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1
A Review of the Asymmetric Numeral System and Its Applications to Digital Images
In: Entropy; Volume 24; Issue 3; Pages: 375 (2022)
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2
Multidimensional Coding of Multimodal Languaging in Multi-Party Settings ...
Aliyah Morgenstern; Christophe Parisse. - : NAKALA - https://nakala.fr (Huma-Num - CNRS), 2022
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3
Local Sequence Alignment Experiment (3) ...
Gagniuc, Paul A.. - : figshare, 2022
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4
Local Sequence Alignment Experiment (3) ...
Gagniuc, Paul A.. - : figshare, 2022
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5
Exploring the Neural Correlates of Language Processing in the Psychedelic State ...
Beykoylu, Huseyin. - : Open Science Framework, 2022
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6
Transposed word effect and presentation pairing ...
Elsherif, Mahmoud. - : Open Science Framework, 2022
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7
Transposed word effect and integration ...
Elsherif, Mahmoud. - : Open Science Framework, 2022
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8
MTS-Stega: Linguistic Steganography Based on Multi-Time-Step
In: Entropy; Volume 24; Issue 5; Pages: 585 (2022)
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9
Exploring Measurement through Coding: Children’s Conceptions of a Dynamic Linear Unit with Robot Coding Toys
In: Education Sciences; Volume 12; Issue 2; Pages: 143 (2022)
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10
Visual prediction cues can facilitate behavioural and neural speech processing in young and older adults
In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-03371896 ; Neuropsychologia, Elsevier, 2021, 159, pp.107949. ⟨10.1016/j.neuropsychologia.2021.107949⟩ (2021)
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11
Revisiting how we operationalize joint attention.
Gabouer, Allison; Bortfeld, Heather. - : eScholarship, University of California, 2021
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12
Does the Goal Matter? Emotion Recognition Tasks Can Change the Social Value of Facial Mimicry towards Artificial Agents
In: ISSN: 2296-9144 ; Frontiers in Robotics and AI ; https://hal.archives-ouvertes.fr/hal-03409678 ; Frontiers in Robotics and AI, Frontiers Media S.A., 2021, 8, ⟨10.3389/frobt.2021.699090⟩ (2021)
Abstract: 27 pages, 8 figures, 7 tables (Submitted to Frontiers in Robotics and AI, Human-Robot Interaction) ; International audience ; In this paper, we present a study aimed at understanding whether the embodiment and humanlikeness of an artificial agent can affect people's spontaneous and instructed mimicry of its facial expressions. The study followed a mixed experimental design and revolved around an emotion recognition task. Participants were randomly assigned to one level of humanlikeness (between-subject variable: humanlike, characterlike, or morph facial texture of the artificial agents) and observed the facial expressions displayed by a human (control) and three artificial agents differing in embodiment (within-subject variable: video-recorded robot, physical robot, and virtual agent). To study both spontaneous and instructed facial mimicry, we divided the experimental sessions into two phases. In the first phase, we asked participants to observe and recognize the emotions displayed by the agents. In the second phase, we asked them to look at the agents' facial expressions, replicate their dynamics as closely as possible, and then identify the observed emotions. In both cases, we assessed participants' facial expressions with an automated Action Unit (AU) intensity detector. Contrary to our hypotheses, our results disclose that the agent that was perceived as the least uncanny, and most anthropomorphic, likable, and co-present, was the one spontaneously mimicked the least. Moreover, they show that instructed facial mimicry negatively predicts spontaneous facial mimicry. Further exploratory analyses revealed that spontaneous facial mimicry appeared when participants were less certain of the emotion they recognized. Hence, we postulate that an emotion recognition goal can flip the social value of facial mimicry as it transforms a likable artificial agent into a distractor.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SCCO.COMP]Cognitive science/Computer science; [SCCO.NEUR]Cognitive science/Neuroscience; [SCCO.PSYC]Cognitive science/Psychology; affective computing; anthropomorphism; facial action coding system; facial mimicry; human-agent interaction; human-robot interaction; uncanny valley
URL: https://doi.org/10.3389/frobt.2021.699090
https://hal.archives-ouvertes.fr/hal-03409678
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13
Korean orthographic processing in same-different task ...
Rastle, Kathleen. - : Open Science Framework, 2021
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14
Embedding GitHub Repositories: A Comparative Study of the Python and Java Communities ...
Yutao, Chen. - : University of Chicago, 2021
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15
Emanating confluence: The symbiotic relationship between artificial intelligence and data ...
Gross, Ted. - : figshare, 2021
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16
Emanating confluence: The symbiotic relationship between artificial intelligence and data ...
Gross, Ted. - : figshare, 2021
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17
Transposed word effect and RSVP ...
Elsherif, Mahmoud. - : Open Science Framework, 2021
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18
The Jedi Way: A Linguistic Analysis of Anakin Skywalker's Fall to the Dark Side in Star Wars: The Clone Wars
In: COLA Research and Creativity Conference (2021)
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19
Multisensory Connections of Novel Linguistic Stimuli in Japanese as a Native Language and Referential Tastes
In: European Journal of Investigation in Health, Psychology and Education ; Volume 11 ; Issue 3 ; Pages 74-1010 (2021)
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20
Cultural Variance in Reception and Interpretation of Social Media COVID-19 Disinformation in French-Speaking Regions
In: International Journal of Environmental Research and Public Health; Volume 18; Issue 23; Pages: 12624 (2021)
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