Conference
Banquet and Reception: 18:30-22:00, August 26,
2024.
Banquet Location: Sant’angelo, San Marco
, Venice, Metropolitan City of Venice, Italy
Address: P.za San
Marco, 30100 Venezia VE, Italy
(Registered participants only, dress is
business casual)
Scientific and Technical Sessions: August
27-28, 2024
Location: IUAV University
of Venice
Address: Calle de la Laca,
2468, 30125 Venezia VE, Italy
The
Preliminary Program will be posted March 20,
2024, the program (technical sessions and
rooms) are subject to change. If you have an
update to your presentation title or
co-authors, please contact Conference
Administration with
a detailed message at admin@ihiet.org
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August
27, 2024
9:00 - 10:00 CEST |
Plenary:
Human–computer Interaction
Plenary
Speech: Understanding
“Searching as Learning” in the AI Era
Dr.
Chei Sian Lee, Nanyang Technological
University, Singapore
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Speaker
Bio: Dr.
Chei Sian Lee is currently an Associate
Professor at the Wee Kim Wee School of
Communication and Information at the Nanyang
Technological University in Singapore, where
she is also the Associate Chair (Faculty). She
is actively involved in research on issues
related to everyday user-information
interaction at work, school or play. Specifically,
her research focuses on how digital and
emerging technologies can be designed to
facilitate everyday user-information exchanges
and be used to change social behaviors,
benefit communities, and create social good.
She has been involved in several funded
projects in varying capacities as principal
investigator, co-investigator and
collaborator. More recently, she has been
investigating the deepfakes phenomena from an
information-oriented perspective. Her work has
been widely published in international
journals including Journal of Educational
Computing Research, Journal of the Association
for Information Science and Technology,
Computers and Education, Computers in Human
Behavior and New Media and Society. Dr Lee is
currently on the Editorial Advisory Board for
Computers and Education, Online Information
Review, The Electronic Library and Journal for
STEM Education Research. Dr Lee received her
B.Sc. and M.Sc. degrees in Computer and
Information Sciences from the National
University of Singapore and her PhD in
Management Information Systems from the
University of Illinois at Chicago, Liautaud
Graduate School of Business. |
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Summary
of Speech: Searching as Learning (SAL), a
learning process with potential knowledge gain
that occurs during searches in a digital
environment, is an emerging field in
human-computer interaction (HCI) research,
especially with the recent technological
advancements such as generative artificial
intelligence (GAI). Many studies have
investigated SAL’s learning perspective and
facets supported by traditional search systems,
such as web search engines, to access, search,
and retrieve information to fulfill users’
learning intentions. The impacts of GAI and
emerging technologies and their disruption to
the existing SAL process need to be clarified.
This presentation presents a series of studies
related to SAL and to understand how GAI can
help learners during SAL.
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Hybrid conference program schedule is listed in
Central European Summer Time (CEST) - Venice
Timezone
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Conference
Scientific Program