IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v26y2024i1d10.1007_s10796-022-10324-y.html
   My bibliography  Save this article

The Effects of Intimacy and Proactivity on Trust in Human-Humanoid Robot Interaction

Author

Listed:
  • Shih-Yi Chien

    (National Chengchi University)

  • Yi-Ling Lin

    (National Chengchi University)

  • Bu-Fang Chang

    (National Chengchi University)

Abstract

Social humanoid robots (SHRs) have been widely applied in diverse contexts to enhance human–robot interaction by imitating humanlike behavior. Previous studies have utilized a variety of design features to explore the influence of human–robot relationships, but the robot’s communication scheme when providing assistance during the interaction is rarely discussed. The purpose of this study is to investigate which SHR communication approaches are more favorable for users, where different levels of social manner (proactive vs. reactive) and types of expressive behavior (intimate vs. impassive) are developed and empirically validated. A total of 273 participants were recruited for our user studies, and two online survey sessions were conducted to simulate an online shopping experience. During the experiments, an SHR (the Pepper robot) was used to provide the associated services to the participants (such as providing recommendations or subjective opinions regarding a chosen product). The preliminary study confirmed that the manipulations designed for each experimental condition were valid. In the formal study, the results revealed strong evidence that both the SHR’s social manner and its expressive behavior significantly influence participant perceptions of robots and the resultant HRI experience.

Suggested Citation

  • Shih-Yi Chien & Yi-Ling Lin & Bu-Fang Chang, 2024. "The Effects of Intimacy and Proactivity on Trust in Human-Humanoid Robot Interaction," Information Systems Frontiers, Springer, vol. 26(1), pages 75-90, February.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:1:d:10.1007_s10796-022-10324-y
    DOI: 10.1007/s10796-022-10324-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10324-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-022-10324-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:26:y:2024:i:1:d:10.1007_s10796-022-10324-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.