Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Y. Lee

doi:10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2

Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Y. Lee

Web Information Systems

Research output: Thesis › Dissertation (TU Delft)

166 Downloads (Pure)

Abstract

E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning platforms and digital devices have accelerated the adoption of e-learning , and now, it plays a central role in formal and informal education.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Specht, Marcus, Supervisor Migut, M.A., Advisor
Award date	27 Feb 2024
Print ISBNs	978-94-6366-824-8
DOIs	https://doi.org/10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2
Publication status	Published - 2024

Keywords

Machine learning
Deep learning
Computer vision
Multimodal reasoning
Learning Analytics
Human Attention
E-reading
Real-time feedback loop
Human-Robot Interaction (HRI)
Human-Computer Interaction (HCI)

Access to Document

10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2

Yoon_PhD_thesis_digital_compressedFinal published version, 4.88 MB

Cite this

@phdthesis{764408e472c14cf98bff1ce20b8944b2,

title = "Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading",

abstract = "E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning platforms and digital devices have accelerated the adoption of e-learning , and now, it plays a central role in formal and informal education.",

keywords = "Machine learning, Deep learning, Computer vision, Multimodal reasoning, Learning Analytics, Human Attention, E-reading, Real-time feedback loop, Human-Robot Interaction (HRI), Human-Computer Interaction (HCI)",

author = "Y. Lee",

year = "2024",

doi = "10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2",

language = "English",

isbn = "978-94-6366-824-8",

type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

}

TY - THES

T1 - Interactive Intelligence

T2 - Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

AU - Lee, Y.

PY - 2024

Y1 - 2024

N2 - E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning platforms and digital devices have accelerated the adoption of e-learning , and now, it plays a central role in formal and informal education.

AB - E-learning has shifted the traditional learning paradigms in higher education, offering more flexible, ubiquitous, and personalized learning experiences. The previous years COVID-19 pandemic required a re-calibration of education to accommodate virtual learning environments from the traditional classroom-based education. Widespread learning platforms and digital devices have accelerated the adoption of e-learning , and now, it plays a central role in formal and informal education.

KW - Machine learning

KW - Deep learning

KW - Computer vision

KW - Multimodal reasoning

KW - Learning Analytics

KW - Human Attention

KW - E-reading

KW - Real-time feedback loop

KW - Human-Robot Interaction (HRI)

KW - Human-Computer Interaction (HCI)

U2 - 10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2

DO - 10.4233/uuid:764408e4-72c1-4cf9-8bff-1ce20b8944b2

M3 - Dissertation (TU Delft)

SN - 978-94-6366-824-8

ER -

Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Abstract

Keywords

Access to Document

Fingerprint

Cite this