Results 11 to 20 of about 622,530 (302)

Interrogating Alexa [PDF]

open access: yesProceedings of the 39th ACM International Conference on Design of Communication, 2021
This paper reports on a preliminary comparative study of Alexa, Siri, and Google Assistant voice assistants (VA) that explores the origins of answers provided on each platform in an attempt to determine the extent that these origins influence responses. Questions were selected from Text Recognition (TREC) 2017 Live Question Answering (QA) Track Data, a
openaire   +1 more source

Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing

open access: yesInformation, 2022
Fact-checking systems have become important tools to verify fake and misguiding news. These systems become more trustworthy when human-readable explanations accompany the veracity labels.
Shailza Jolly   +2 more
doaj   +1 more source

Mechanisms and advancement of antifading agents for fluorescence microscopy and single-molecule spectroscopy [PDF]

open access: yes, 2011
Modern fluorescence microscopy applications go along with increasing demands for the employed fluorescent dyes. In this work, we compared antifading formulae utilizing a recently developed reducing and oxidizing system (ROXS) with commercial antifading ...
Aitken   +44 more
core   +5 more sources

Quantitative assessment of antibody internalization with novel monoclonal antibodies against Alexa fluorophores. [PDF]

open access: yesPLoS ONE, 2015
Antibodies against cell surface antigens may be internalized through their specific interactions with these proteins and in some cases may induce or perturb antigen internalization.
Sindy Liao-Chan   +8 more
doaj   +1 more source

Collecting Food and Drink Intake Data With Voice Input: Development, Usability, and Acceptability Study

open access: yesJMIR mHealth and uHealth, 2023
BackgroundVoice-based systems such as Amazon Alexa may be useful for collecting self-reported information in real time from participants of epidemiology studies using verbal input.
Louise A C Millard   +5 more
doaj   +1 more source

Are you listening? – an observational wake word privacy study [PDF]

open access: yesOrganizational Cybersecurity Journal, 2022
Purpose – Digital voice assistants use wake word engines (WWEs) to monitor surrounding audio for detection of the voice assistant's name. There are two failed conditions for a WWE, false negative and false positive.
Marcia Combs   +2 more
doaj   +1 more source

Affective Ecologies: Empathy, Emotion, and Environmental Narrative by Alexa Weik von Mossner [PDF]

open access: yes, 2018
Review of Alexa Weik von Mossner\u27s Affective Ecologies: Empathy, Emotion, and Environmental ...
Tagnani, David
core   +2 more sources

Caricature as a source for the industrial designer in designing a smart personal assistant [PDF]

open access: yesJournal of Architecture, Art & Humanistic Science
With the wide technological development in robot design and with its many applications in different fields and its appearance in the form of a personal assistant in many fields, homes, hospitals, commercial centers, and others, this creates a new field ...
Fatma Hendy
doaj   +1 more source

WISE: a computer system performance index scoring framework

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2021
The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources.
Lorenzo Luciano   +4 more
doaj   +1 more source

Interactions between voice-activated AI assistants and human speakers and their implications for second-language acquisition

open access: yesFrontiers in Communication, 2022
Voice-activated artificially intelligent (voice-AI) assistants, such as Alexa, are remarkably effective at processing spoken commands by native speakers. What happens when the command is produced by an L2 speaker?
Jae Yung Song   +3 more
doaj   +1 more source

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