Attention-Aware Interaction in Augmented Reality

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Cognition".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 700

Special Issue Editor


E-Mail Website
Guest Editor
Department of Artificial Intelligence, University of Groningen, 9700 AK Groningen, The Netherlands
Interests: the human brain; eye tracking; electroencephalography; attention; brain computer interfaces; AR; intelligence; working memory; machine learning

Special Issue Information

Dear Colleagues,

The use of Augmented Reality (AR) has increased across various industries and optimizing human–computer interaction in these environments has become crucial. This Special Issue focuses on attention-aware interaction systems in AR, exploring how systems can intelligently adapt to users' cognitive load, attentional focus, and contextual needs.

Attention-aware systems bridge the gap between human cognitive abilities and the demands of complex AR interfaces. By dynamically adjusting content presentation and interaction modalities based on real-time assessments of user attention, these systems enhance usability, reduce cognitive overload, and improve task performance.

The articles in this Special Issue cover theoretical frameworks and practical applications, including gaze-based interaction, adaptive brain–computer interfaces, and context-aware interaction. By integrating insights from psychology, computer science, and design, this collection highlights the interdisciplinary nature of the field.

As AR technology advances, developing systems sensitive to user attention is essential. This Special Issue aims to inspire further research and innovation, paving the way for AR applications that are immersive, interactive, and intuitively aligned with human cognition.

Dr. Lisa-Marie Vortmann
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Behavioral Sciences is an international peer-reviewed open access monthly 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 2200 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

  • attention augmented reality (AR)
  • cognitive load
  • adaptive interfaces
  • eye tracking
  • electroencephalography (EEG)
  • brain–computer interfaces
  • user modeling
  • human–computer interaction (HCI)
  • gesture-based interaction

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (1 paper)

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

Research

17 pages, 2086 KiB  
Article
The Target-Defining Attributes Can Determine the Effects of Attentional Control Settings in Singleton Search Mode
by Ying Chen, Junzhe Wang, Zhiwei Miao, Yunpeng Jiang and Xia Wu
Behav. Sci. 2025, 15(1), 97; https://doi.org/10.3390/bs15010097 - 20 Jan 2025
Viewed by 481
Abstract
The attentional control settings (ACSs) can help us efficiently select targets in complex real-world environments. Previous research has shown that category-specific ACS demands more attentional resources than feature-specific ACS. However, comparing natural or alphanumeric categories with color features does not distinguish the effects [...] Read more.
The attentional control settings (ACSs) can help us efficiently select targets in complex real-world environments. Previous research has shown that category-specific ACS demands more attentional resources than feature-specific ACS. However, comparing natural or alphanumeric categories with color features does not distinguish the effects of processing hierarchy and target-defining properties. The present study employed a spatial cueing paradigm to better understand the effects of target-defining properties and search mode on attentional resources in visual search. The target was defined as a combination of shape feature (shape “X”) and color category (green in different shades), which generated shape-specific ACS (sACS) and color-specific ACS (cACS). The degrees of shape matching (SM), color matching (CM), and spatial validity between the cue and target were manipulated. Search modes were manipulated by changing the homogeneity of distractors in either shape or color dimensions. Results show a main effect of CM across all four experiments, indicating that category can tune on attentional capture consistently. Importantly, the analysis between four experiments found different interactions across experiments, suggesting that the singleton search mode can reduce the effects of ACS and increase the interactions with other factors. In conclusion, this study suggests that the effects of ACS on attentional capture are determined by both target-defining properties and search mode, rather than processing hierarchy. The results indicate that attentional processes are highly dynamic and context-dependent, requiring a flexible allocation of resources to effectively prioritize relevant information. Full article
(This article belongs to the Special Issue Attention-Aware Interaction in Augmented Reality)
Show Figures

Figure 1

Back to TopTop