440 research outputs found

    Remy: AR Assisted Cooking

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    Our project introduces the concept of “detached monitoring” in a context-adaptive cooking system. The system has two parts: the Rat, a device mounted above the stove and the Hat, an augmented reality (AR) headset worn by the user. The Rat provides information about the user\u27s actions and the food being cooked. This information, combined with information from the Hat, is used to determine the user\u27s context. Instructions and status information are then embedded in the user\u27s environment via the Hat. The system was piloted with 7 participants in a kitchen setting. The results indicated that users found the tasks easier the more detached monitoring it incorporated, and, overall, found detached monitoring to be intuitive

    Video Collaboration: Copresence and Performance

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    The purpose of this qualitative narrative theory study on video collaboration platform use is to explain how an individual\u27s on-screen performance and their interpersonal verbal and nonverbal communication contributes to engagement and copresence with their audience. The literature review analyzes critical interpersonal communication theories to explain how this affects engagement and copresence levels in mediated virtual environments. The research was conducted through interviews with thirty professional businesspeople about their video collaboration experiences during the COVID-19 2020 shutdown. The interview respondents told the stories of business communication successes and failures that correspond to the scholarly theories in the literature review. The respondents discussed how verbal and nonverbal communication was used successfully and unsuccessfully. They also discussed why their companies found it challenging to communicate virtually during the COVID-19 shutdown with video collaboration. A final discussion analyzes how communication theory and practical experience combined to explain how verbal and nonverbal communication impact mediated virtual communications when using video collaboration. This study offers a model to help explain how interpersonal communication, engagement, and copresence exist in a cyclical motion. This model can be helpful to business people and scholars to communicate in a mediated virtual environment using video collaboration platforms

    Machinic Eyes: New and Post-Digital Aesthetics, Surveillance, and Resistance

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    This work concerns the rise of the New Aesthetic, an art project developed by James Bridle in 2012. The New Aesthetic, as envisioned by Bridle, was chiefly concerned with the overlapping of physical and digital realities through both the artifacts produced by this overlapping and the systems involved therein. I introduce the advent of the New Aesthetic and present the major criticisms: the lack of a robust theoretical and scholarly framework, the lack of a historical framework, the privileging of artifacts over systems as new Aesthetic, and the fragmented scholarly outlook on the New Aesthetic. Upon further examination, I discovered that the New Aesthetic is less of an art project but a metaphor for a global surveillance apparatus that is the result of clandestine partnerships between multinational technology corporations and intelligence agencies associated the Five Eyes consortium. In this dissertation, I critique the New Aesthetic from a scholarly viewpoint, offer a historical precedent of how the New Aesthetic came to be from cultural and technological perspectives, examine the rise of the global surveillance apparatus within the New Aesthetic, and offer ideas of how to resist surveillance as a result of our reliance upon computational technologies

    Exploration of smart infrastructure for drivers of autonomous vehicles

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    The connection between vehicles and infrastructure is an integral part of providing autonomous vehicles information about the environment. Autonomous vehicles need to be safe and users need to trust their driving decision. When smart infrastructure information is integrated into the vehicle, the driver needs to be informed in an understandable manner what the smart infrastructure detected. Nevertheless, interactions that benefit from smart infrastructure have not been the focus of research, leading to knowledge gaps in the integration of smart infrastructure information in the vehicle. For example, it is unclear, how the information from two complex systems can be presented, and if decisions are made, how these can be explained. Enriching the data of vehicles with information from the infrastructure opens unexplored opportunities. Smart infrastructure provides vehicles with information to predict traffic flow and traffic events. Additionally, it has information about traffic events in several kilometers distance and thus enables a look ahead on a traffic situation, which is not in the immediate view of drivers. We argue that this smart infrastructure information can be used to enhance the driving experience. To achieve this, we explore designing novel interactions, providing warnings and visualizations about information that is out of the view of the driver, and offering explanations for the cause of changed driving behavior of the vehicle. This thesis focuses on exploring the possibilities of smart infrastructure information with a focus on the highway. The first part establishes a design space for 3D in-car augmented reality applications that profit from smart infrastructure information. Through the input of two focus groups and a literature review, use cases are investigated that can be introduced in the vehicle's interaction interface which, among others, rely on environment information. From those, a design space that can be used to design novel in-car applications is derived. The second part explores out-of-view visualizations before and during take over requests to increase situation awareness. With three studies, different visualizations for out-of-view information are implemented in 2D, stereoscopic 3D, and augmented reality. Our results show that visualizations improve the situation awareness about critical events in larger distances during take over request situations. In the third part, explanations are designed for situations in which the vehicle drives unexpectedly due to unknown reasons. Since smart infrastructure could provide connected vehicles with out-of-view or cloud information, the driving maneuver of the vehicle might remain unclear to the driver. Therefore, we explore the needs of drivers in those situations and derive design recommendations for an interface which displays the cause for the unexpected driving behavior. This thesis answers questions about the integration of environment information in vehicles'. Three important aspects are explored, which are essential to consider when implementing use cases with smart infrastructure in mind. It enables to design novel interactions, provides insights on how out-of-view visualizations can improve the drivers' situation awareness and explores unexpected driving situations and the design of explanations for them. Overall, we have shown how infrastructure and connected vehicle information can be introduced in vehicles' user interface and how new technology such as augmented reality glasses can be used to improve the driver's perception of the environment.Autonome Fahrzeuge werden immer mehr in den alltĂ€glichen Verkehr integriert. Die Verbindung von Fahrzeugen mit der Infrastruktur ist ein wesentlicher Bestandteil der Bereitstellung von Umgebungsinformationen in autonome Fahrzeugen. Die Erweiterung der Fahrzeugdaten mit Informationen der Infrastruktur eröffnet ungeahnte Möglichkeiten. Intelligente Infrastruktur ĂŒbermittelt verbundenen Fahrzeugen Informationen ĂŒber den prĂ€dizierten Verkehrsfluss und Verkehrsereignisse. ZusĂ€tzlich können Verkehrsgeschehen in mehreren Kilometern Entfernung ĂŒbermittelt werden, wodurch ein Vorausblick auf einen Bereich ermöglicht wird, der fĂŒr den Fahrer nicht unmittelbar sichtbar ist. Mit dieser Dissertation wird gezeigt, dass Informationen der intelligenten Infrastruktur benutzt werden können, um das Fahrerlebnis zu verbessern. Dies kann erreicht werden, indem innovative Interaktionen gestaltet werden, Warnungen und Visualisierungen ĂŒber Geschehnisse außerhalb des Sichtfelds des Fahrers vermittelt werden und indem ErklĂ€rungen ĂŒber den Grund eines verĂ€nderten Fahrzeugverhaltens untersucht werden. Interaktionen, welche von intelligenter Infrastruktur profitieren, waren jedoch bisher nicht im Fokus der Forschung. Dies fĂŒhrt zu WissenslĂŒcken bezĂŒglich der Integration von intelligenter Infrastruktur in das Fahrzeug. Diese Dissertation exploriert die Möglichkeiten intelligenter Infrastruktur, mit einem Fokus auf die Autobahn. Der erste Teil erstellt einen Design Space fĂŒr Anwendungen von augmentierter RealitĂ€t (AR) in 3D innerhalb des Autos, die unter anderem von Informationen intelligenter Infrastruktur profitieren. Durch das Ergebnis mehrerer Studien werden AnwendungsfĂ€lle in einem Katalog gesammelt, welche in die Interaktionsschnittstelle des Autos einfließen können. Diese AnwendungsfĂ€lle bauen unter anderem auf Umgebungsinformationen. Aufgrund dieser Anwendungen wird der Design Space entwickelt, mit Hilfe dessen neuartige Anwendungen fĂŒr den Fahrzeuginnenraum entwickelt werden können. Der zweite Teil exploriert Visualisierungen fĂŒr Verkehrssituationen, die außerhalb des Sichtfelds des Fahrers sind. Es wird untersucht, ob durch diese Visualisierungen der Fahrer besser auf ein potentielles Übernahmeszenario vorbereitet wird. Durch mehrere Studien wurden verschiedene Visualisierungen in 2D, stereoskopisches 3D und augmentierter RealitĂ€t implementiert, die Szenen außerhalb des Sichtfelds des Fahrers darstellen. Diese Visualisierungen verbessern das Situationsbewusstsein ĂŒber kritische Szenarien in einiger Entfernung wĂ€hrend eines Übernahmeszenarios. Im dritten Teil werden ErklĂ€rungen fĂŒr Situationen gestaltet, in welchen das Fahrzeug ein unerwartetes Fahrmanöver ausfĂŒhrt. Der Grund des Fahrmanövers ist dem Fahrer dabei unbekannt. Mit intelligenter Infrastruktur verbundene Fahrzeuge erhalten Informationen, die außerhalb des Sichtfelds des Fahrers liegen oder von der Cloud bereit gestellt werden. Dadurch könnte der Grund fĂŒr das unerwartete Fahrverhalten unklar fĂŒr den Fahrer sein. Daher werden die BedĂŒrfnisse des Fahrers in diesen Situationen erforscht und Empfehlungen fĂŒr die Gestaltung einer Schnittstelle, die ErklĂ€rungen fĂŒr das unerwartete Fahrverhalten zur VerfĂŒgung stellt, abgeleitet. Zusammenfassend wird gezeigt wie Daten der Infrastruktur und Informationen von verbundenen Fahrzeugen in die Nutzerschnittstelle des Fahrzeugs implementiert werden können. Zudem wird aufgezeigt, wie innovative Technologien wie AR Brillen, die Wahrnehmung der Umgebung des Fahrers verbessern können. Durch diese Dissertation werden Fragen ĂŒber AnwendungsfĂ€lle fĂŒr die Integration von Umgebungsinformationen in Fahrzeugen beantwortet. Drei wichtige Themengebiete wurden untersucht, welche bei der Betrachtung von AnwendungsfĂ€llen der intelligenten Infrastruktur essentiell sind. Durch diese Arbeit wird die Gestaltung innovativer Interaktionen ermöglicht, Einblicke in Visualisierungen von Informationen außerhalb des Sichtfelds des Fahrers gegeben und es wird untersucht, wie ErklĂ€rungen fĂŒr unerwartete Fahrsituationen gestaltet werden können

    Spatial Displays and Spatial Instruments

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    The conference proceedings topics are divided into two main areas: (1) issues of spatial and picture perception raised by graphical electronic displays of spatial information; and (2) design questions raised by the practical experience of designers actually defining new spatial instruments for use in new aircraft and spacecraft. Each topic is considered from both a theoretical and an applied direction. Emphasis is placed on discussion of phenomena and determination of design principles

    Cue Reactivity in Electronic Cigarette Users with Sign-Tracking or Goal-Tracking Behaviors

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    Polina Krom Cue reactivity is an important predictor of addiction course and relapse. However, cue reactivity is only observed after an addiction develops. As such, it is unclear to what degree cue reactivity represents a state stemming from the addiction process versus a trait-like propensity towards developing cue-reward associations. Work in animal models has pointed to important individual differences in trait-like inclination to attribute incentive salience to reward-predictive cues that is associated with addiction-relevant behavioral and neurobiological features. These individual differences manifest as sign-tracking (ST) and goal-tracking (GT) behaviors during Pavlovian conditioning. Little research has attempted to translate ST and GT phenotypes to humans or relate them to cue reactivity in addictive disorders. The current study examined electronic cigarette (ECIG) cue reactivity in human participants as a function of a tendency to sign-track. Regular ECIG users were characterized in terms of their sign-/ goal-tracking propensity based on a Pavlovian conditioning paradigm accompanied by eye-tracking and were exposed to two different cue types: ECIG cues (e.g., devices, vape clouds) and neutral cues (water) in separate testing sessions. Our analysis focused on tendencies for sign-tracking / goal-tracking in relation to ECIG cue reactivity, measured as cue-induced cravings and neural responses captured through electroencephalography (EEG). The study found that participants with a higher gaze index, indicating a stronger tendency for sign-tracking, reported increased cravings (assessed by the Schuh-Stitzer questionnaire) in response to ECIG cues compared to neutral cues, consistent with our hypothesis. This finding was only significant in the analyses removing influential observations. Some trend-level effects also pointed to a possibility that contrary to our hypothesis participants with a greater sign-tracking propensity tended to have higher EEG amplitudes in response to neutral cues and lower amplitudes in response to ECIG cues in P300 and LPP components. It is important to note that the data collection is incomplete, and these results may change. Future research could explore alternative measures for sign- and goal-tracking tendencies and tailor ECIG cue stimuli to participants\u27 specific devices

    Intelligent cameral control for graphical environments

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1994.Includes bibliographical references (leaves 194-207).by Steven Mark Drucker.Ph.D
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