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Framework For
Engagement
Nim Dvir
Research Agenda
 Human Computer Interaction
 User Experience (UX)
 Content Strategy & Engagement
 Definition, Model, Measurement,
Characteristics, Automation
Goal: Improve UX, user interaction and
overall communication
User
Experience (UX)
Content Strategy
 “the practice of planning the content creation,
delivery, and governance" (Halvorson & Rach, 2012)
 Applications and Tools:
 content curation
 Content Analysis - metadata, taxonomy, SEO
 Editorial Strategies
 Information Architecture (IA) – Sitemaps,
Wireframes
Research Project
 What is the concept “Engagement”?
 Can engaging text / images be systematically
and automatically identified and evaluated?
 Can we automatically create Engaging Content?
 Goal: Improve UX, user interaction and
overall communication
Why Should You Care?
 Information Age
 You are all under Attack!
 Attention Economy
 You forget 90% of what you hear
 We all want to be memorable / compelling /
engaging
Framework For
Engagement
Engagement Is Everywhere
But… what is it?
Definition - User engagement is…
• “The percentage of people who saw a post that reacted
to, shared, clicked or commented on it” (Facebook’s page
metrics, Facebook.com, 2016)
• “A quality of user experience that depends on the
aesthetic appeal, novelty, and usability of the system, the
ability of the user to attend to and become involved in the
experience, and the user’s overall evaluation of the
experience” (O’Brien & Toms, 2008)
• “The emotional, cognitive and behavioral connection that
exists, at any point in time and possibly over time,
between a user and a resource” (Attafield, 2011)
A Unified Definition:
Energy
Exchange
Attention
Allocation
Cognitive
Load
Engagement = Cognitive Load (Attention)
Model
 O’Brien & Toms, 2010
New model:
 Discovery – Point of Presence – Participation
 Disco – PoP - Party
Discovery
Point of
Presence
Participation
Measurement
 Information retrieval (IR)
metrics
 User Engagement Scale
(UES) (O’Brien & Toms,
2010).
My suggestion:
Cognitive Load - Task-
invoked pupillary
response
Task-invoked Pupillary Response
Attention
Allocation
Simple
Model
Cognitive
Load
To Sum Up
Related Work
 Less Is More
 Sticky Words
Sticky Word: Experiment
 Low Frequency (distinctiveness)
 High Frequency on Imdb.com (Familiarity)
 Sentiment Analysis
 Example:
 Identify Influential Factors in Abandoned Buildings
 Identify Influential Factors in Zombie Buildings
 Goal: Automatic, systematic identification and
replacement
Sticky Words
 Familiar
 Distinctive
 Emotional Value
 = Memorable / Liking
Moving Forward
 Engaging Images
User Engagement: A Cross-Disciplinary Framework (Nim Dvir)

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User Engagement: A Cross-Disciplinary Framework (Nim Dvir)