The Experts below are selected from a list of 1152 Experts worldwide ranked by ideXlab platform
Belkacem Ilyasse - One of the best experts on this subject based on the ideXlab platform.
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Étude de nouvelles Techniques d'interactions en situation de mobilité avec des lunettes électroniques pour le domaine de la santé.
HAL CCSD, 2019Co-Authors: Belkacem IlyasseAbstract:International audienceThe work conText is in the health field and in particular a healthcare professional visiting his patient in a hospital. We focused on smart glasses to visualize and manipulate patient records. From a conceptual point of view, we have proposed an eight-dimensional design space to identify gaps in existing systems and assist in the design of new systems. From an application point of view, for output interaction, we introduced a Technique called K-Fisheye on a tile-based interface that allows the user to browse a large dataset like in the health record. We used the design space to adapt an existing system for the smart glasses. The prototype obtained called mCAREglass. For input interactions, we studied four pointing Techniques on smart glasses. We used the ISO 9241-411 standard to select Techniques easy to use for exploring the health record. Finally, we designed a new Text Entry Technique called Textile by using a new interactive fabric communicating with glasses.Étude de nouvelles Techniques d'interactions en situation de mobilité avec des lunettes électroniques pour le domaine de la santé Résumé Notre conTexte de travail se situe dans le domaine de la santé et en particulier celui du personnel médical visitant un patient dans un hôpital. Nous nous sommes focalisés sur les lunettes électroniques pour afficher et manipuler les dossiers patients. D'un point de vue conceptuel, nous avons proposé un espace de conception à huit dimensions pour identifier les lacunes dans les systèmes des dossiers patients existants et aider à la conception de nouveaux systèmes. D'un point de vue applicatif, en interaction en sortie, nous avons introduit une Technique appelée K-Fisheye sur une interface à tuiles qui permet de parcourir un grand ensemble de données comme celui présent dans le dossier patient. Nous avons utilisé ensuite l'espace de conception pour porter un système existant sur les lunettes électroniques. Le prototype obtenu s'appelle mCAREglass. En interaction en entrée, nous avons exploré quatre Techniques de pointage sur les lunettes électroniques avec la norme ISO 9241-411 pour sélectionner les Techniques qui ne sont pas contraignantes pour naviguer dans le dossier patient. Ensuite, nous avons conçu une nouvelle Technique d'entrée de Texte appelé Textile qui permet de saisir du Texte sur un tissu interactif communiquant avec les lunettes
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Étude de nouvelles Techniques d’interaction en situation de mobilité avec des lunettes électroniques pour le domaine de la santé
HAL CCSD, 2019Co-Authors: Belkacem IlyasseAbstract:Mobile devices such as smartphones, smartwatches or smart glasses have revolutionized how we interact. We are interested in smart glasses because they have the advantage of providing a simultaneous view of both the physical and the digital worlds. However, the interaction for smart glasses is not well explored. More suitable interactions on this device can convince users to use it more in everyday life. The thesis subject is focused on the study and development of new interaction Techniques with smart glasses. Indeed, it is not possible to interact so finely in mobility or in an emergency situation compared to a stable situation such as sitting in front of a desktop. The work conText is in the health field and in particular a healthcare professional visiting his patient in a hospital. The professional must be able to access the patient's data already collected, obtain physiological data in real time, prepare his diagnosis and communicate with his colleagues. The scientific problem for the thesis here is to find solutions that allow him to perform these tasks in a more precise and less restrictive way. The goal is to make the diagnosis and information sharing more effective and to make a device still uncontrolled a functional system in a professional healthcare environment. In this perspective, the work of this thesis presents theoretical and applicative contributions. We first listed the various work performed in the conText of smart glasses for the health field, while indicating potential, relevant results and limitations. We focused on smart glasses to visualize and manipulate patient records. From a conceptual point of view, we have proposed an eight-dimensional design space to identify gaps in existing systems and assist in the design of new systems. From an application point of view, for output interaction, we introduced a Technique called K-Fisheye on a tile-based interface that allows the user to browse a large dataset like in the health record. We used the design space to adapt an existing system for the smart glasses. The prototype obtained called mCAREglass. For input interactions, we studied four pointing Techniques on smart glasses. We used the ISO 9241-411 standard to select Techniques easy to use for exploring the health record. Finally, we designed a new Text Entry Technique called Textile by using a new interactive fabric communicating with glasses.Les dispositifs mobiles tels que les smartphones, les montres connectées ou les lunettes électroniques ont révolutionné la façon dont nous interagissons. Les lunettes électroniques nous intéressent, car elles fournissent aux utilisateurs une vision simultanée des mondes physique et numérique. Cependant, l’interaction sur les lunettes électroniques n’est pas bien explorée. L’amélioration de l’interaction sur ce dispositif peut convaincre les utilisateurs à l’utiliser plus dans la vie quotidienne. Le sujet de thèse est focalisé sur l’étude et le développement de nouvelles Techniques d'interaction avec les lunettes électroniques. En effet, il n'est pas possible d'interagir aussi finement en mobilité ou en situation d'urgence par rapport à une situation stable telle qu’assis devant un bureau. Notre conTexte de travail se situe dans le domaine de la santé et en particulier celui du personnel médical visitant un patient dans un hôpital. Le personnel médical doit pouvoir accéder aux données du patient déjà collectées, obtenir des données physiologiques en temps réel, préparer son diagnostic et communiquer avec ses collègues. Le verrou scientifique pour la thèse ici est de trouver des solutions qui permettent au personnel médical de réaliser ces tâches de façon plus précise et moins contraignante. Le but est de rendre plus efficace le diagnostic et le partage d’informations et de faire d'un dispositif encore non maîtrisé un outil fonctionnel en milieu professionnel de la santé. Dans cette optique, les travaux de cette thèse présentent des contributions théoriques et applicatives. Nous avons tout d’abord répertorié les différents travaux effectués dans le cadre des lunettes électroniques pour le domaine de la santé, tout en indiquant le potentiel, les résultats pertinents et les limites. Nous nous sommes focalisés sur les lunettes électroniques pour afficher et manipuler les dossiers patients. D’un point de vue conceptuel, nous avons proposé un espace de conception à huit dimensions pour identifier les lacunes dans les systèmes existants et aider à la conception de nouveaux systèmes. D’un point de vue applicatif, en interaction en sortie, nous avons introduit une Technique appelée K-Fisheye sur une interface à tuiles qui permet de parcourir un grand ensemble de données comme celui présent dans le dossier patient. Nous avons utilisé ensuite l’espace de conception pour porter un système existant sur les lunettes électroniques. Le prototype obtenu s’appelle mCAREglass. En interaction en entrée, nous avons exploré quatre Techniques de pointage sur les lunettes électroniques avec la norme ISO 9241-411 pour sélectionner les Techniques qui ne sont pas contraignantes pour naviguer dans le dossier patient. Ensuite, nous avons conçu une nouvelle Technique d’entrée de Texte appelé Textile qui permet de saisir du Texte sur un tissu interactif communiquant avec les lunettes
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Study of new interaction Techniques in mobility conText with smart glasses for healthcare
2019Co-Authors: Belkacem IlyasseAbstract:Les dispositifs mobiles tels que les smartphones, les montres connectées ou les lunettes électroniques ont révolutionné la façon dont nous interagissons. Les lunettes électroniques nous intéressent, car elles fournissent aux utilisateurs une vision simultanée des mondes physique et numérique. Cependant, l’interaction sur les lunettes électroniques n’est pas bien explorée. L’amélioration de l’interaction sur ce dispositif peut convaincre les utilisateurs à l’utiliser plus dans la vie quotidienne. Le sujet de thèse est focalisé sur l’étude et le développement de nouvelles Techniques d'interaction avec les lunettes électroniques. En effet, il n'est pas possible d'interagir aussi finement en mobilité ou en situation d'urgence par rapport à une situation stable telle qu’assis devant un bureau. Notre conTexte de travail se situe dans le domaine de la santé et en particulier celui du personnel médical visitant un patient dans un hôpital. Le personnel médical doit pouvoir accéder aux données du patient déjà collectées, obtenir des données physiologiques en temps réel, préparer son diagnostic et communiquer avec ses collègues. Le verrou scientifique pour la thèse ici est de trouver des solutions qui permettent au personnel médical de réaliser ces tâches de façon plus précise et moins contraignante. Le but est de rendre plus efficace le diagnostic et le partage d’informations et de faire d'un dispositif encore non maîtrisé un outil fonctionnel en milieu professionnel de la santé. Dans cette optique, les travaux de cette thèse présentent des contributions théoriques et applicatives. Nous avons tout d’abord répertorié les différents travaux effectués dans le cadre des lunettes électroniques pour le domaine de la santé, tout en indiquant le potentiel, les résultats pertinents et les limites. Nous nous sommes focalisés sur les lunettes électroniques pour afficher et manipuler les dossiers patients. D’un point de vue conceptuel, nous avons proposé un espace de conception à huit dimensions pour identifier les lacunes dans les systèmes existants et aider à la conception de nouveaux systèmes. D’un point de vue applicatif, en interaction en sortie, nous avons introduit une Technique appelée K-Fisheye sur une interface à tuiles qui permet de parcourir un grand ensemble de données comme celui présent dans le dossier patient. Nous avons utilisé ensuite l’espace de conception pour porter un système existant sur les lunettes électroniques. Le prototype obtenu s’appelle mCAREglass. En interaction en entrée, nous avons exploré quatre Techniques de pointage sur les lunettes électroniques avec la norme ISO 9241-411 pour sélectionner les Techniques qui ne sont pas contraignantes pour naviguer dans le dossier patient. Ensuite, nous avons conçu une nouvelle Technique d’entrée de Texte appelé Textile qui permet de saisir du Texte sur un tissu interactif communiquant avec les lunettes.Mobile devices such as smartphones, smartwatches or smart glasses have revolutionized how we interact. We are interested in smart glasses because they have the advantage of providing a simultaneous view of both the physical and the digital worlds. However, the interaction for smart glasses is not well explored. More suitable interactions on this device can convince users to use it more in everyday life. The thesis subject is focused on the study and development of new interaction Techniques with smart glasses. Indeed, it is not possible to interact so finely in mobility or in an emergency situation compared to a stable situation such as sitting in front of a desktop. The work conText is in the health field and in particular a healthcare professional visiting his patient in a hospital. The professional must be able to access the patient's data already collected, obtain physiological data in real time, prepare his diagnosis and communicate with his colleagues. The scientific problem for the thesis here is to find solutions that allow him to perform these tasks in a more precise and less restrictive way. The goal is to make the diagnosis and information sharing more effective and to make a device still uncontrolled a functional system in a professional healthcare environment. In this perspective, the work of this thesis presents theoretical and applicative contributions. We first listed the various work performed in the conText of smart glasses for the health field, while indicating potential, relevant results and limitations. We focused on smart glasses to visualize and manipulate patient records. From a conceptual point of view, we have proposed an eight-dimensional design space to identify gaps in existing systems and assist in the design of new systems. From an application point of view, for output interaction, we introduced a Technique called K-Fisheye on a tile-based interface that allows the user to browse a large dataset like in the health record. We used the design space to adapt an existing system for the smart glasses. The prototype obtained called mCAREglass. For input interactions, we studied four pointing Techniques on smart glasses. We used the ISO 9241-411 standard to select Techniques easy to use for exploring the health record. Finally, we designed a new Text Entry Technique called Textile by using a new interactive fabric communicating with glasses
Ahmed Sabbir Arif - One of the best experts on this subject based on the ideXlab platform.
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tiltwriter design and evaluation of a no touch tilt based Text Entry method for handheld devices
Mobile and Ubiquitous Multimedia, 2019Co-Authors: Steven J Castellucci, Scott I Mackenzie, Mudit Misra, Laxmi Pandey, Ahmed Sabbir ArifAbstract:Touch is the predominant method of Text Entry on mobile devices. However, these devices also facilitate tilt-based input using accelerometers and gyroscopes. This paper presents the design and evaluation of TiltWriter, a non-touch, tilt-based Text Entry Technique. TiltWriter aims to supplement conventional Techniques when precise touch is not convenient or possible (e.g., the user lacks sufficient motor skills). Two keyboard layouts were designed and evaluated: Qwerty, and "Custom", a layout inspired by the telephone keypad. Novice participants in a longitudinal study achieved speeds of 12.1 wpm for Qwerty, 10.7 wpm for Custom. Error rate averaged 0.76% for Qwerty, 0.62% for Custom. A post-study extended session yielded 15.2 wpm with Custom, versus 11.5 wpm with Qwerty. Results and participant feedback suggest that a selection dwell time between 700 - 800 ms benefits accuracy.
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Pseudo-Pressure Detection and Its Use in Predictive Text Entry on Touchscreens
2015Co-Authors: Ahmed Sabbir Arif, Wolfgang StuerzlingerAbstract:In this article we first present a new hybrid Technique that combines existing time- and touch-point-based approaches to simulate pressure detection on standard touchscreens. Results of two user studies show that the new hybrid Technique can distinguish (at least) two pressure levels, where the first requires on average 1.04 N and the second 3.24 N force on the surface. Then, we present a novel pressure-based predictive Text Entry Technique that utilizes our hybrid pressure detection to enable users to bypass incorrect predictions by applying extra pressure on the next key. For inputting short English phrases with 10% non-dictionary words a comparison with conventional Text Entry in a study showed that the new Technique increases Entry speed by 9 % and decreases error rates by 25%. Also, most users (83%) favour the new Technique. Author Keywords Mobile phone; touchscreen; mobile Text Entry; predictiv
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user adaptation to a faulty unistroke based Text Entry Technique by switching to an alternative gesture set
Graphics Interface, 2014Co-Authors: Ahmed Sabbir Arif, Wolfgang StuerzlingerAbstract:This article presents results of two user studies to investigate user adaptation to a faulty unistroke gesture recognizer of a Text Entry Technique. The intent was to verify the hypothesis that users gradually adapt to a faulty gesture recognition Techniques misrecognition errors and that this adaptation rate is dependent on how frequently they occur. Results confirmed that users gradually adapt to misrecognition errors by replacing the error prone gestures with alternative ones, as available. Also, users adapt to a particular misrecognition error faster if it occurs more frequently than others.
Scott I Mackenzie - One of the best experts on this subject based on the ideXlab platform.
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tiltwriter design and evaluation of a no touch tilt based Text Entry method for handheld devices
Mobile and Ubiquitous Multimedia, 2019Co-Authors: Steven J Castellucci, Scott I Mackenzie, Mudit Misra, Laxmi Pandey, Ahmed Sabbir ArifAbstract:Touch is the predominant method of Text Entry on mobile devices. However, these devices also facilitate tilt-based input using accelerometers and gyroscopes. This paper presents the design and evaluation of TiltWriter, a non-touch, tilt-based Text Entry Technique. TiltWriter aims to supplement conventional Techniques when precise touch is not convenient or possible (e.g., the user lacks sufficient motor skills). Two keyboard layouts were designed and evaluated: Qwerty, and "Custom", a layout inspired by the telephone keypad. Novice participants in a longitudinal study achieved speeds of 12.1 wpm for Qwerty, 10.7 wpm for Custom. Error rate averaged 0.76% for Qwerty, 0.62% for Custom. A post-study extended session yielded 15.2 wpm with Custom, versus 11.5 wpm with Qwerty. Results and participant feedback suggest that a selection dwell time between 700 - 800 ms benefits accuracy.
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driftboard a panning based Text Entry Technique for ultra small touchscreens
User Interface Software and Technology, 2016Co-Authors: Tomoki Shibata, Scott I Mackenzie, Daniel Afergan, Danielle Kong, Beste F Yuksel, Robert J K JacobAbstract:Emerging ultra-small wearables like smartwatches pose a design challenge for touch-based Text Entry. This is due to the "fat-finger problem," wherein users struggle to select elements much smaller than their fingers. To address this challenge, we developed DriftBoard, a panning-based Text Entry Technique where the user types by positioning a movable qwerty keyboard on an interactive area with respect to a fixed cursor point. In this paper, we describe the design and implementation of DriftBoard and report results of a user study on a watch-size touchscreen. The study compared DriftBoard to two ultra-small keyboards, ZoomBoard (tapping-based) and Swipeboard (swiping-based). DriftBoard performed comparably (no significant difference) to ZoomBoard in the major metrics of Text Entry speed and error rate, and outperformed Swipeboard, which suggests that panning-based typing is a promising input method for Text Entry on ultra-small touchscreens.
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Text Entry for mobile computing models and methods theory and practice
Human-Computer Interaction, 2002Co-Authors: Scott I Mackenzie, William R SoukoreffAbstract:Text input for mobile or handheld devices is a flourishing research area. This article begins with a brief history of the emergence and impact of mobile computers and mobile communications devices. Key factors in conducting sound evaluations of new technologies for mobile Text Entry are presented, including methodology and experiment design. Important factors to consider are identified and elaborated, such as focus of attention, Text creation versus Text copy tasks, novice versus expert performance, quantitative versus qualitative measures, and the speed-accuracy trade-off. An exciting area within mobile Text Entry is the combined use of Fitts' law and a language corpus to model, and subsequently optimize, a Text Entry Technique. The model is described, along with examples for a variety of soft keyboards as well as the telephone keypad. A survey of mobile Text Entry Techniques, both in research papers and in commercial products, is presented.
Feng Chen - One of the best experts on this subject based on the ideXlab platform.
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hifinger one handed Text Entry Technique for virtual environments based on touches between fingers
Sensors, 2019Co-Authors: Haiyan Jiang, Dongdong Weng, Zhenliang Zhang, Feng ChenAbstract:We present a Text Entry Technique called HiFinger, which is an eyes-free, one-handed wearable Text Entry Technique for immersive virtual environments by thumb-to-fingers touch. This Technique enables users to input Text quickly, accurately, and comfortably with the sense of touch and a two-step input mode. It is especially suitable for mobile scenarios where users need to move (such as walking) in virtual environments. Various input signals can be triggered by moving the thumb towards ultra-thin pressure sensors placed on other fingers. After acquiring the comfort range of the touch between the thumb and other fingers, six placement modes for Text Entry are designed and tested, resulting in an optimal placement mode that leverages six pressure sensors for the Text Entry and two for the control function. A three-day study is conducted to evaluate the proposed Technique, and experimental results show that novices can achieve an average Text Entry efficiency of 9.82 words per minute (WPM) in virtual environments based on head-mounted displays after a training period of 25 min.
Steven J Castellucci - One of the best experts on this subject based on the ideXlab platform.
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tiltwriter design and evaluation of a no touch tilt based Text Entry method for handheld devices
Mobile and Ubiquitous Multimedia, 2019Co-Authors: Steven J Castellucci, Scott I Mackenzie, Mudit Misra, Laxmi Pandey, Ahmed Sabbir ArifAbstract:Touch is the predominant method of Text Entry on mobile devices. However, these devices also facilitate tilt-based input using accelerometers and gyroscopes. This paper presents the design and evaluation of TiltWriter, a non-touch, tilt-based Text Entry Technique. TiltWriter aims to supplement conventional Techniques when precise touch is not convenient or possible (e.g., the user lacks sufficient motor skills). Two keyboard layouts were designed and evaluated: Qwerty, and "Custom", a layout inspired by the telephone keypad. Novice participants in a longitudinal study achieved speeds of 12.1 wpm for Qwerty, 10.7 wpm for Custom. Error rate averaged 0.76% for Qwerty, 0.62% for Custom. A post-study extended session yielded 15.2 wpm with Custom, versus 11.5 wpm with Qwerty. Results and participant feedback suggest that a selection dwell time between 700 - 800 ms benefits accuracy.