909 research outputs found
Layered evaluation of interactive adaptive systems : framework and formative methods
Peer reviewedPostprin
Usable Interface Design for Everyone
En el diseño de "interfaces para todo el mundo" para los sistemas interactivos, es importante tener en cuenta factores como el costo, el mercado de destino, el estado del medio ambiente,etc. Los interfaces de usuario son fundamentales para el proceso de desarrollo de cualquier aplicación, y su diseño debe estar contemplado desde el principio. De las distintas partes de un sistema (hardware y software), es la interfaz el sistema que permite al usuario el acceso a los recursos informáticos. Los siete principios del "Diseño Universal" o "Diseño para Todos" se centran en un diseño utilizable universal, pero al mismo tiempo reconocer la influencia de factores internos y externos. Los cambios estructurales en los servicios sociales y de salud podrían proporcionar un aumento en el bienestar de los ciudadanos de un país a través del uso de la programación de auto-cuidado y la gestión proactiva / prevención de la enfermedad. Plataformas automatizadas en el hogar pueden actuar como un instrumento que permitan a los usuarios evitar, compensar, mitigar o neutralizar las deficiencias y las dependencias causada por el envejecimiento.When designing “interfaces for everyone” for interactive systems, it
is important to consider factors such as cost, the intended market, the state of
the environment, etc. User interfaces are fundamental for the developmental
process in any application, and its design must be contemplated from the start.
Of the distinct parts of a system (hardware and software), it is the interface that
permits the user access to computer resources. The seven principles of
“Universal Design” or “Design for Everyone” focus on a universal usable
design, but at the same time acknowledge the influences of internal and external
factors. Structural changes in social and health services could provide an
increase in the well-being of a country’s citizens through the use of self-care
programming and proactive management/prevention of disease. Automated
home platforms can act as an accessibility instrument which permits users to
avoid, compensate, mitigate, or neutralize the deficiencies and dependencies
caused by living alon
On the Development of Adaptive and User-Centred Interactive Multimodal Interfaces
Multimodal systems have attained increased attention in recent years, which has made possible important
improvements in the technologies for recognition, processing, and generation of multimodal information.
However, there are still many issues related to multimodality which are not clear, for example, the
principles that make it possible to resemble human-human multimodal communication. This chapter
focuses on some of the most important challenges that researchers have recently envisioned for future
multimodal interfaces. It also describes current efforts to develop intelligent, adaptive, proactive, portable
and affective multimodal interfaces
Hesitations in Spoken Dialogue Systems
Betz S. Hesitations in Spoken Dialogue Systems. Bielefeld: Universität Bielefeld; 2020
Affective Medicine: a review of Affective Computing efforts in Medical Informatics
Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”. AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain. Objectives: 1) To review the general state of the art in AC and its applications in medicine, and 2) to establish synergies between the research communities of AC and medical informatics. Methods: Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples. Results: The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, AmI, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged. Conclusions: A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field
Individual and Domain Adaptation in Sentence Planning for Dialogue
One of the biggest challenges in the development and deployment of spoken
dialogue systems is the design of the spoken language generation module. This
challenge arises from the need for the generator to adapt to many features of
the dialogue domain, user population, and dialogue context. A promising
approach is trainable generation, which uses general-purpose linguistic
knowledge that is automatically adapted to the features of interest, such as
the application domain, individual user, or user group. In this paper we
present and evaluate a trainable sentence planner for providing restaurant
information in the MATCH dialogue system. We show that trainable sentence
planning can produce complex information presentations whose quality is
comparable to the output of a template-based generator tuned to this domain. We
also show that our method easily supports adapting the sentence planner to
individuals, and that the individualized sentence planners generally perform
better than models trained and tested on a population of individuals. Previous
work has documented and utilized individual preferences for content selection,
but to our knowledge, these results provide the first demonstration of
individual preferences for sentence planning operations, affecting the content
order, discourse structure and sentence structure of system responses. Finally,
we evaluate the contribution of different feature sets, and show that, in our
application, n-gram features often do as well as features based on higher-level
linguistic representations
Game-inspired Pedagogical Conversational Agents: A Systematic Literature Review
Pedagogical conversational agents (PCAs) are an innovative way to help learners improve their academic performance via intelligent dialog systems. However, PCAs have not yet reached their full potential. They often fail because users perceive conversations with them as not engaging. Enriching them with game-based approaches could contribute to mitigating this issue. One could enrich a PCA with game-based approaches by gamifying it to foster positive effects, such as fun and motivation, or by integrating it into a game-based learning (GBL) environment to promote effects such as social presence and enable individual learning support. We summarize PCAs that are combined with game-based approaches under the novel term “game-inspired PCAs”. We conducted a systematic literature review on this topic, as previous literature reviews on PCAs either have not combined the topics of PCAs and GBL or have done so to a limited extent only. We analyzed the literature regarding the existing design knowledge base, the game elements used, the thematic areas and target groups, the PCA roles and types, the extent of artificial intelligence (AI) usage, and opportunities for adaptation. We reduced the initial 3,034 records to 50 fully coded papers, from which we derived a morphological box and revealed current research streams and future research recommendations. Overall, our results show that the topic offers promising application potential but that scholars and practitioners have not yet considered it holistically. For instance, we found that researchers have rarely provided prescriptive design knowledge, have not sufficiently combined game elements, and have seldom used AI algorithms as well as intelligent possibilities of user adaptation in PCA development. Furthermore, researchers have scarcely considered certain target groups, thematic areas, and PCA roles. Consequently, our paper contributes to research and practice by addressing research gaps and structuring the existing knowledge base
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