1,350 research outputs found
Ергономічні вимоги до інтерфейсу електронних засобів навчального призначення
The article reveals the aspect of the “correct” creation of electronic learning tools to enhance learning efficiency and improve the learning process. In particular, the importance and the necessity of ergonomic requirements to the interface design for electronic tools of educational purpose.У статті висвітлено аспект "правильного" створення електронних засобів навчання для підвищення ефективності навчання та вдосконалення процесу навчання. Зокрема, важливість та необхідність ергономічних вимог до дизайну інтерфейсу для електронних інструментів освітнього призначення
IFIP TC 13 Seminar: trends in HCI proceedings, March 26, 2007, Salamanca (Spain)
Actas del 13o. Seminario de la International Federation for Information Processing (IFIP), celebrado en Salamanca el 26 de marzo de 2007, sobre las nuevas líneas de investigación en la interacción hombre-máquina, gestión del conocimiento y enseñanza por la Web
Web pages: What can you see in a single fixation?
Research in human vision suggests that in a single fixation, humans can extract a significant amount of information from a natural scene, e.g. the semantic category, spatial layout, and object identities. This ability is useful, for example, for quickly determining location, navigating around obstacles, detecting threats, and guiding eye movements to gather more information. In this paper, we ask a new question: What can we see at a glance at a web page – an artificial yet complex “real world” stimulus? Is it possible to notice the type of website, or where the relevant elements are, with only a glimpse? We find that observers, fixating at the center of a web page shown for only 120 milliseconds, are well above chance at classifying the page into one of ten categories. Furthermore, this ability is supported in part by text that they can read at a glance. Users can also understand the spatial layout well enough to reliably localize the menu bar and to detect ads, even though the latter are often camouflaged among other graphical elements. We discuss the parallels between web page gist and scene gist, and the implications of our findings for both vision science and human-computer interaction.Google Awar
User experience in cross-cultural contexts
This dissertation discusses how interdisciplinary UX teams can consider culturally sensitive design elements during the UX design process. It contributes a state-of-the-art meta review on UX evaluation methods, two software tool artifacts for cross-functional UX teams, and empirical insights in the differing usage behaviors of a website plug-in of French, German and Italian users, website design preferences of Vietnamese and German users, as well as learnings from a field trip that focused on studying privacy and personalization in Mumbai, India. Finally, based on these empirical insights, this work introduces the concept culturally sensitive design that goes beyond traditional cross-cultural design considerations in HCI that do not compare different approaches to consider culturally sensitive product aspects in user research
Challenges of Usability of E-Solutions in Reimagining Education in Nigeria
E-learning has been a main disruption in teaching and learning in the world, which has no doubt changed the narratives in the education sector. The advancements in the field of information and communication technologies have been a huge leap in the development of e-learning and presented a novel approach to education, with the switch from the conventional learning environment to transfer of knowledge online. During and after the COVID-19 pandemic it became imperative for more institutions of learning to adopt it. Despite the undeniable benefits of e-learning, usability has become the bane of its smooth implementation. This chapter highlights challenges associated with e-learning solutions and buttress the fact that usability will go a long way to give both teachers and learners a good user experience and give e-learning its pride of place in disruptive technologies. To successfully re-image education, more attention should be focused on ensuring usability of software solutions
Affective automotive user interfaces
Technological progress in the fields of ubiquitous sensing and machine learning has been fueling the development of user-aware human-computer interaction in recent years. Especially natural user interfaces, like digital voice assistants, can benefit from understanding their users in order to provide a more naturalistic experience. Such systems can, for example, detect the emotional state of users and accordingly act in an empathic way. One major research field working on this topic is Affective Computing, where psycho-physiological measures, speech input, and facial expressions are used to sense human emotions.
Affective data allows natural user interfaces to respond to emotions, providing promising perspectives not only for user experience design but also for safety aspects. In automotive environments, informed estimations of the driver’s state can potentially avoid dangerous errors and evoking positive emotions can improve the experience of driving.
This dissertation explores Affective Automotive User Interfaces using two basic interaction paradigms: firstly, emotion regulation systems react to the current emotional state of the user based on live sensing data, allowing for quick interventions. Secondly, emotional interaction synthesizes experiences which resonate with the user on an emotional level. The constituted goals of these two interaction approaches are the promotion of safe behavior and an improvement of user experience.
Promoting safe behavior through emotion regulation: Systems which detect and react to the driver’s state are expected to have great potential for improving road safety. This work presents a model and methods needed to investigate such systems and an exploration of several approaches to keep the driver in a safe state. The presented methods include techniques to induce emotions and to sample the emotional state of drivers. Three driving simulator studies investigate the impacts of emotionaware interventions in the form of implicit cues, visual mirroring and empathic speech synthesis. We envision emotion-awareness as a safety feature which can detect if a driver is unfit or in need of support, based on the propagation of robust emotion detection technology.
Improving user experience with emotional interaction: Emotional perception is an essential part of user experience. This thesis entails methods to build emotional experiences derived from a variety of lab and simulator studies, expert feedback, car-storming sessions and design thinking workshops. Systems capable of adapting to the user’s preferences and traits in order to create an emotionally satisfactory user experience do not require the input of emotion detection. They rather create value through general knowledge about the user by adapting the output they generate. During this research, cultural and generational influences became evident, which have to be considered when implementing affective automotive user interfaces in future cars.
We argue that the future of user-aware interaction lies in adapting not only to the driver’s preferences and settings but also to their current state. This paves the way for the regulation of safe behavior, especially in safety-critical environments like cars, and an improvement of the driving experience.Aktuelle Fortschritte in den Bereichen des Machine Learning und Ubiquitous Computing ermöglichen es heute adaptive Mensch-Maschine-Schnittstellen zu realisieren. Vor allem natürliche Interaktion, wie wir sie von Sprachassistenten kennen, profitiert von einem verbesserten Verständnis des Nutzerverhaltens. Zum Beispiel kann ein Assistent mit Informationen über den emotionalen Zustand des Nutzers natürlicher interagieren, vielleicht sogar Empathie zeigen. Affective Computing ist das damit verbundene Forschungsfeld, das sich damit beschäftigt menschliche Emotionen durch Beobachtung von physiologischen Daten, Sprache und Mimik zu erkennen.
Dabei ermöglicht Emotionserkennung natürliche Interaktion auf Basis des Fahrer/innenzustands, was nicht nur vielversprechend in Bezug auf die Gestaltung des Nutzerelebnisses klingt, sondern auch Anwendungen im Bereich der Verkehrssicherheit hat. Ein Einsatz im Fahrkontext könnte so vermeidbare Unfälle verringern und gleichzeitig Fahrer durch emotionale Interaktion begeistern.
Diese Dissertation beleuchtet Affective Automotive User Interfaces – zu Deutsch in etwa Emotionsadaptive Benutzerschnittstellen im Fahrzeug – auf Basis zweier inhaltlicher Säulen: erstens benutzen wir Ansätze zur Emotionsregulierung, um im Falle gefährlicher Fahrerzustände einzugreifen. Zweitens erzeugen wir emotional aufgeladene Interaktionen, um das Nutzererlebnis zu verbessern.
Erhöhte Sicherheit durch Emotionsregulierung: Emotionsadaptiven Systemen wird ein großes Potenzial zur Verbesserung der Verkehrssicherheit zugeschrieben. Wir stellen ein Modell und Methoden vor, die zur Untersuchung solcher Systeme benötigt werden und erforschen Ansätze, die dazu dienen Fahrer in einer Gefühlslage zu halten, die sicheres Handeln erlaubt. Die vorgestellten Methoden beinhalten Ansätze zur Emotionsinduktion und -erkennung, sowie drei Fahrsimulatorstudien zur Beeinflussung von Fahrern durch indirekte Reize, Spiegeln von Emotionen und empathischer Sprachinteraktion. Emotionsadaptive Sicherheitssysteme können in Zukunft beeinträchtigten Fahrern Unterstützung leisten und so den Verkehr sicherer machen, vorausgesetzt die technischen Grundlagen der Emotionserkennung gewinnen an Reife.
Verbesserung des Nutzererlebnisses durch emotionale Interaktion: Emotionen tragen einen großen Teil zum Nutzerlebnis bei, darum ist es nur sinnvoll den zweiten Fokuspunkt dieser Arbeit auf systeminitiierte emotionale Interaktion zu legen.Wir stellen die Ergebnisse nutzerzentrierter Ideenfindung und mehrer Evaluationsstudien der resultierenden Systeme vor. Um sich den Vorlieben und Eigenschaften von Nutzern anzupassen wird nicht zwingend Emotionserkennung benötigt. Der Mehrwert solcher Systeme besteht vielmehr darin, auf Basis verfügbarer Verhaltensdaten ein emotional anspruchsvolles Erlebnis zu ermöglichen. In unserer Arbeit stoßen wir außerdem auf kulturelle und demografische Einflüsse, die es bei der Gestaltung von emotionsadaptiven Nutzerschnittstellen zu beachten gibt.
Wir sehen die Zukunft nutzeradaptiver Interaktion im Fahrzeug nicht in einer rein verhaltensbasierten Anpassung, sondern erwarten ebenso emotionsbezogene Innovationen. Dadurch können zukünftige Systeme sicherheitsrelevantes Verhalten regulieren und gleichzeitig das Fortbestehen der Freude am Fahren ermöglichen
What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces
In this paper we present use cases for affective user interfaces (UIs) in
cars and how they are perceived by potential users in China and Germany.
Emotion-aware interaction is enabled by the improvement of ubiquitous sensing
methods and provides potential benefits for both traffic safety and personal
well-being. To promote the adoption of affective interaction at an
international scale, we developed 20 mobile in-car use cases through an
inter-cultural design approach and evaluated them with 65 drivers in Germany
and China. Our data shows perceived benefits in specific areas of pragmatic
quality as well as cultural differences, especially for socially interactive
use cases. We also discuss general implications for future affective automotive
UI. Our results provide a perspective on cultural peculiarities and a concrete
starting point for practitioners and researchers working on emotion-aware
interfaces
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