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Participatory Design in Digital Language Documentation: A Web Platform Approach
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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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A USER-CENTERED APPROACH TO THE DEVELOPMENT OF AN ELEARNING PROGRAM FOR CLASSROOM TEACHERS OF STUDENTS WITH DISRUPTIVE CLASSROOM BEHAVIOUR
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
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Improving active listening behaviours of embodied conversational agents (ECA) from a UX perspective
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Comparing the Effectiveness of Speech and Physiological Features in Explaining Emotional Responses during Voice User Interface Interactions
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1269 (2022)
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Abstract:
The rapid rise of voice user interface technology has changed the way users traditionally interact with interfaces, as tasks requiring gestural or visual attention are swapped by vocal commands. This shift has equally affected designers, required to disregard common digital interface guidelines in order to adapt to non-visual user interaction (No-UI) methods. The guidelines regarding voice user interface evaluation are far from the maturity of those surrounding digital interface evaluation, resulting in a lack of consensus and clarity. Thus, we sought to contribute to the emerging literature regarding voice user interface evaluation and, consequently, assist user experience professionals in their quest to create optimal vocal experiences. To do so, we compared the effectiveness of physiological features (e.g., phasic electrodermal activity amplitude) and speech features (e.g., spectral slope amplitude) to predict the intensity of users’ emotional responses during voice user interface interactions. We performed a within-subjects experiment in which the speech, facial expression, and electrodermal activity responses of 16 participants were recorded during voice user interface interactions that were purposely designed to elicit frustration and shock, resulting in 188 analyzed interactions. Our results suggest that the physiological measure of facial expression and its extracted feature, automatic facial expression-based valence, is most informative of emotional events lived through voice user interface interactions. By comparing the unique effectiveness of each feature, theoretical and practical contributions may be noted, as the results contribute to voice user interface literature while providing key insights favoring efficient voice user interface evaluation.
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Keyword:
emotional arousal; emotional valence; implicit measures; user experience; voice user interface
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URL: https://doi.org/10.3390/app12031269
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| 7 |
How Do Older Adults Process Icons in Visual Search Tasks? The Combined Effects of Icon Type and Cognitive Aging
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4525 (2022)
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Using Machine Learning for Pharmacovigilance: A Systematic Review
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In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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| 9 |
Num-Symbolic Homophonic Social Net-Words
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In: Information; Volume 13; Issue 4; Pages: 174 (2022)
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| 10 |
Translation Alignment with Ugarit
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In: Information; Volume 13; Issue 2; Pages: 65 (2022)
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THE EFFECTIVENESS OF APPLYING DIFFERENT STRATEGIES ON RECOGNITION AND RECALL TEXTUAL PASSWORD ...
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THE EFFECTIVENESS OF APPLYING DIFFERENT STRATEGIES ON RECOGNITION AND RECALL TEXTUAL PASSWORD ...
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Towards Portuguese Sign Language Identification Using Deep Learning
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| 14 |
Dicionários de aprendizes : uma abordagem interdisciplinar para o seu aperfeiçoamento
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Dependency Syntax in the Automatic Detection of Irony and Stance ; Sintaxis de dependencias en la detección automática de ironía y posicionamiento
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
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Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior
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In: Boise State University Theses and Dissertations (2021)
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Developing Messaging Content for a Physical Activity Smartphone App Tailored to Low-Income Patients: User-Centered Design and Crowdsourcing Approach.
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In: JMIR mHealth and uHealth, vol 9, iss 5 (2021)
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Contextualization of Web contents through semantic enrichment from linked open data ; Contextualisation des contenus Web par l'enrichissement sémantique à partir de données
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In: https://tel.archives-ouvertes.fr/tel-03561788 ; Databases [cs.DB]. Normandie Université, 2021. English. ⟨NNT : 2021NORMC243⟩ (2021)
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