*Result*: A study on design and multimodal evaluation of intuitive interfaces for complex information systems in manned/unmanned cooperation.

Title:
A study on design and multimodal evaluation of intuitive interfaces for complex information systems in manned/unmanned cooperation.
Authors:
Qu J; Air Force Engineering University, Xi'an, China., Chen S; Air Force Engineering University, Xi'an, China., Dang S; Air Force Engineering University, Xi'an, China. dsnsw123@126.com., Wang W; Air Force Engineering University, Xi'an, China., Jiao H; Air Force Engineering University, Xi'an, China.
Source:
Scientific reports [Sci Rep] 2026 Jan 05; Vol. 16 (1), pp. 4746. Date of Electronic Publication: 2026 Jan 05.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : Nature Publishing Group, copyright 2011-
References:
Accid Anal Prev. 2019 Apr;125:14-19. (PMID: 30690274)
J Environ Manage. 2022 Nov 15;322:116103. (PMID: 36067663)
Appl Ergon. 2010 Jan;41(1):72-92. (PMID: 19586618)
Front Neurosci. 2022 Nov 11;16:1062171. (PMID: 36440274)
Annu Rev Psychol. 2015 Jan 3;66:83-113. (PMID: 25251491)
Noise Health. 2022 Oct-Dec;24(115):199-214. (PMID: 36537445)
J Exp Psychol Appl. 2000 Dec;6(4):291-306. (PMID: 11218339)
Sensors (Basel). 2021 Nov 23;21(23):. (PMID: 34883776)
Contributed Indexing:
Keywords: EEG; Efficient perception; Eye movement; HCI design; Intuitive interaction
Entry Date(s):
Date Created: 20260106 Date Completed: 20260204 Latest Revision: 20260207
Update Code:
20260207
PubMed Central ID:
PMC12872612
DOI:
10.1038/s41598-026-35017-3
PMID:
41491864
Database:
MEDLINE

*Further Information*

*Aiming to address the problems of high cognitive load and low information perception efficiency of complex information system interfaces in manned/unmanned cooperative operations, this study proposes an interface optimization method based on the intuitive interaction paradigm. By constructing a three-dimensional information architecture containing state parameters of multiple target types, UAV behavioural intent parameters, and target situational parameters, we designed an intergroup control experiment between traditional and intuitive interfaces.The experiment adopted a simulated battlefield mission paradigm, and synchronously recorded operators' behavioural performances (response time, correctness rate), oculomotor characteristics (fixations hotspots, scanning paths), and electroencephalographic signals (P300 amplitude and latency) and combined with a multimodal data fusion analysis method to verify the interface optimisation effect. The results showed that the intuitive interface performed better in terms of situational awareness, operational efficiency and task effectiveness, and the NASA-TLX cognitive load scores were lower than those of the traditional interface, with a significant difference between groups (p = 0.003).This study explored potential methods for the design of interfaces for complex information systems based on our experimental findings: (1) Suggesting that encoding multi-target state parameters with dynamic highlighting may improve multi-target tracking accuracy, particularly when a single-information carrier embeds ≤ 3 intuitive elements; (2) UAV intent parameters need to be designed differently based on semantic features, and flicker cues combined with colour stereotype encoding are adopted for preconditioned parameters, which can shorten the time of intent recognition; (3) Target situation parameters need to establish a local-global dynamic mapping mechanism, and iconized presentation can reduce the fixations dwell time compared to textual description.The findings from this study may offer preliminary insights and a potential theoretical foundation for future interface design of human-machine cooperative systems in dynamic high-stakes environments.
(© 2026. The Author(s).)*

*Declarations. Competing interests: The authors declare no competing interests. Ethical approval: The protocol has been approved by Health Association and the Ethics Committee of the Air Force Engineering University (Approval number: AFEU-ERB2025005). All subjects have given written informed consent according to the Declaration of Helsinki. All materials and procedures are safe for participants and informed consent was obtained from all participants.*