Impact of web accessibility barriers on users with a hearing impairment

Several user tests were carried out on people with a hearing impairment to evaluate the impact of different web accessibility barriers on two similar web sites, one accessible and the other not accessible. The tests' focus was to analyze users' moods when faced with different accessibility barriers. Results show "complex text" and "multimedia content without text alternative" as the most critical barriers for users with this profile. Our investigation contributes to a better understanding of users when confronting accessibility barriers, and to emphasize the need of web content authors to use plain language and to provide captions and sign language alternatives in video content

Mixed Reality Interfaces for Augmented Text and Speech

While technology plays a vital role in human communication, there still remain many significant challenges when using them in everyday life. Modern computing technologies, such as smartphones, offer convenient and swift access to information, facilitating tasks like reading documents or communicating with friends. However, these tools frequently lack adaptability, become distracting, consume excessive time, and impede interactions with people and contextual information. Furthermore, they often require numerous steps and significant time investment to gather pertinent information. We want to explore an efficient process of contextual information gathering for mixed reality (MR) interfaces that provide information directly in the user’s view. This approach allows for a seamless and flexible transition between language and subsequent contextual references, without disrupting the flow of communication. ’Augmented Language’ can be defined as the integration of language and communication with mixed reality to enhance, transform, or manipulate language-related aspects and various forms of linguistic augmentations (such as annotation/referencing, aiding social interactions, translation, localization, etc.). In this thesis, our broad objective is to explore mixed reality interfaces and their potential to enhance augmented language, particularly in the domains of speech and text. Our aim is to create interfaces that offer a more natural, generalizable, on-demand, and real-time experience of accessing contextually relevant information and providing adaptive interactions. To better address this broader objective, we systematically break it down to focus on two instances of augmented language. First, enhancing augmented conversation to support on-the-fly, co-located in-person conversations using embedded references. And second, enhancing digital and physical documents using MR to provide on-demand reading support in the form of different summarization techniques. To examine the effectiveness of these speech and text interfaces, we conducted two studies in which we asked the participants to evaluate our system prototype in different use cases. The exploratory usability study for the first exploration confirms that our system decreases distraction and friction in conversation compared to smartphone search while providing highly useful and relevant information. For the second project, we conducted an exploratory design workshop to identify categories of document enhancements. We later conducted a user study with a mixed-reality prototype to highlight five board themes to discuss the benefits of MR document enhancement

Factors Affecting the Accessibility of IT Artifacts : A Systematic Review

Accessibility awareness and development have improved in the past two decades, but many users still encounter accessibility barriers when using information technology (IT) artifacts (e.g., user interfaces and websites). Current research in information systems and human-computer interaction disciplines explores methods, techniques, and factors affecting the accessibility of IT artifacts for a particular population and provides solutions to address these barriers. However, design realized in one solution should be used to provide accessibility to the widest range of users, which requires an integration of solutions. To identify the factors that cause accessibility barriers and the solutions for users with different needs, a systematic literature review was conducted. This paper contributes to the existing body of knowledge by revealing (1) management- and development-level factors, and (2) user perspective factors affecting accessibility that address different accessibility barriers to different groups of population (based on the International Classification of Functioning by the World Health Organization). Based on these findings, we synthesize and illustrate the factors and solutions that need to be addressed when creating an accessible IT artifact.© 2022 by the Association for Information Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the Association for Information Systems must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists requires prior specific permission and/or fee. Request permission to publish from: AIS Administrative Office, P.O. Box 2712 Atlanta, GA, 30301-2712 Attn: Reprints are via e-mail from [email protected]=vertaisarvioitu|en=peerReviewed

Factors Affecting the Accessibility of IT Artifacts: A Systematic Review

Accessibility awareness and development have improved in the past two decades, but many users still encounter accessibility barriers when using information technology (IT) artifacts (e.g., user interfaces and websites). Current research in information systems and human-computer interaction disciplines explores methods, techniques, and factors affecting the accessibility of IT artifacts for a particular population and provides solutions to address these barriers. However, design realized in one solution should be used to provide accessibility to the widest range of users, which requires an integration of solutions. To identify the factors that cause accessibility barriers and the solutions for users with different needs, a systematic literature review was conducted. This paper contributes to the existing body of knowledge by revealing (1) management- and development-level factors, and (2) user perspective factors affecting accessibility that address different accessibility barriers to different groups of population (based on the International Classification of Functioning by the World Health Organization). Based on these findings, we synthesize and illustrate the factors and solutions that need to be addressed when creating an accessible IT artifact

Towards Design Theory for Accessible IT Artefacts

Accessibility in the use of information technology (IT) artefacts, such as websites, applications, and user interfaces, means that they are designed in such a way that people with the broadest range of abilities can use them. However, although accessibility is a human right, IT artefacts often remain inaccessible. Aside from the available accessibility guidelines, we need sufficient design theories that explicitly state how accessibility should be addressed and designed to develop accessible IT artefacts for all users. This dissertation summarises four articles that address this problem. These studies are conducted with qualitative approaches that include a narrative literature review, a systematic literature review and a design science method comprising a participatory design and interviews. The first article develops an explaining theory of accessibility to gain an understanding of the construct of accessibility, showing possible variables of human abilities, tasks and contexts and their relationships in IT use. The second article illustrates the factors in management, development, user, and IT artefact features, including the roles and actions that these domains have and how they affect the realisation of accessibility. The other two articles contribute to accessibility guidance to improve and support content creators’ text production and writing process of accessible online text in the web context. The dissertation underscores three key determinants of the knowledge of accessibility: (1) assumptions of users’ abilities; (2) users’ actual needs; and (3) factors in the development chain. The foregoing factors contribute to the knowledge of accessibility and would help researchers, particularly design scientists, form prescriptive knowledge for practitioners to achieve accessible IT artefacts. Thus, researchers could better identify the variables, relationships and affecting factors in human abilities, management, development, content creation, tasks, and contexts that need to be addressed when designing IT artefacts for certain tasks and use contexts.Informaatioteknologia-artefaktien (IT-artefaktien), kuten verkkosivustojen, sovellusten ja käyttöliittymien saavutettavuus tarkoittaa sitä, että ihmiset erilaisine ominaisuuksineen ja kykyineen voivat käyttää niitä. Vaikka saavutettavuus on ihmisoikeus, IT-artefaktit eivät kuitenkaan ole aina saavutettavia. Käytettävissä olevista saavutettavuusohjeista huolimatta tarvitsemme suunnitteluteorioita, jotka ohjaavat IT-artefaktien suunnittelua, jotta niistä tulisi saavutettavia kaikille IT-artefaktin käyttäjille. Tämä väitöskirja on yhteenveto neljästä artikkelista, jotka käsittelevät tätä ongelmaa. Tutkimukset ovat tehty laadullisilla menetelmillä, joihin on sisältynyt narratiivinen kirjallisuuskatsaus, systemaattinen kirjallisuuskatsaus sekä suunnittelutieteellinen menetelmä sisältäen osallistavan suunnittelun ja haastattelut. Ensimmäisessä artikkelissa kehitetään kuvaileva saavutettavuuden teoria, jolla saadaan käsitys saavutettavuuden rakenteesta ja joka näyttää mahdolliset muuttujat ihmisen kyvyissä, tehtävissä ja konteksteissa, sekä niiden väliset suhteet. Toinen artikkeli kuvaa saavutettavuuteen vaikuttavia tekijöitä johtamisen, kehityksen, käyttäjän ja IT-artefaktin ominaisuuksien näkökulmista, mukaan lukien roolit ja toimenpiteet, joita näillä kohteilla on. Kaksi muuta artikkelia kehittävät ohjeistuksen sisällöntuottajien työn tueksi saavutettavan verkkotekstin tuottamiseksi. Väitöskirjassa esitetään kolme ratkaisevaa tekijää saavutettavuuden tietämyksessä: (1) olettamukset käyttäjien kyvyistä (2) käyttäjien todelliset tarpeet ja (3) tekijät kehitysketjussa. Näiden tekijöiden tuntemus auttaa erityisesti suunnittelutieteilijöitä muodostamaan ohjaavaa tietoa ammattilaisille saavutettavien IT-artefaktien saavuttamiseksi. Täten tutkijat voivat paremmin tunnistaa muuttujat, niiden väliset suhteet ja saavutettavuuteen vaikuttavat tekijät, jotka liittyvät käyttäjän kykyihin, johtamiseen, kehittämiseen, sisällöntuottamiseen, tehtäviin ja kontekstiin, kun IT-artefaktia suunnitellaan tiettyä tehtävää ja käyttökontekstia varten.fi=vertaisarvioitu|en=peerReviewed

Keskusteluavustimen kehittäminen kuulovammaisia varten automaattista puheentunnistusta käyttäen

Understanding and participating in conversations has been reported as one of the biggest challenges hearing impaired people face in their daily lives. These communication problems have been shown to have wide-ranging negative consequences, affecting their quality of life and the opportunities available to them in education and employment. A conversational assistance application was investigated to alleviate these problems. The application uses automatic speech recognition technology to provide real-time speech-to-text transcriptions to the user, with the goal of helping deaf and hard of hearing persons in conversational situations. To validate the method and investigate its usefulness, a prototype application was developed for testing purposes using open-source software. A user test was designed and performed with test participants representing the target user group. The results indicate that the Conversation Assistant method is valid, meaning it can help the hearing impaired to follow and participate in conversational situations. Speech recognition accuracy, especially in noisy environments, was identified as the primary target for further development for increased usefulness of the application. Conversely, recognition speed was deemed to be sufficient and already surpass the transcription speed of human transcribers.Keskustelupuheen ymmärtäminen ja keskusteluihin osallistuminen on raportoitu yhdeksi suurimmista haasteista, joita kuulovammaiset kohtaavat jokapäiväisessä elämässään. Näillä viestintäongelmilla on osoitettu olevan laaja-alaisia negatiivisia vaikutuksia, jotka heijastuvat elämänlaatuun ja heikentävät kuulovammaisten yhdenvertaisia osallistumismahdollisuuksia opiskeluun ja työelämään. Työssä kehitettiin ja arvioitiin apusovellusta keskustelupuheen ymmärtämisen ja keskusteluihin osallistumisen helpottamiseksi. Sovellus käyttää automaattista puheentunnistusta reaaliaikaiseen puheen tekstittämiseen kuuroja ja huonokuuloisia varten. Menetelmän toimivuuden vahvistamiseksi ja sen hyödyllisyyden tutkimiseksi siitä kehitettiin prototyyppisovellus käyttäjätestausta varten avointa lähdekoodia hyödyntäen. Testaamista varten suunniteltiin ja toteutettiin käyttäjäkoe sovelluksen kohderyhmää edustavilla koekäyttäjillä. Saadut tulokset viittaavat siihen, että työssä esitetty Keskusteluavustin on toimiva ja hyödyllinen apuväline huonokuuloisille ja kuuroille. Puheentunnistustarkkuus erityisesti meluisissa olosuhteissa osoittautui ensisijaiseksi kehityskohteeksi apusovelluksen hyödyllisyyden lisäämiseksi. Puheentunnistuksen nopeus arvioitiin puolestaan jo riittävän nopeaksi, ylittäen selkeästi kirjoitustulkkien kirjoitusnopeuden

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

On behalf of the Program Committee, a very warm welcome to the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020). This edition of the conference is held in Bologna and organised by the University of Bologna. The CLiC-it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after six years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges

Analyzing Text Complexity and Text Simplification: Connecting Linguistics, Processing and Educational Applications

Reading plays an important role in the process of learning and knowledge acquisition for both children and adults. However, not all texts are accessible to every prospective reader. Reading difficulties can arise when there is a mismatch between a reader’s language proficiency and the linguistic complexity of the text they read. In such cases, simplifying the text in its linguistic form while retaining all the content could aid reader comprehension. In this thesis, we study text complexity and simplification from a computational linguistic perspective. We propose a new approach to automatically predict the text complexity using a wide range of word level and syntactic features of the text. We show that this approach results in accurate, generalizable models of text readability that work across multiple corpora, genres and reading scales. Moving from documents to sentences, We show that our text complexity features also accurately distinguish different versions of the same sentence in terms of the degree of simplification performed. This is useful in evaluating the quality of simplification performed by a human expert or a machine-generated output and for choosing targets to simplify in a difficult text. We also experimentally show the effect of text complexity on readers’ performance outcomes and cognitive processing through an eye-tracking experiment. Turning from analyzing text complexity and identifying sentential simplifications to generating simplified text, one can view automatic text simplification as a process of translation from English to simple English. In this thesis, we propose a statistical machine translation based approach for text simplification, exploring the role of focused training data and language models in the process. Exploring the linguistic complexity analysis further, we show that our text complexity features can be useful in assessing the language proficiency of English learners. Finally, we analyze German school textbooks in terms of their linguistic complexity, across various grade levels, school types and among different publishers by applying a pre-existing set of text complexity features developed for German

ALT-C 2012 Abstracts

This is a PDF of the abstracts for all the sessions at the 2012 ALT conference. It is designed to be used alongside the online version of the conference programme. It was made public on 7 September 2012