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errors
UK
/ˈɛrəz/
US
/ˈɛrərz/
Library
They revolve around five main aspects: (i) precision and recall—including success and error rates, (ii) information properties—encompassing quality, quantity, coherence, variety and novelty, (iii) processing and functionality, (iv) iteration counts, and (v) speed.
computing
показатели успешности и ошибок
Показатели того, как часто система работает успешно или допускает ошибки.
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.
Once again, smart speakers are a clear example, but many more can be found, like smart fridges with cluttered interfaces, IoT devices that exceedingly rely on voice commands, or vacuum cleaners that do not allow their users to recover from their mapping errors and are mostly regulated by companion apps, ignoring the physical object as a suitable and often more convenient source for interaction.
technology
восстанавливаться после ошибок построения карты
Продолжить использование или исправить ситуацию после ошибок при построении карты устройством.
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.
These situations would require considering measures that account for errors from the very beginning of the design process.
technology
учитывать ошибки
Принимать возможные ошибки во внимание при планировании или проектировании.
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.
They will apprehend by trial-and-error (reinforcement learning).
technology
методом проб и ошибок
Пробуя разные способы и учась на результатах, а не следуя заданным правилам.
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.
These systems still need human assistance and are prone to errors and misunderstandings.
technology
склонны к ошибкам и недопониманию
Часто допускают ошибки или становятся причиной недопонимания.
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.
On the other, ML systems have a probabilistic core, hence, as small as it can be, they are always subject to a certain margin of error, which is something that should be clearly and openly communicated as it inevitably affects the UX
technology
подвержены определённой погрешности
О результатах, которые могут отличаться от точного или правильного значения на некоторую величину.
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.
any errors or omissions that may have been made
law
ошибки или упущения
Ошибки или сведения, которые были пропущены.
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.
BIM design is underused, increasing the risk of design errors.
construction
ошибки
В данном случае — ошибки, допущенные при проектировании.
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.
Over multiple training scenarios, if trainees can consistently replicate procedures without errors, then it is likely that the trainee has achieved a standard of competence necessary for real world application [14, 15].
education
без ошибок
Так, что не содержит ошибок.
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.
BIM design is underused, increasing the risk of design errors.
construction
ошибки проектирования
Ошибки, допущенные при разработке проекта.
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.
The simulation results in increased temperature tracking errors as it encompasses larger areas.
engineering
увеличение ошибок отслеживания температуры
Рост ошибок при отслеживании или прогнозировании температуры.
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.
where RMSD is the root-mean square deviation error, Tz max and Tz min the maximum and minimum temperature in the interval respectively.
engineering
ошибка среднеквадратичного отклонения
Показатель ошибки RMSD, определённый здесь как мера отклонения температуры за интервал.
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.