applsci-logo

Journal Browser

Journal Browser

Human–Machine Interaction Applications

A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (31 July 2026) | Viewed by 1101

Editor


E-Mail Website
Guest Editor
Department of Computing Systems, University of Castilla-La Mancha, 02071 Albacete, Spain
Interests: affective computing; neuroinformatics; EEG and fNIRS analysis; emotion recognition; automatic sleep staging; cognitive-state monitoring; human-computer interaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Human–Machine Interaction (HMI) has become a cornerstone of modern technological development, bridging the gap between computational systems and humans. Advances in artificial intelligence, robotics, and immersive technologies have transformed how we interact with machines, enabling intuitive, adaptive, and efficient interfaces. This research area is critical for designing systems that enhance usability, safety, and user experience across domains such as healthcare, industry, education, and entertainment.

We are pleased to invite you to contribute to this Special Issue focusing on Human–Machine Interaction Applications. This Special Issue aims to showcase cutting-edge research and innovative solutions that advance the understanding and implementation of HMI in real-world contexts.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Intelligent user interfaces and adaptive systems;
  • Multimodal interaction and natural language processing;
  • Human–robot collaboration and assistive technologies;
  • Virtual, augmented, and mixed reality applications.

We look forward to receiving your contributions.

Prof. Dr. Antonio Fernández-Caballero
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human–machine interaction
  • intelligent user interfaces
  • natural language processing
  • human–robot collaboration

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

31 pages, 5278 KB  
Review
Multimodal Sensing for Live-Stand Analytics: A Design-Oriented Literature Synthesis and Reference Architecture
by Abdellah Walid, David Solá, Jaime A. Martins, Pedro J. S. Cardoso and João M. F. Rodrigues
Appl. Sci. 2026, 16(14), 7286; https://doi.org/10.3390/app16147286 - 21 Jul 2026
Viewed by 364
Abstract
Tourism, cultural events, and trade exhibitions increasingly need real-time, privacy-risk-reducing methods for quantifying visitor behavior and satisfaction at physical stands. This article addresses a fragmented evidence base by (i) presenting a focused, design-oriented literature synthesis of multimodal sensing for stand-like environments and (ii) [...] Read more.
Tourism, cultural events, and trade exhibitions increasingly need real-time, privacy-risk-reducing methods for quantifying visitor behavior and satisfaction at physical stands. This article addresses a fragmented evidence base by (i) presenting a focused, design-oriented literature synthesis of multimodal sensing for stand-like environments and (ii) proposing a unified, deployment-oriented reference architecture. It analyses a 60-paper design corpus (2022–2026), together with selected benchmark/context references across RGB-D, thermal cameras, LiDAR, mmWave radar, microphone arrays, and multimodal fusion, and maps the analytic corpus to event-relevant key performance indicators (KPIs). The synthesis identifies gaps in the corpus: scarce stand-specific, multimodal KPI-labeled event datasets, conceptual inconsistencies in satisfaction inference, and limited direct evidence for commercially important KPIs such as feedback, conversion, and retention. In response, the article introduces the Stand Multimodal Behavior and Satisfaction Analysis (SMBSA) architecture, a five-layer edge-AI conceptual reference architecture with hierarchical fusion and candidate analytics heads for future validation of behavior and satisfaction KPIs under GDPR-aware, privacy-by-design requirements. Full article
(This article belongs to the Special Issue Human–Machine Interaction Applications)
Show Figures

Figure 1

Back to TopTop