major change is that the web server functionalities have been embedded in the computer systemSource: ISTI Technical reports, pp.1–152, 2003

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2002 Conference article Open Access OPEN

Component separation in astronomical images using independent factor analysis
Kuruoglu E. E., Bedini L., Paratore M. T., Salerno E., Tonazzini A.
An abstract is not availableSource: EUSIPCO 2002 - XI European Signal Processing Conference, Toulouse, France, 3-6 September 2002

See at: CNR ExploRA Open Access


2002 Report Open Access OPEN

Numerical experiments on blind separation of astrophysical maps by independent factor analysis
Kuruoglu E. E., Bedini L., Paratore M. T., Salerno E., Tonazzini A.
The celestial microwave radiation is generated by various astrophysical sources. Measuring this radiation does not enable us to immediately extract information about the sources, since the individual signals are superimposed to one another all over the measurement bandwidth. Each source process radiates in accordance with a typical frequency-emission law, which, unfortunately, is often unknown. Some blind technique should thus be used to separate the individual components from the total radiation. In this paper, we apply a recently introduced approach, called Independent Factor Analysis (IFA), which models the sources as mixtures of Gaussians. After checking the appropriateness of this model to our case, we briefly describe the IFA approach and show some results from simulated but realistic data.Source: ISTI Technical reports, 2002

See at: CNR ExploRA Open Access


2001 Report Open Access OPEN

Independent factor analysis for component separation from planck channel maps
Kuruoglu E. E., Bedini L., Paratore M. T., Salerno E., Tonazzini A.
A microwave sky map results from a combination of signals from various astrophysical sources, such as cosmic microwave background radiation, synchrotron radiation and galactic dust radiation. To derive information about these sources, one needs to separate them from the measured maps on different frequency channels. This task is made difficult by our insufficient knowledge of the weights to be given to the individual signals at different frequencies. Recent work on the problem led to only limited success due to ignoring the noise and to the lack of a suitable statistical model for the sources. In this paper, we derive the statistical distribution of some source realizations, and check the appropriateness of a Gaussian mixture model for them. A source separation technique, namely independent factor analysis, had been suggested recently in the literature for Gaussian mixture sources in the presence of noise. This technique employs a three layered neural network architecture which allows a simple, hierarchical treatment of the problem. We modify the algorithm proposed in the literature to accommodate for space-varying noise and test its performance on simulated astrophysical maps. We also compare the performances of the expectation-maximization and the simulated annealing learning algorithm in the estimation of the mixing parameters. The simulation results demonstrate the success of the independent factor analysis approach with simulated-annealing learning, which proves better than the expectation-maximization learning especially for higher noise levels and when the independence of the performance from starting points is considered.Source: ISTI Technical reports, pp.1–26, 2001

See at: CNR ExploRA Open Access