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Related Concept Videos

Social Exchange Theory01:26

Social Exchange Theory

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As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
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Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...
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Reciprocity in attraction is fundamental to social and romantic relationships, shaping how individuals form and maintain connections. The psychological principle underlying this phenomenon is that people tend to like those who express liking toward them. Balance theory supports this tendency, suggesting that mutual attraction fosters psychological harmony, whereas one-sided affection leads to discomfort and cognitive dissonance.The Psychological Mechanisms Behind ReciprocityWhen individuals...
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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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A Data-Driven Expectation Prediction Framework Based on Social Exchange Theory.

Enguo Cao1, Jinzhi Jiang1, Yanjun Duan1

  • 1Intelligent Interaction Design Laboratory, School of Design, Jiangnan University, Wuxi, China.

Frontiers in Psychology
|January 27, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a data-driven framework to predict user expectations for product and service design improvements. By analyzing consumption data, it helps designers create better offerings based on user needs.

Keywords:
data-driven designexpectation prediction frameworksocial exchange theoryuser commentuser requirement analysis

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Area of Science:

  • Data Science
  • Human-Computer Interaction
  • Consumer Behavior

Background:

  • The proliferation of online platforms generates vast user data, often underutilized for design.
  • Data-driven approaches in requirement engineering are crucial for leveraging this data.
  • Social exchange theory provides a lens to understand user expectations in consumption.

Purpose of the Study:

  • To propose a data-driven expectation prediction framework using social exchange theory.
  • To analyze user expectations and predict design improvements for consumption platforms.
  • To assist designers in making informed design enhancements.

Main Methods:

  • Classified consumption exchange elements into seven categories based on social exchange resources.
  • Combined word frequency statistics and scale surveys for user-generated data analysis.
  • Utilized mathematical expectation formulas to predict user expectations and distinguish explicit/implicit needs.

Main Results:

  • Developed a framework to predict user expectations and identify design improvement opportunities.
  • Demonstrated the framework's feasibility through a case study on a service system improvement.
  • Provided a method to derive reliable design improvement plans by calculating mathematical expectation.

Conclusions:

  • The proposed framework offers valuable insights for data mining in consumption comments.
  • Data-driven expectation prediction can significantly aid designers in enhancing user experience.
  • This study bridges the gap between big data and practical design application in online consumption.