Search results for "human–computer interaction"

Perceived Product Risk while Shopping Online: Does Virtual Reality vs. 2D Reduce Uncertainty?

2019

This research explores if a virtual reality (VR) vs. a 2D display of an online shop reduces the perceived product risk. Thereby the role of the sense of presence (SoP) will be analyzed and whether the evocation of the SoP can be predicted by the possibility to interact with the virtual environment as well as by the social connectivity with a friend while shopping online. The results of three empirical studies affirm the importance of a VR display to reduce uncertainties regarding the products in online shops and outline techniques how to trigger the SoP.

Systematic review of chewing simulators : reality and reproducibility of in vitro studies

2020

Background The aim of this systematic review was to analyze the types of human chewing simulator described in scientific literature. Material and Methods An electronic search was conducted in the databases PubMed, Embase and Scopus. The search strategy included 10 search terms: “in vitro”; “dental materials”; “shear strength”; “fatigue fracture”; “bite force”; “prosthetic materials”; “chewing simulator”; “chewing machine”; “simulated mastication”; and “dental wear simulator.” Two researchers worked independently to assess the titles and abstracts of the articles. The quality of the in vitro trials selected was evaluated by means of the Consolidated Standards of Reporting Trials scale. Resul…

An adaptive display to treat stress-related disorders: EMMA's World

2009

ABSTRACT Most of the virtual environments currently available in the field of psychological treatments were designed to solve a specific problem. Our research group has developed a versatile virtual reality system (an adaptive display) called ‘EMMA's world’, which can address a wide range of problems. It was designed to assist in clinical situations where a person has suffered a stressful experience, for example post-traumatic stress disorder, adjustment disorder, and pathological grief. To accomplish therapeutic goals, a series of emotional virtual elements are used and personalised so that they are meaningful to the user and contain the fundamental emotional elements that the person must …

A Context-Aware System for Ambient Assisted Living

2017

In the near future, the world's population will be characterized by an increasing average age, and consequently, the number of people requiring for a special household assistance will dramatically rise. In this scenario, smart homes will significantly help users to increase their quality of life, while maintaining a great level of autonomy. This paper presents a system for Ambient Assisted Living (AAL) capable of understanding context and user's behavior by exploiting data gathered by a pervasive sensor network. The knowledge inferred by adopting a Bayesian knowledge extraction approach is exploited to disambiguate the collected observations, making the AAL system able to detect and predict…

An Ambient Intelligence System for Assisted Living

2017

Nowadays, the population's average age is constantly increasing, and thus the need for specialized home assistance is on the rise. Smart homes especially tailored to meet elderly and disabled people's needs can help them maintaining their autonomy, whilst ensuring their safety and well-being. This paper proposes a complete context-aware system for Ambient Assisted Living (AAL), which infers user's actions and context, analyzing its past and current behavior to detect anomalies and prevent possible emergencies. The proposed system exploits Dynamic Bayesian Networks to merge raw data coming from heterogeneous sensors and infer user's behavior and health conditions. A rule-based reasoner is ab…

An AMI System for User Daily Routine Recognition and Prediction

2014

Ambient Intelligence (AmI) defines a scenario involving people living in a smart environment enriched by pervasive sensory devices with the goal of assisting them in a proactive way to satisfy their needs. In a home scenario, an AmI system controls the environment according to a user’s lifestyle and daily routine. To achieve this goal, one fundamental task is to recognize the user’s activities in order to generate his daily activities profile. In this chapter, we present a simple AMI system for a home scenario to recognize and predict users’ activities. With this predictive capability, it is possible to anticipate their actions and improve their quality of life. Our approach uses a Hidden M…

Interacting With Human Simulations: A Prototype Application

2019

The process of interacting and executing agent-based simulations of human phenomena is complex and difficult to follow for lay people. This is due to 1) limited access to computing power, 2) difficulty in writing analytics scripts and 3) the size and complexity of the simulation space. Consequently, agent-based simulations are normally used once to answer a limited set of questions instead of exploring all the potential paths that the model offers. Here, we describe an approach for developing user experiences that automate the analytic process and rely on interactive visualizations and life histories of societies and agents. This approach helps the user visualize simulation results, pin-poi…

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning

2017

The aim of this study is to combine Biological Target Volume (BTV) segmentation and Gross Target Volume (GTV) segmentation in stereotactic neurosurgery.Our goal is to enhance Clinical Target Volume (CTV) definition, including metabolic and morphologic information, for treatment planning and patient follow-up.We propose a fully automatic approach for multimodal PET and MR image segmentation. This method is based on the Random Walker (RW) and Fuzzy C-Means clustering (FCM) algorithms. A total of 19 brain metastatic tumors, undergone stereotactic neuro-radiosurgery, were retrospectively analyzed. A framework for the evaluation of multimodal PET/MRI segmentation is presented, considering volume…

2020

Since the beginning of the 20th century, electroencephalography (EEG) has been used in a wide variety of applications, both for medical needs and for the study of various cerebral processes. With the rapid development of the technique, more and more precise and advanced tools have emerged for research purposes. However, the main constraints of these devices have often been the high price and, for some devices the low transportability and the long set-up time. Nevertheless, a broad range of wireless EEG devices have emerged on the market without these constraints, but with a lower signal quality. The development of EEG recording on multiple participants simultaneously, and new technological …

Embodied sound design

2018

Abstract Embodied sound design is a process of sound creation that involves the designer’s vocal apparatus and gestures. The possibilities of vocal sketching were investigated by means of an art installation. An artist–designer interpreted several vocal self-portraits and rendered the corresponding synthetic sketches by using physics-based and concatenative sound synthesis. Both synthesis techniques afforded a broad range of artificial sound objects, from concrete to abstract, all derived from natural vocalisations. The vocal-to-synthetic transformation process was then automated in SEeD, a tool allowing to set and play interactively with physics- or corpus-based sound models. The voice-dri…