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Digital Transformation of Collaboration

Overview of attention for book
Cover of 'Digital Transformation of Collaboration'

Table of Contents

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    Book Overview
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    Chapter 1 “No Pain No Gain”: Predicting Creativity Through Body Signals
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    Chapter 2 Using Body Signals and Facial Expressions to Study the Norms that Drive Creative Collaboration
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    Chapter 9 The Political Debate on Immigration in the Election Campaigns in Europe
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    Chapter 10 Brand Intelligence Analytics
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    Chapter 11 Finding Patterns Between Religions and Emotions
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    Chapter 13 Digital Coworker: Human-AI Collaboration in Work Environment, on the Example of Virtual Assistants for Management Professions
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    Chapter 14 Collaborative Innovation Network in Robotics
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    Chapter 15 Fantastic Interfaces and Where to Regulate Them: Three Provocative Privacy Reflections on Truth, Deception and What Lies Between
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    Chapter 18 Combining Social Capital and Geospatial Analysis to Measure the Boston’s Opioid Epidemic
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    Chapter 19 Reward-Based Crowdfunding as a Tool to Constitute and Develop Collaborative Innovation Networks (COINs)
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    Chapter 20 An Ecosystem for Collaborative Pattern Language Acquisition
Attention for Chapter 15: Fantastic Interfaces and Where to Regulate Them: Three Provocative Privacy Reflections on Truth, Deception and What Lies Between
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Readers on

mendeley
6 Mendeley
Summary
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Chapter title
Fantastic Interfaces and Where to Regulate Them: Three Provocative Privacy Reflections on Truth, Deception and What Lies Between
Chapter number 15
Book title
Digital Transformation of Collaboration
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-48993-9_15
Book ISBNs
978-3-03-048992-2, 978-3-03-048993-9
Authors

Gianluigi M. Riva, Riva, Gianluigi M.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Unknown 2 33%

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