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.

    References listed on IDEAS

    as
    1. repec:plo:pone00:0072589 is not listed on IDEAS
    2. Johnson, Devon & Grayson, Kent, 2005. "Cognitive and affective trust in service relationships," Journal of Business Research, Elsevier, vol. 58(4), pages 500-507, April.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Li, Manning & Mao, Jiye, 2015. "Hedonic or utilitarian? Exploring the impact of communication style alignment on user's perception of virtual health advisory services," International Journal of Information Management, Elsevier, vol. 35(2), pages 229-243.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lionel P. Robert & Marcelo Fantinato & Sangseok You & Patrick C. K. Hung, 2024. "Social Robotics Business and Computing," Information Systems Frontiers, Springer, vol. 26(1), pages 1-8, February.
    2. Vinoi, Nivin & Shankar, Amit & Agarwal, Reeti & Alghafes, Rsha, 2025. "Revolutionizing retail: The transformative power of service robots on shopping dynamics," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert Stefko & Radovan Bacik & Richard Fedorko & Maria Olearova, 2022. "Gender-generation characteristic in relation to the customer behavior and purchasing process in terms of mobile marketing," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 181-223, March.
    2. Capestro, Mauro & Rizzo, Cristian & Kliestik, Tomas & Peluso, Alessandro M. & Pino, Giovanni, 2024. "Enabling digital technologies adoption in industrial districts: The key role of trust and knowledge sharing," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    3. Kim, Heetae & Park, Eunil & Kwon, Sang Jib & Ohm, Jay Y. & Chang, Hyun Joon, 2014. "An integrated adoption model of solar energy technologies in South Korea," Renewable Energy, Elsevier, vol. 66(C), pages 523-531.
    4. Blut, Markus & Wünderlich, Nancy V. & Brock, Christian, 2024. "Facilitating retail customers’ use of AI-based virtual assistants: A meta-analysis," Journal of Retailing, Elsevier, vol. 100(2), pages 293-315.
    5. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    6. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    7. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    8. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    9. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    10. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    11. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    12. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    13. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    14. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    15. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.
    16. Waqar Younas & K. Ramanathan Kalimuthu, 2021. "Telecom microfinance banking versus commercial banking: a battle in the financial services sector," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(2), pages 67-80, June.
    17. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    18. Claudio Vitari & Elisabetta Raguseo, 2016. "Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data," Post-Print halshs-01923271, HAL.
    19. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    20. Proserpio, Luigi & Magni, Massimo, 2012. "Teaching without the teacher? Building a learning environment through computer simulations," International Journal of Information Management, Elsevier, vol. 32(2), pages 99-105.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.