Designing Gaze-Based Interactions for Teleoperation: Eye Stick and Eye Click

Cai, Jiaye; Ge, Xianliang; Tian, Yu; Ge, Liezhong; Shi, Hongqi; Wan, Huagen; Xu, Jie

doi:10.1080/10447318.2023.2169992

Cited by 3 publications

(1 citation statement)

References 71 publications

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“…Interactive interfaces are the relevant operational interfaces that mediate between the user and the hardware and carry out communication between them. Many scholars have worked on designing and optimizing interactive interfaces (Adamides et al, 2014; Cai et al, 2023; Deng et al, 2016). At the level of visual parameters, the hierarchical content of interface design contains text, color, layout and graph, and these visual parameters are the root of interface composition (Wang et al, 2021; Zhou et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Operator visual attention allocation prediction in a robotic arm teleoperation interface

An,

Zhang,

Jiang

et al. 2023

Hum Ftrs & Erg Mfg Svc

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In digital interactive interfaces with high visual workloads, it is important for operators to allocate their limited attentional resources appropriately to ensure efficient information collection. The salience, effort, expectancy, value (SEEV) model, which combines top‐down and bottom‐up attention mechanisms for predicting attention allocation, has been validated in research areas such as piloting, driving, and surgical operations. However, the validity of the SEEV model in the field of robotic arm teleoperation has not yet been thoroughly studied. The primary purpose of this study was to confirm the feasibility of the SEEV model for operator visual attention allocation prediction in a robotic arm teleoperation scenario. The improved ITTI algorithm, distance‐measuring tool, Delphi method, and lowest ordinal algorithm were adopted to qualify the four factors of the SEEV model, which also contributed to salience and expectancy quantification methods. Accordingly, an attention allocation prediction model in a robotic arm teleoperation scene was constructed. To verify the validity of the prediction model, 20 participants were recruited to control the robotic arm using V‐REP simulation software, and their fixation durations were recorded using an eye tracker as an attention allocation indicator. Participants controlled the robotic arm according to the experimental requirements and operational tasks, such as grasping and placing the target. The results demonstrated that the theoretical data based on the SEEV prediction model are significantly related to the proportion of fixation durations. The experiment verifies the suitability of the SEEV prediction model, and it is anticipated to be utilized in the optimization of interactive interfaces for robotic arm teleoperation.

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Section: Literature Reviewmentioning

confidence: 99%

Operator visual attention allocation prediction in a robotic arm teleoperation interface

An,

Zhang,

Jiang

et al. 2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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Enhancing Fixation and Pursuit: Optimizing Field of View and Number of Targets for Selection Performance in Virtual Reality

Chen,

Tang,

Chen

et al. 2024

International Journal of Human–Computer Interaction

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A Study on the Visual Perception of Cultural Value Characteristics of Traditional Southern Fujian Architecture Based on Eye Tracking

Deng,

Chen,

Lei

2024

Buildings

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The traditional Southern Fujian architecture serves as a reflection of the region’s deeply rooted cultural values. However, research on the architectural and cultural heritage of Southern Fujian remains scarce. Accordingly, this study employs eye-tracking technology to experiment with 20 individuals with local cultural backgrounds and 20 without it to investigate the differences in the perception of the architectural heritage of Southern Fujian by individuals with disparate cultural backgrounds. The findings indicate that distinct groups evince disparate visual perceptions of the architectural and cultural heritage of Southern Fujian. The participants’ attention was divided into two categories: patterns and shapes and calligraphy and text. Non-locals were primarily drawn to patterns and shapes, whereas locals demonstrated a greater interest in the calligraphy and text category. The extraction of cultural information from calligraphic characters requires greater understanding and more time spent within the culture. Knowledge of local cultural backgrounds is helpful to better understand such information. This highlights the potential impact of Southern Fujian architecture on the local population. These findings provide a compelling rationale for the incorporation of multicultural elements in contemporary architectural design while also advocating for the preservation and advancement of Southern Fujian architectural heritage.

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Designing Gaze-Based Interactions for Teleoperation: Eye Stick and Eye Click

Cited by 3 publications

References 71 publications

Operator visual attention allocation prediction in a robotic arm teleoperation interface

Operator visual attention allocation prediction in a robotic arm teleoperation interface

Enhancing Fixation and Pursuit: Optimizing Field of View and Number of Targets for Selection Performance in Virtual Reality

A Study on the Visual Perception of Cultural Value Characteristics of Traditional Southern Fujian Architecture Based on Eye Tracking

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