SeeReader: An (Almost) Eyes-Free Mobile Rich Document Viewer

Reading documents on mobile devices is challenging. Not only are screens small and difficult to read, but also navigating an environment using limited visual attention can be difficult and potentially dangerous. Reading content aloud using text-to-speech (TTS) processing can mitigate these problems, but only for content that does not include rich visual information. In this paper, we introduce a new technique, SeeReader, that combines TTS with automatic content recognition and document presentation control that allows users to listen to documents while also being notified of important visual content. Together, these services allow users to read rich documents on mobile devices while maintaining awareness of their visual environment

Collaborating Note Taking

Collaborative note taking enables students in a class to take notes on their PDAs and share them with their “study group” in real-time. Students receive instructor’s slides on their PDAs as they are displayed by the instructor. As the individual members of the group take notes pertaining to the slide being presented, their notes are automatically sent to all members of the group. In addition, to reduce their typing, students can use text they receive from other students and from the instructors slides to construct their notes. This system has been used in actual practice for a graduate level course on wireless mobile computing. In developing this system, special attention has been paid to the task of inputting text on PDAs, efficient use of the screen real estate, dynamics among students, privacy and ease of use issues

Reactive Video:Adaptive Video Playback Based on User Motion for Supporting Physical Activity

Videos are a convenient platform to begin, maintain, or improve a ftness program or physical activity. Traditional video systems allow users to manipulate videos through specifc user interface actions such as button clicks or mouse drags, but have no model of what the user is doing and are unable to adapt in useful ways. We present adaptive video playback, which seamlessly synchronises video playback with the user’s movements, building upon the principle of direct manipulation video navigation. We implement adaptive video playback in Reactive Video, a vision-based system which supports users learning or practising a physical skill. The use of pre-existing videos removes the need to create bespoke content or specially authored videos, and the system can provide real-time guidance and feedback to better support users when learning new movements. Adaptive video playback using a discrete Bayes and particle flter are evaluated on a data set collected of participants performing tai chi and radio exercises. Results show that both approaches can accurately adapt to the user’s movements, however reversing playback can be problematic

Shared Text Input for Note Taking on Handheld Devices

Shared text input is a technique we implemented into a note taking system for facilitating text entry on small devices. Instead of writing out words on the tedious text entry interfaces found on handheld computers, users can quickly reuse words and phrases already entered by others. Sharing notes during a meeting also increases awareness among note takers. We found that filtering the text to share was appropriate to deal with a variety of design issues such as screen real estate, scalability, privacy, reciprocity, and predictability of text location

Taking Notes on PDAs with Shared Text Input

This paper presents a system designed to support note taking on a wirelessly connected PDA in a classroom. The system leverages the devices’ wireless connectivity to allow students to share their notes in real time, allowing individuals to quickly reuse words from their fellow note takers. In addition, presentation material such as Powerpoint slides are also extracted when presented by the teacher, giving students further means to reusing words. We describe the system and report on the findings of an initial user study where the system has been used for four months during a graduate level course on wireless mobile computing with 20 students

Collaborative Note Taking Using PDAs

The preliminary version of this paper has been appear in Proceeding of IEEE Workshop on Wireless and Mobile Technologies in Education, Taiwan, March 23-25, 2004.Collaborative note taking enables students in a class to take notes on their Personal Digital Assistants (PDAs) and laptops and share them with their “study group” in real-time. Students also receive instructor’s slides in real-time as they are displayed by the instructor. As the individual members of the group take notes pertaining to the slide being presented, their notes are automatically sent to all members of the group. The system has been used in actual practice for a graduate level course on wireless mobile computing. In developing this system, special attention has been paid to the task of entering text on PDAs, efficient use of the screen real estate, dynamics among students, privacy and ease of use issues. We describe our system and report the findings of this user study

De la création à la capitalisation des annotations dans une espace personnel d'informations

Nous proposons un nouvel outil d'annotation permettant aux utilisateurs de personnaliser les documents lus sur Internet. Contrairement aux outils existants, notre système permet la création rapide d'annotations sans compromettre le caractère souvent confidentiel des annotations personnelles. L'outil propose également une interface pour rechercher les passages annotés et tire partie des annotations pour représenter chaque document. L'architecture et l'interface du système sont évalués par 20 utilisateurs pendant 2 mois et par deux utilisateurs pendant une année. Nous montrons ensuite comment tirer parti des annotations créées par l'utilisateur dans une tâche de classification automatique des documents annotés. Outre des gains de temps et d'encombrement mémoire, nous montrons que les classifications obtenues grâce aux annotations sont plus précises que celle obtenues en utilisant le texte intégral des documents. Tout en restant compréhensibles par d'autres utilisateurs, les annotations permettent de générer des classifications personnalisées. La classification automatique n'est pas la seule tâche pouvant exploiter les annotations. Nous présentons des travaux qui montrent comment les utiliser pour améliorer la recherche d'informations, aider à la lecture et faciliter la collaboration entre plusieurs utilisateurs. Nous présentons enfin des perspectives d'utilisation des annotations comme le résumé automatique de documents non annotés, la classification supervisée, la simplification des cartes de navigation graphique des annotations et enfin la prise en compte de la sémantique des annotationsCHAMBERY -BU Bourget (730512101) / SudocSudocFranceF