Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

13.1K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.1K
Relationship Formation02:12

Relationship Formation

41.8K
What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
41.8K
In- and Out-Groups01:31

In- and Out-Groups

40.6K
People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
40.6K
Robbers Cave04:49

Robbers Cave

14.4K
During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...
14.4K
Factors Influencing Attraction III: Similarity01:23

Factors Influencing Attraction III: Similarity

22
The similarity hypothesis suggests that individuals are more likely to form relationships with others who share similar attitudes, beliefs, values, and interests. This concept has been widely studied in social psychology, demonstrating that perceived similarity fosters interpersonal attraction. In an experiment supporting this hypothesis, participants were presented with fabricated information indicating that strangers held attitudes similar to their own. The results showed that participants...
22
Group Design02:01

Group Design

9.8K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Smartphone-Based Psychological Intervention for Nonsuicidal Self-Injury (Kalmer App): Protocol for a Multicenter Double-Blind Randomized Controlled Trial.

JMIR research protocols·2026
Same author

Wind turbine database for intelligent operation and maintenance strategies.

Scientific data·2024
Same author

Real-time estimation of EEG-based engagement in different tasks.

Journal of neural engineering·2024
Same author

Early prediction of dementia using fMRI data with a graph convolutional network approach.

Journal of neural engineering·2024
Same author

Special Issue "Machine Learning Methods for Biomedical Data Analysis".

Sensors (Basel, Switzerland)·2023
Same author

Effect of Foot Orthoses on Angular Velocity of Feet.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Oct 7, 2025

Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.6K

Clustering Users to Determine the Most Suitable Gamification Elements.

Alejandro Blanco-M1, Ruth S Contreras-Espinosa1, Jordi Solé-Casals1

  • 1Data and Signal Processing Group, University of Vic-Central University of Catalonia, c/de la Laura 13, 08500 Vic, Catalonia, Spain.

Sensors (Basel, Switzerland)
|January 11, 2022
PubMed
Summary

This study introduces a clustering technique to match user profiles with preferred gamification elements in public services. It helps designers select appropriate elements and understand user engagement with game genres.

Keywords:
clusteringgame elementsgame genregamificationuser profile

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K

Related Experiment Videos

Last Updated: Oct 7, 2025

Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.6K
The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.5K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K

Area of Science:

  • Human-Computer Interaction
  • Service Design
  • Gamification Studies

Background:

  • Gamification elements are increasingly used in public services to enhance user motivation.
  • Service designers face challenges in selecting appropriate gamification elements for diverse audiences and avoiding incompatibilities.

Purpose of the Study:

  • To propose a clustering technique for mapping user profiles to preferred gamification elements.
  • To identify relationships between game genres and gamification elements.
  • To determine user groups associated with specific gamification elements.

Main Methods:

  • A novel clustering technique was developed to analyze user preferences for gamification elements.
  • User profiles were mapped based on their engagement with different gamification elements.
  • The relationship between gamification elements and preferred game genres was investigated.

Main Results:

  • The study identified distinct user profiles based on their preferred gamification elements.
  • Analysis revealed varying user agreement levels for different gamification elements.
  • A correlation was found between specific gamification elements and preferred game genres, indicating heterogeneity in user responses.

Conclusions:

  • The proposed clustering technique effectively maps user profiles to gamification elements, aiding service design.
  • Understanding user-gamification element relationships can inform the selection of appropriate game genres for public services.
  • The findings highlight the need for tailored gamification strategies considering diverse user preferences and engagement patterns.