Bingjie Liu, Jin Kang, Lewen Wei

Artificial intelligence and perceived effort in relationship maintenance: Effects on relationship satisfaction and uncertainty

  • Sociology and Political Science
  • Developmental and Educational Psychology
  • Communication
  • Social Psychology
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Maintaining satisfying close relationships is important for individuals’ well-being. In the digital age, artificial intelligence (AI) has growing applications for relationship maintenance and thus implications for relational well-being. We hypothesize that although using AI to help with relational maintenance may reduce an individual’s effort, their partner may perceive AI-augmented activities negatively. According to the investment model and equity theory, perceptions of diminished effort in a relationship may lead to less satisfaction and greater uncertainty about the partner’s involvement in the relationship. In an online experiment, we presented participants ( N = 208) with hypothetical scenarios of relational maintenance initiated by a fictional close friend, with a 3 (agency: self-without-augmentation vs. AI-augmented vs. human-augmented) × 3 (relational task: support-giving vs. advice-giving vs. birthday celebration) between-subjects design. Compared to the self-without-augmentation condition (i.e., the control condition) where the friend completed a relational task with no external aid, using AI assistance led participants to perceive the friend expended less effort, reducing participants’ relationship satisfaction and increasing uncertainty. Getting help from another person was not significantly different from using AI in terms of perceived partner effort, relationship satisfaction, uncertainty, and perceived appropriateness. We discuss the implications of the findings for relational maintenance and technology-mediated communication.

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