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Persuasive Technology

Overview of attention for book
Cover of 'Persuasive Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Tailoring Web Pages for Persuasion on Prevention Topics: Message Framing, Color Priming, and Gender
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    Chapter 2 Supporting Users in Setting Effective Goals in Activity Tracking
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    Chapter 3 Persuasive and Culture-Aware Feedback Acquisition
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    Chapter 4 Crowd-Designed Motivation: Combining Personality and the Transtheoretical Model
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    Chapter 5 The EDIE Method – Towards an Approach to Collaboration-Based Persuasive Design
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    Chapter 6 Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes
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    Chapter 7 Captology and Technology Appropriation: Unintended Use as a Source for Designing Persuasive Technologies
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    Chapter 8 Self-Reflecting and Mindfulness: Cultivating Curiosity and Decentering Situated in Everyday Life
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    Chapter 9 Alcohol Behaviour Change: Lessons Learned from User Reviews of iTunes Apps
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    Chapter 10 Persuasive Strategies to Improve Driving Behaviour of Elderly Drivers by a Feedback Approach
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    Chapter 11 Creating Awareness of Sleep-Wake Hours by Gamification
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    Chapter 12 Cicero: Middleware for Developing Persuasive Mobile Applications
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    Chapter 13 Formalization of Computational Human Behavior Models for Contextual Persuasive Technology
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    Chapter 14 The Persuasive Potential Questionnaire (PPQ): Challenges, Drawbacks, and Lessons Learned
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    Chapter 15 Persuasive Practices: Learning from Home Security Advisory Services
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    Chapter 16 Persuasive Patterns in Q&A Social Networks
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    Chapter 17 Utilizing a Digital Game as a Mediatory Artifact for Social Persuasion to Prevent Speeding
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    Chapter 18 Smile Catcher: Can Game Design Lead to Positive Social Interactions?
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    Chapter 19 More than Sex: The Role of Femininity and Masculinity in the Design of Personalized Persuasive Games
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    Chapter 20 A Gamified Solution to Brief Interventions for Nightlife Well-Being
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    Chapter 21 Long-Term Effects of Computerized Simulations in Protracted Conflicts: The Case of Global Conflicts
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    Chapter 22 Understanding Changes in the Motivation of Stroke Patients Undergoing Rehabilitation in Hospital
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    Chapter 23 Developing a Virtual Coach for Chronic Patients: A User Study on the Impact of Similarity, Familiarity and Realism
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    Chapter 24 Improving Adherence in Automated e-Coaching
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    Chapter 25 Online Peer Groups as a Persuasive Tool to Combat Digital Addiction
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    Chapter 26 Red Radiators Versus Red Tulips: The Influence of Context on the Interpretation and Effectiveness of Color-Based Ambient Persuasive Technology
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    Chapter 27 Investigating Politeness Strategies and Their Persuasiveness for a Robotic Elderly Assistant
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    Chapter 28 RightOnTime: The Role of Timing and Unobtrusiveness in Behavior Change Support Systems
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    Chapter 29 Persuasive Information Security: Techniques to Help Employees Protect Organizational Information Security
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    Chapter 30 Lock Up the Lighter: Experience Prototyping of a Lively Reflective Design for Smoking Habit Control
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    Chapter 31 Erratum to: Self-Reflecting and Mindfulness: Cultivating Curiosity and Decentering Situated in Everyday Life
Attention for Chapter 6: Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
twitter
9 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
145 Mendeley
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Chapter title
Persuasive Backfiring: When Behavior Change Interventions Trigger Unintended Negative Outcomes
Chapter number 6
Book title
Persuasive Technology
Published in
Lecture notes in computer science, March 2016
DOI 10.1007/978-3-319-31510-2_6
Book ISBNs
978-3-31-931509-6, 978-3-31-931510-2
Authors

Agnis Stibe, Brian Cugelman, Stibe, Agnis, Cugelman, Brian

Editors

Alexander Meschtscherjakov, Boris De Ruyter, Verena Fuchsberger, Martin Murer, Manfred Tscheligi

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Argentina 1 <1%
Brazil 1 <1%
Unknown 142 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 25%
Student > Master 27 19%
Student > Bachelor 15 10%
Researcher 13 9%
Other 7 5%
Other 22 15%
Unknown 25 17%
Readers by discipline Count As %
Psychology 30 21%
Computer Science 25 17%
Social Sciences 16 11%
Business, Management and Accounting 8 6%
Economics, Econometrics and Finance 7 5%
Other 27 19%
Unknown 32 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2021.
All research outputs
#1,716,610
of 23,607,611 outputs
Outputs from Lecture notes in computer science
#283
of 8,156 outputs
Outputs of similar age
#29,109
of 300,951 outputs
Outputs of similar age from Lecture notes in computer science
#5
of 216 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,951 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.