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Social Computing and Social Media. Technologies and Analytics

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Cover of 'Social Computing and Social Media. Technologies and Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Use of Social Media in Education from Learners Perspective
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    Chapter 2 Development of Methods to Enhance Staff Members’ Chats in Refresh Areas in Workplaces for Encouraging Their Knowledge Sharing
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    Chapter 3 Rewarding Fitness Tracking—The Communication and Promotion of Health Insurers’ Bonus Programs and the Use of Self-tracking Data
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    Chapter 4 Motivations to Join Fitness Communities on Facebook: Which Gratifications Are Sought and Obtained?
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    Chapter 5 Conversation Envisioning to Train Inter-cultural Interactions
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    Chapter 6 Gamification Design Framework for Mobile Health: Designing a Home-Based Self-management Programme for Patients with Chronic Heart Failure
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    Chapter 7 The Impact of Gamification in Social Live Streaming Services
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    Chapter 8 Proposal of Learning Support SNS Utilizing Gamification
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    Chapter 9 Because It’s Good for My Feeling of Self-worth: Testing the Expanded Theory of Planned Behavior to Predict Greek Users’ Intention to Review Mobile Apps
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    Chapter 10 Stay Connected and Keep Motivated: Modeling Activity Level of Exercise in an Online Fitness Community
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    Chapter 11 Application of Social Network Analytics to Assessing Different Care Coordination Metrics
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    Chapter 12 Personality Based Recipe Recommendation Using Recipe Network Graphs
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    Chapter 13 Identifying Communities in Social Media with Deep Learning
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    Chapter 14 Investigating the Generation- and Gender-Dependent Differences in Social Media Use: A Cross-Cultural Study in Germany, Poland and South Africa
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    Chapter 15 Interactions of Twitch Users and Their Usage Behavior
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    Chapter 16 Does Age Influence the Way People Interact with Social Live Streaming Services?
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    Chapter 17 A Text Analysis Based Method for Obtaining Credibility Assessment of Chinese Microblog Users
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    Chapter 18 An Experience of Textual Evaluation Using the MALTU Methodology
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    Chapter 19 Early Tracking of People’s Reaction in Twitter for Fast Reporting of Damages in the Mercalli Scale
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    Chapter 20 Use of Personal Color and Purchasing Patterns for Distinguishing Fashion Sensitivity
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    Chapter 21 Multimodal Negative-Attitude Recognition Toward Automatic Conflict-Scene Detection in Negotiation Dialog
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    Chapter 22 Speed Dating and Self-image
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    Chapter 23 Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017
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    Chapter 24 Evaluation of Network Structure Using Similarity of Posts on Twitter
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    Chapter 25 Estimating Speaker’s Engagement from Non-verbal Features Based on an Active Listening Corpus
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    Chapter 26 Designing SADD: A Social Media Agent for the Detection of the Deceased
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    Chapter 27 Human Factors in the Age of Algorithms. Understanding the Human-in-the-loop Using Agent-Based Modeling
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    Chapter 28 Personalized Emotion-Aware Video Streaming for the Elderly
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    Chapter 29 Automatically Generating Head Nods with Linguistic Information
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    Chapter 30 Reducing Interactions in Social Media: A Mathematical Approach
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    Chapter 31 Pointing Estimation for Human-Robot Interaction Using Hand Pose, Verbal Cues, and Confidence Heuristics
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    Chapter 32 Opportunistic Work-Rest Scheduling for Productive Aging
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    Chapter 33 A Model for Information Behavior Research on Social Live Streaming Services (SLSSs)
Attention for Chapter 3: Rewarding Fitness Tracking—The Communication and Promotion of Health Insurers’ Bonus Programs and the Use of Self-tracking Data
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Chapter title
Rewarding Fitness Tracking—The Communication and Promotion of Health Insurers’ Bonus Programs and the Use of Self-tracking Data
Chapter number 3
Book title
Social Computing and Social Media. Technologies and Analytics
Published by
Springer, Cham, July 2018
DOI 10.1007/978-3-319-91485-5_3
Book ISBNs
978-3-31-991484-8, 978-3-31-991485-5
Authors

Maria Henkel, Tamara Heck, Julia Göretz, Henkel, Maria, Heck, Tamara, Göretz, Julia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 16 31%
Student > Ph. D. Student 6 12%
Researcher 5 10%
Lecturer 3 6%
Student > Bachelor 3 6%
Other 7 13%
Unknown 12 23%
Readers by discipline Count As %
Computer Science 19 37%
Social Sciences 4 8%
Business, Management and Accounting 3 6%
Economics, Econometrics and Finance 3 6%
Medicine and Dentistry 2 4%
Other 6 12%
Unknown 15 29%