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Symbiotic Interaction

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Cover of 'Symbiotic Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Definition of Symbiotic Relations Between Humans and Machines
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    Chapter 2 Adapting the System to Users Based on Implicit Data: Ethical Risks and Possible Solutions
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    Chapter 3 Total Immersion: Designing for Affective Symbiosis in a Virtual Reality Game with Haptics, Biosensors, and Emotive Agents
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    Chapter 4 Analysis of the Human-Computer Interaction on the Example of Image-Based CAPTCHA by Association Rule Mining
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    Chapter 5 The “NeuroDante Project”: Neurometric Measurements of Participant’s Reaction to Literary Auditory Stimuli from Dante’s “Divina Commedia”
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    Chapter 6 A Biosymtic (Biosymbiotic Robotic) Approach to Human Development and Evolution
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    Chapter 7 Interactive Content-Based Image Retrieval with Deep Neural Networks
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    Chapter 8 Finding Kairos: The Influence of Context-Based Timing on Compliance with Well-Being Triggers
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    Chapter 9 Maritime Cognitive Workload Assessment
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    Chapter 10 How Human-Mouse Interaction can Accurately Detect Faked Responses About Identity
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    Chapter 11 Prediction of Difficulty Levels in Video Games from Ongoing EEG
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    Chapter 12 Investigating Tactile Stimulation in Symbiotic Systems
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    Chapter 13 Towards Interactional Symbiosis: Epistemic Balance and Co-presence in a Quantified Self Experiment
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    Chapter 14 Digital Me: Controlling and Making Sense of My Digital Footprint
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    Chapter 15 A User-Friendly Dictionary-Supported SSVEP-based BCI Application
Attention for Chapter 12: Investigating Tactile Stimulation in Symbiotic Systems
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Chapter title
Investigating Tactile Stimulation in Symbiotic Systems
Chapter number 12
Book title
Symbiotic Interaction
Published by
Springer, Cham, September 2016
DOI 10.1007/978-3-319-57753-1_12
Book ISBNs
978-3-31-957752-4, 978-3-31-957753-1

Valeria Orso, Renato Mazza, Luciano Gamberini, Ann Morrison, Walther Jensen

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unspecified 1 33%