robustness

UK
/rəʊˈbʌstnəs/
US
/roʊˈbʌstnəs/

Biblioteca

to enhance the robustness of UX assessments +3
research
robustesse
solidité
fiabilité
Désigne l’amélioration de la fiabilité des évaluations UX lorsque plusieurs techniques sont combinées.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
technical robustness and safety +1
technology
robustesse
Une exigence technique selon laquelle le système doit fonctionner de manière fiable et résister aux problèmes.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
The importance of trustworthiness is also evidenced by the flourishing of ethical guidelines, of which those developed by the European Commission [27] are a primary reference for their completeness and articulation in seven essential requirements: (1) human agency and oversight, (2) technical robustness and safety, (3) privacy and data governance, (4) transparency, (5) diversity, non-discrimination and fairness, (6) societal and environmental well-being, (7) accountability. +1
technology
robustesse technique et sécurité
Une exigence selon laquelle un système doit fonctionner de manière fiable et sûre, y compris lorsque des erreurs ou des attaques se produisent.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
a good balance between robustness and efficiency +1
engineering
robustesse
Décrit une qualité mise en balance avec l’efficacité lors de la conception de la méthode de discrétisation de surface.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.
Building Digital Twins
It was followed by a Confirmatory Factor Analysis (CFA) to corroborate the iden-tified structure in a new, independent sample, thereby ensuring the robustness and generalizability of the scale.
research
robustesse et généralisabilité
La mesure dans laquelle les résultats sont fiables et peuvent s’appliquer au-delà de l’échantillon ou du contexte précis étudié.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
They highlighted an increase in triangulated tech-niques to enhance the robustness of UX assessments, which is probably related to the higher proportion of field studies over lab studies, granting a more comprehen-sive and contextualized understanding of the UX results.
research
renforcer la robustesse des évaluations UX
Rendre les résultats des évaluations UX plus fiables, souvent en utilisant des méthodes d’évaluation plus solides ou multiples.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
This study develops a method for evaluating the user experience of systems that incorporate artificial intelligence. It examines existing approaches, validates the AIXE evaluation scale and applies it to domestic smart speakers.
User Experience + Artificial Intelligence: Assessing the Qualities of AI-infused Systems
Unlike most existing research, our method explores adaptive surface discretisation, to provide a good balance between robustness and efficiency for elements of various sizes.
engineering
un bon équilibre entre robustesse et efficacité
Un compromis souhaitable qui associe des performances fiables à un fonctionnement efficace.
Building Digital Twins
These conference proceedings present research on building digital twins and the transition to sustainable, resilient built environments. Contributions address building information modelling, indoor environmental assessment, smart sensors, energy performance and related digital technologies.
Building Digital Twins