Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic Review

Qinyu ZHANG, Shan LIU, Jie XU*, Xiang JI, Yubo ZHANG, Yanfang LIU

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

1 Citation (Scopus)

Abstract

The aim of the current study was to identify design elements that influence the perceived intelligence of an agent to inform the design of human-agent interfaces. An agent’s level of perceived intelligence by the user is one of the essential dimensions of user experience in human-agent interaction. Studies have shown that perceived intelligence affects outcomes such as intentions to purchase and use. However, there is a lack of comprehensive interface design guidelines for improving perceived intelligence. We conducted a systematic literature review on empirical studies on perceived intelligence in human-agent interaction in academic literature databases and grey literature databases. A total of 2133 articles were screened, and subsequently, 55 relevant articles were identified, reviewed, and analyzed. Perceived intelligence was studied in various domains, such as robots, computer games, ambient intelligence, and interface agents. Design elements that can influence perceived intelligence mainly include anthropomorphism, animation, behavioral diversity, information pushing, decision recommendation, automated action implementation, interaction modality, transparency, and user control. These design elements were classified into three dimensions according to their conceptual similarity: appearance design, behavioral proactiveness, and communication effectiveness. The results can provide guidance to future research and practice for human-agent interaction. More research is needed to explore a broader range of design elements, such as types of human-agent relationships and changes in an agent’s behavior over time, that may also influence perceived intelligence.
Original languageEnglish
Title of host publicationHCI International 2022 : Late Breaking Posters : 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
EditorsConstantine STEPHANIDIS, Margherita ANTONA, Stavroula NTOA, Gavriel SALVENDY
PublisherSpringer Science and Business Media Deutschland GmbH
Pages713-720
Number of pages8
ISBN (Print)9783031196812
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume1655
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937
NameInternational Conference on Human-Computer Interaction
PublisherSpringer

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

This research is financially supported by Joint Innovation Lab of Consumer Business Group (Huawei Technologies Co.,Ltd.)—Zhejiang University.

Keywords

  • Human-agent interaction
  • Perceived intelligence
  • Systematic literature review

Fingerprint

Dive into the research topics of 'Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic Review'. Together they form a unique fingerprint.

Cite this