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We explore the use of multimodal input to predict the landing position of a ray pointer while selecting targets in a virtual reality (VR) environment. We first extend a prior 2D Kinematic Template Matching technique to include head movements. This new ...

In modern spatial computing devices, users are confronted with diverse methods for object selection, including eye gaze (cf. Apple Vision Pro), hand gestures (cf. Microsoft HoloLens 2), touch gestures (cf. Google Glass Enterprise Edition 2), and ...

The choice of technology for the prototyping phase is one of the most common issues relating to the use of maker technologies, particularly for students. The factors influencing students’ choices of technology when learning about interactive prototyping ...

The Internet of Things (IoT) is playing an important role in the development of cars, smart homes and schools. Schools are using IoT technology to enhance student learning, digitize traditional learning and improve academic performance. ...

• Review IoT applications in education and transform traditional schools into smart, secure systems.
• Apply hybrid techniques to select a smart and secure school system.
• Determine key components of IoT-based school systems via ...

In this paper, we introduce a model for studying energy efficient algorithms by extending the well-studied comparison model. In our model, the result of a comparison is determined based on two parameters: (i) the energy used to perform a ...

One of the most frequent problems with using maker technologies, especially for students, is the selection of technology during the prototyping stage. Few studies have focused on the variables that influence students' choice of technology when learning ...

"What you see is what you get" is a concept in eye gaze interaction of selecting only with your eye. Technologies such as Virtual and Augmented Reality (VR/AR) often exclude people with limited mobility due to their dependence on controllers or hand ...

Presolving has become an important component of modern Mixed-integer linear programming (MILP) solvers. Empirically, it has been observed that the performance of the solver is significantly influenced by the presolving algorithm (presolver), and ...

One of the significant features of software quality is software reliability. In the testing phase, faults are identified and corrected by integrating them into software development, thus obtaining better reliability. Here, by utilizing the ...

Practitioners have embraced the use of Artificial Intelligence (AI) systems for employee recruitment and selection. However, studies examining applicant reactions to AI have been exclusively vignette-based with no perceived outcome associated ...

• The study aimed to assess applicants' reactions to being evaluated by AI vs HR.
• Found a main effect of AI for interactional justice perceptions.
• Results indicate individuals are more likely to doubt fairness of AI when rejected.

Probabilistic dual hesitation fuzzy set (PDHFS) is a new tool used to enhance fuzzy and imprecise information in a changing and complex decision-making environment. Compared with the existing fuzzy sets, PDHFS is more suitable for ...

During past years, multi-operator optimization techniques gained vast attention due to their flexible structure and self-adaptation. They yielded promising results when compared with the single-operator based methods. However, the ...

Gaze-based interaction typically requires certain actions to confirm selections, which often makes interaction less convenient. Recently, effective identification of the user’s intention to make a gaze-based selection was demonstrated by Isomoto ...

One of the key interactions in 3D environments is target acquisition, which can be challenging when targets are small or in cluttered scenes. Here, incorrect elements may be selected, leading to frustration and wasted time. The ...

Display Omitted

Gaze pointing is the de facto standard to infer attention and interact in 3D environments but is limited by motor and sensor limitations. To circumvent these limitations, we propose a vergence-based motion correlation method to detect visual attention ...

The algorithms in Computer vision play a major role in inferring the valuable hidden information from datasets. Huge data analysis requires more concise techniques for analyzing hidden patterns and behavior for correct diagnose. This study ...

In this paper, we introduce a model for studying energy efficient algorithms by extending the well-studied comparison model. In our model, the result of a comparison is determined based on two parameters: (i) the energy used to perform a ...

The information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each ...

Generally, for high-dimensional datasets, only some features are relevant, while others are irrelevant or redundant. In the machine learning field, the use of a strategy for eliminating insignificant features from a dataset is very ...

• Two novel measures are defined to evaluate the relevance and redundancy of each predictor of any type.

Previous work has shown that the mismatch between disparity and optical focus cues, i.e., the vergence and accommodation conflict (VAC), affects virtual hand selection in immersive systems. To investigate if the VAC also affects distal pointing with ...