Assessment of Acceptance and User Experience of Human-Computer Interaction with a Computer Interface

Said, Nidal Al; Al-Said, Khaleel

doi:10.3991/ijim.v14i11.13943

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…When using assistive interfaces based on PCS systems, performance can decrease radically. Many factors have an impact on this, but the most important is fatigue [88,89]. In solving the problem, fatigue is simply bypassed by developing a sophisticated user interface and multimodal solutions (e.g., hybrid BCI).…”

Section: Discussion On Performance In Assistive Systemsmentioning

confidence: 99%

A Human-Adaptive Model for User Performance and Fatigue Evaluation during Gaze-Tracking Tasks

2023

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Eye gaze interfaces are an emerging technology that allows users to control graphical user interfaces (GUIs) simply by looking at them. However, using gaze-controlled GUIs can be a demanding task, resulting in high cognitive and physical load and fatigue. To address these challenges, we propose the concept and model of an adaptive human-assistive human–computer interface (HA-HCI) based on biofeedback. This model enables effective and sustainable use of computer GUIs controlled by physiological signals such as gaze data. The proposed model allows for analytical human performance monitoring and evaluation during human–computer interaction processes based on the damped harmonic oscillator (DHO) model. To test the validity of this model, the authors acquired gaze-tracking data from 12 healthy volunteers playing a gaze-controlled computer game and analyzed it using odd–even statistical analysis. The experimental findings show that the proposed model effectively describes and explains gaze-tracking performance dynamics, including subject variability in performance of GUI control tasks, long-term fatigue, and training effects, as well as short-term recovery of user performance during gaze-tracking-based control tasks. We also analyze the existing HCI and human performance models and develop an extension to the existing physiological models that allows for the development of adaptive user-performance-aware interfaces. The proposed HA-HCI model describes the interaction between a human and a physiological computing system (PCS) from the user performance perspective, incorporating a performance evaluation procedure that interacts with the standard UI components of the PCS and describes how the system should react to loss of productivity (performance). We further demonstrate the applicability of the HA-HCI model by designing an eye-controlled game. We also develop an analytical user performance model based on damped harmonic oscillation that is suitable for describing variability in performance of a PC game based on gaze tracking. The model’s validity is tested using odd–even analysis, which demonstrates strong positive correlation. Individual characteristics of users established by the damped oscillation model can be used for categorization of players under their playing skills and abilities. The experimental findings suggest that players can be categorized as learners, whose damping factor is negative, and fatiguers, whose damping factor is positive. We find a strong positive correlation between amplitude and damping factor, indicating that good starters usually have higher fatigue rates, but slow starters have less fatigue and may even improve their performance during play. The proposed HA-HCI model and analytical user performance models provide a framework for developing an adaptive human-oriented HCI that enables monitoring, analysis, and increased performance of users working with physiological-computing-based user interfaces. The proposed models have potential applications in improving the usability of future human-assistive gaze-controlled interface systems.

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Section: Discussion On Performance In Assistive Systemsmentioning

confidence: 99%

A Human-Adaptive Model for User Performance and Fatigue Evaluation during Gaze-Tracking Tasks

2023

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“…The custom template image module is to make the user's template image library more diversified, so that the user can obtain the template image from many ways, so that the user can have more choices. Through the interactive interface, concepts outside the interface can be introduced into the interface design to help users understand the functions referred to in some concepts in the interface, such as using the "trash can" to dispose of waste files, "setting" to guide users to modify various designs, and "navigation" to act as the user's role; through the interactive interface, users can more easily understand the functional significance of interface elements [29]. Interface design simulates real objects.…”

Section: Methods Of Interactive Design Style Of Mobile Interfacementioning

confidence: 99%

Application of Style Transfer Algorithm in Interactive Art Design of Mobile Phone Interface

Guo

Ling

2022

Mobile Information Systems

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In recent years, touch-screen mobile phones have been loved by more and more users, and the word user experience has been mentioned more and more, and interface design has undoubtedly become an important method of interactive design of touch-screen mobile phones. With the progress of technology and market demand, the importance of rational design of smart phone interactive interface is particularly prominent, and user-centered experience design has been paid more and more attention. The traditional style migration is only used on computers, and its target audience is relatively small, with low efficiency and poor effect. At present, the application of interactive art design is becoming more and more homogeneous, without too much change in essential functions, and with no outstanding features in mature applications, some applications have failed to meet users’ expectations in terms of functions and operation modes, resulting in polarization of application use and difficulty for new applications to survive. Mobile phone theme design, as a new field of interface interaction design, meets the personalized needs of users and attracts more and more designers’ attention. With the rise of artificial intelligence technology, especially the rapid development of deep learning and convolutional neural network, a large number of advanced theories and algorithms have emerged in the field of computer vision. As an important direction of vision research, target detection and style transfer have become the research hotspot of many researchers. How to reasonably formulate the interaction mode, determine the user interface style, layout structure, and information display mode and how to organically combine the mobile phone theme interface design and user interaction experience are problems worthy of discussion and research at present. By studying the process of smart phone theme interface interaction design, sorting out the methods of mobile phone interface interaction design style, this paper deeply analyzes the popular flat and quasi-materialized style and discusses the skills of application.

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“…On the contrary, unlike the above three samples, the interface style of sample 1 in these two groups was relatively rich, and each element in the interface caused the subjects to stop their eyes to a certain extent, which indicates that the layout and layout design of each element in the interface design plays an active role in guiding the users' eyes. According to the Gestalt psychology theory, people's attention to a screen is unevenly distributed within a defined range, mainly because people's attention is easily influenced by the induction of graphics and psychological suggestions [22]. Nowadays, there are more and more interface design styles, whether the layout is centralized, left-right symmetrical, or center-symmetrical, different typography will guide users to move their eyes in a unique form.…”

Section: Optimize the Impact Of Layout Style On Visual Attentionmentioning

confidence: 99%

Research on mobile learning platform interface design based on college students’ visual attention characteristics

Zhu

Yang

2023

PLoS ONE

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To explore the visual experience characteristics and influencing factors of college students’ visual attention intervention in the interface of mobile learning platform by using eye-tracking technology, and to summarize and summarize the visual experience pattern of platform interface design and its design inspiration. Methods: Using the head-mounted eye-tracking technology, 28 images from 6 groups of typical elements in the interface layout of CGTN learning platform were selected as the test samples, and the eye-movement indexes of the subjects browsing the interface were recorded. Results: There were significant differences in the attention time, number of times of attention, visual attention rate and visual recall rate of different areas and topics of the interface (P < 0. 001). Conclusion: In the platform interface design, the analysis of the factors influencing visual attention can be found that people’s attention and visual experience is mainly influenced by color, text, and typography, and secondary areas and layout also play an important role in visual communication. The color and text areas in the interface design, as well as the innovative design of typography can effectively enhance the visual attention of college students and better communicate the information of the platform.

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Assessment of Acceptance and User Experience of Human-Computer Interaction with a Computer Interface

Cited by 9 publications

References 11 publications

A Human-Adaptive Model for User Performance and Fatigue Evaluation during Gaze-Tracking Tasks

A Human-Adaptive Model for User Performance and Fatigue Evaluation during Gaze-Tracking Tasks

Application of Style Transfer Algorithm in Interactive Art Design of Mobile Phone Interface

Research on mobile learning platform interface design based on college students’ visual attention characteristics

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