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In this review, we describe current Machine Learning approaches to hand gesture recognition with depth data from time-of-flight sensors. In particular, we summarise the achievements on a line of research at the Computational Neuroscience laboratory at the Ruhr West University of Applied Sciences. Relating our results to the work of others in this field, we confirm that Convolutional Neural Networks and Long Short-Term Memory yield most reliable results. We investigated several sensor data fusion techniques in a deep learning framework and performed user studies to evaluate our system in practice. During our course of research, we gathered and published our data in a novel benchmark dataset (REHAP), containing over a million unique three-dimensional hand posture samples.
Automotive user interfaces and, in particular, automated vehicle technology pose a plenty of challenges to researchers, vehicle manufacturers, and third-party suppliers to support all diverse facets of user needs. To give an example, they emerge from the variation of different usergroups ranging from inexperienced, thrill-seeking young novice drivers to elderly drivers with all their natural limitations. To allow assessing the quality of automotive user interfaces and automated driving technology already during development and within virtual test processes, the proposed workshop is dedicated to the quest of finding objective, quantifiable quality criteria for describing future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors" researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Spielend einfach interagieren “, this workshop calls in particular for contributions in the area of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) and artificial intelligence (predictive HMIs, adaptive systems, intuitive interaction).
Automotive user interfaces and automated vehicle technology pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. To allow assessing the (hedonic) quality of automotive user interfaces and automated driving technology (i. e., UX) already during development, the proposed workshop is dedicated to the quest of finding objective, quantifiable criteria to describe future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors” researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Interaktion – Verbindet – Alle”, this workshop calls in particular for contributions in the areas of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) with focus on hedonic quality and design of user experience to enhance the safety feeling in ADS.
Sicherheitskritische Mensch-Computer-Interaktion ist nicht nur derzeit, sondern auch zukünftig ein äußerst relevantes Thema. Hierbei kann ein Lehr- und Fachbuch, wie dieses, immer nur einen punktuellen Stand abdecken. Dennoch kann der Versuch unternommen werden, aktuelle Trends zu identifizieren und einen Ausblick in die Zukunft zu wagen. Genau das möchte dieses Kapitel erreichen: Es sollen zukünftige Entwicklungen vorausgesagt und versucht werden, diese korrekt einzuordnen. Das ist an dieser Stelle nicht nur durch den Herausgeber, sondern durch Abfrage bei zahlreichen am Lehrbuch beteiligten Autoren geschehen. Neben einem Ausblick auf Grundlagen und Methoden werden dementsprechend auch sicherheitskritische interaktive Systeme und sicherheitskritische kooperative Systeme abgedeckt.
Rolling mills are continually improved and opti-mized by implementing innovative technology to decrease costs and scrap. Despite of the progressive automation and experience, some important process parameters can still not be determined with sufficient accuracy. As part of the research project PIREF, the velocity of the hot rolled rod shall be measured by using im-pedance analysis to estimate the volumetric flow rate of the mate-rial. For a high accuracy measurement of the impedance, a pow-erful VNA is used. To minimize errors in the measurement, caused by e.g. temperature drift, a correction of the measurement fre-quency is needed. This must be achieved without recalibration of the VNA to avoid faulty behavior of the online control. To solve this problem, an approach based on a polynomial regression is presented in this work.
Photolumineszenz (PL) aus Halbleiterstrukturen liefert Informationen bezüglich verschiedener Materialparameter wie z.B. Bandlücke, Schichtdicke sowie Temperatur. PL-Messungen werden klassischerweise erst ex situ und somit nach dem Produktionsprozess vorgenommen. Wird eine derartige PL-Messung während der Epitaxie einer Halbleiterstruktur und den damit verbundenen hohen Wachstumstemperaturen durchgeführt, erlaubt dies eine quasi-kontinuierliche In-situ-Charakterisierung der optoelektronischen Eigenschaften dieser Struktur zum frühestmöglichen Zeitpunkt, also noch in der Produktionsphase. Hierdurch wird eine In-situ-Optimierung der Prozessparameter ermöglicht, welche bei einer Ex-situ-Messung nicht gegeben ist. Die vorliegende Arbeit beschreibt zunächst theoretisch und dann anhand praktischer Messungen an industrienahen Epitaxie-Anlagen erstmals eine quasi-kontinuierliche In-situ-PL-Messung am Beispiel von wachsenden Nitrid-Halbleiterstrukturen. Über zeitaufgelöste PL-Messungen wird ein temperaturabhängiger Quenching-Mechanismus bei Gallium-Nitrid (GaN) und Indium-Gallium-Nitrid (InGaN) aufgezeigt, welcher den Einsatz von gepulsten Lasern als PL-Anregungsquelle bei hohen Wachstumstemperaturen einer Epitaxie erforderlich macht. Mit In-situ-PL-Messungen können hierdurch erstmals verschiedene Parameter einer gerade wachsenden Halbleiterschicht charakterisiert werden. Neben der Bestimmung der Temperatur und der Schichtdicke einer wachsenden, auf InGaN basierten LED-Struktur wird auch die Möglichkeit demonstriert, in einem frühen Stadium des Wachstums einer LED-Struktur ihre spätere Emissionswellenlänge bei Raumtemperatur vorherzusagen, und dies mit einer Genauigkeit von ± 1,3 nm (2σ). Diese Arbeit zeigt somit neben den industriell etablierten Messtechniken, wie z.B. pyrometrische Verfahren, eine weitere Möglichkeit zur Prozessüberwachung einer Epitaxie auf.
Relevance & Research Question: Smartphones have become an integrated part in everyday life facilitating communication, information access, entertainment and organization anytime and anywhere. However, the omnipresence of such devices can evoke psychological dependencies and the need of being always connected resulting in discomfort when the smartphone is not accessible. While few studies have found heightened anxiety during smartphone absence (e.g. Cheever, Rosen, Carrier, & Chavez, 2014), such research is scarce. Therefore, we aimed at expanding existing research asking whether the mere imagination of smartphone absence suffices to trigger anxiety and affect user’s context evaluations.
System design for well-being needs an appropriate tool to help designers to determine relevant requirements that can help human well-being to flourish. Personas come as a simple yet powerful tool in the early development stage of the user interface design. Considering well-being determinants in the early design process provide benefits for both the user and the development team. Therefore, in this short paper, we performed a literature study to provide a conceptual model of well-being in personas and propose positive design interventions in personas’ creation process.
The adoption of Open Educational Resources (OER) can support collaboration and knowledge sharing. One of the main areas of the usage OER is the internationalization, i.e., the use in a global context. However, the globally distributed co-creation of digital materials is still low. Therefore, we identify essential barriers, in particular for co-authoring of OER in global environments. We use a design science research method to introduce a barrier framework for co-authoring OER in global settings and propose a wellbeing-based system design constructed from the barrier framework for OER co-authoring tool. We describe how positive computing concepts can be used to overcome barriers, emphasizing design that promotes the author's sense of competence, relatedness, and autonomy.