Differential Evolution: A review of more than two decades of research

https://doi.org/10.1016/j.chb.2022.107289

What is XR? Towards a Framework for Augmented and Virtual Reality

20 years of research on virtual reality and augmented reality in tourism context: a text-mining approach

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

Machine learning has shown utility in detecting patterns within large, unstructured, and complex datasets. One of the promising applications of machine learning is in precision medicine, where disease risk is predicted using patient genetic data. However, creating an accurate prediction model based on genotype data remains challenging due to the so-called “curse of dimensionality” (i.e., extensively larger number of features compared to the number of samples). Therefore, the generalizability of machine learning models benefits from feature selection, which aims to extract only the most “informative” features and remove noisy “non-informative,” irrelevant and redundant features. In this article, we provide a general overview of the different feature selection methods, their advantages, disadvantages, and use cases, focusing on the detection of relevant features (i.e., SNPs) for disease risk prediction.

/pdf/a-review-of-feature-selection-methods-for-machine-learning-1wzpjzzo.pdf

A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction

We present the initial prototype of a running shoe with integrated electrochromic (EC) information displays. The flexibility of the displays and the possibility to create displays in any shape make the technology particularly suited for seamless integration in running shoes, supporting the shoe's overall design aesthetic. Our prototype implementation includes a segmented display in the toe-box area of the shoe, suitable for display of goal achievement and a side display, showing the wear-and-tear state of the shoe. The EC displays are driven by an Arduino microcontroller, battery and sensors, embedded in the sole. As next steps, the shoe will be evaluated in trials with experienced runners.

Running shoe with integrated electrochromic displays

In today's world, there are increasingly many things to remember. Often the information is linked to physical world objects -- for instance usage instructions, personal histories, access codes or expiring guarantee dates. Mobile augmented reality (MAR) can provide a design approach, where we can utilize our everyday surroundings and attach information to the items without seemingly modifying their outlook. In this paper, we explore selected MAR scenarios from the augmented human memory point of view. We evaluated these scenarios in a online survey with 19 participants.

Augmenting the home to remember: initial user perceptions

This paper explores the concept of using human shadows as an ambient information display. As shadows are an integral part of the physical world, consisting of non-illuminated and dynamic shapes, they provide a potential basis for the design of unobtrusive ambient displays. We created a set of artificial human shadows to explore the concept, and conducted a user study (n = 12) to chart perceptions on the idea. As salient findings, the concept was perceived as interesting, and provoked strong reactions during the user study, e.g. surprise, laughter, and, at times, the feeling of spookiness. Synchronisation of movements between the manipulated shadows and the physical world and the ability to visually recognize the human shape, even when distortions are applied, are essential for the user experience.

Perceptions of human shadow manipulation as an ambient display

Location-aware messaging offers enormous possibilities as location tracking systems become more common and the amount of mobile services grow. The easiest way for application development would be to implement a general location-aware platformbuilding on existing infrastructures used for tracking and messaging. Such an approach has to take into account the limitations in location accuracy and interaction design. The critical issues for location-aware applications are end-user needs and acceptance, which are the factors that ultimately determinate success. In this study, we chart user expectations of location-aware push-messaging. We test and compare the design of user interfaces for location-aware applications. Important factors concerned are the accuracy of the tracking system and interaction methods, which take into account the special requirements imposed by mobile handheld devices. The approach is to confront the users with the limitation of such systems, testing the their expectations and acceptance of the system. The results suggest, that users are concerned about spam messages, and wish to have control over the content they receive in order to limit and personalise the incoming information flow. Finally, location-aware information related to personal notes and the scalability are the most commonly mentioned desirable features for the application.

Interaction in Location-Aware Messaging in a City Environment

In the future, transparent displays can be utilized as information and communication channels in our everyday environments. Home windows form an interesting, yet unexplored platform, which could be utilized in the future e.g. as a mixed reality display or a personal or family communication channel. We explored the early user perceptions of an augmented home window through two user studies. In the first study 21 participants from 12 households commented our concept ideas and created their own. In the second study (12 households, 12 participants), developed concept ideas were assessed in a diary and a user study based on probes. The probes were used as experiential probes to gather perceptions of an augmented home window concept. Based on the studies, we present four communication modes for the augmented home window. The detailed findings reveal that contextual relevance of the content is highly important in the augmented home window, and that pragmatic use cases were valued, whereas social features were less appreciated.

Exploring the augmented home window: user perceptions of the concept

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