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

Le système KeyGlass

International audienceThis paper presents the KeyGlass system : a text entry system with dynamic addition of characters based on those previously entered. The prediction system that we use to optimize our system is based on the joint use of a lexicographic tree and a system using bigrams. We present in this article the different steps that led us to this prediction system. Finally we study, through two experiments (one theoretical and the other one with users), the usefulness and effectiveness of our system during a task of text copy. The results show a significant reduction in the distance covered by the pointer on the soft keyboard. However, users are slower to enter text

Freeform User Interfaces for Graphical Computing

報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

An Efficient Text Input Method for Pen-based Computers

Pen-based computing has not yet taken off, partly because of the lack of fast and easy text input methods. The situation is even worse for people using East Asian languages, where thousands of characters are used and handwriting recognition is extremely difficult. In this paper, we propose a new fast text input method for pen-based computers, where text is not composed by entering characters one by one, but by selecting words from a menu of candidates created by filtering the dictionary and predicting from context. Using our approach, users can enter Japanese text more than twice as fast as recognition-based and other existing text input methods. User studies and detailed analysis of the method are also given

Predicting and Reducing the Impact of Errors in Character-Based Text Entry

This dissertation focuses on the effect of errors in character-based text entry techniques. The effect of errors is targeted from theoretical, behavioral, and practical standpoints. This document starts with a review of the existing literature. It then presents results of a user study that investigated the effect of different error correction conditions on popular text entry performance metrics. Results showed that the way errors are handled has a significant effect on all frequently used error metrics. The outcomes also provided an understanding of how users notice and correct errors. Building on this, the dissertation then presents a new high-level and method-agnostic model for predicting the cost of error correction with a given text entry technique. Unlike the existing models, it accounts for both human and system factors and is general enough to be used with most character-based techniques. A user study verified the model through measuring the effects of a faulty keyboard on text entry performance. Subsequently, the work then explores the potential user adaptation to a gesture recognizer’s misrecognitions in two user studies. Results revealed that users gradually adapt to misrecognition errors by replacing the erroneous gestures with alternative ones, if available. Also, users adapt to a frequently misrecognized gesture faster if it occurs more frequently than the other error-prone gestures. Finally, this work presents a new hybrid approach to simulate pressure detection on standard touchscreens. The new approach combines the existing touch-point- and time-based methods. Results of two user studies showed that it can simulate pressure detection more reliably for at least two pressure levels: regular (~1 N) and extra (~3 N). Then, a new pressure-based text entry technique is presented that does not require tapping outside the virtual keyboard to reject an incorrect or unwanted prediction. Instead, the technique requires users to apply extra pressure for the tap on the next target key. The performance of the new technique was compared with the conventional technique in a user study. Results showed that for inputting short English phrases with 10% non-dictionary words, the new technique increases entry speed by 9% and decreases error rates by 25%. Also, most users (83%) favor the new technique over the conventional one. Together, the research presented in this dissertation gives more insight into on how errors affect text entry and also presents improved text entry methods

An Efficient Text Input Method for Pen-based Computers

Pen-based computing has not yet taken off, partly because of the lack of fast and easy text input methods. The situation is even worse for people using East Asian languages, where thousands of characters are used and handwriting recognition is extremely difficult. In this paper, we propose a new fast text input method for pen-based computers, where text is not composed by entering characters one by one, but by selecting words from a menu of candidates created by filtering the dictionary and predicting from context. Using our approach, users can enter Japanese text more than twice as fast as recognition-based and other existing text input methods. User studies and detailed analysis of the method are also given

An analysis of interaction in the context of wearable computers

The focus of this thesis is on the evaluation of input modalities for generic input tasks, such inputting text and pointer based interaction. In particular, input systems that can be used within a wearable computing system are examined in terms of human-wearable computer interaction. The literature identified a lack of empirical research into the use of input devices for text input and pointing, when used as part of a wearable computing system. The research carried out within this thesis took an approach that acknowledged the movement condition of the user of a wearable system, and evaluated the wearable input devices while the participants were mobile and stationary. Each experiment was based on the user's time on task, their accuracy, and a NASA TLX assessment which provided the participant's subjective workload. The input devices assessed were 'off the shelf' systems. These were chosen as they are readily available to a wider range of users than bespoke inpu~ systems. Text based input was examined first. The text input systems evaluated were: a keyboard,; an on-screen keyboard, a handwriting recognition system, a voice 'recognition system and a wrist- keyboard (sometimes known as a wrist-worn keyboard). It was found that the most appropriate text input system to use overall, was the handwriting recognition system, (This is forther explored in the discussion of Chapters three and seven.) The text input evaluations were followed by a series of four experiments that examined pointing devices, and assessed their appropriateness as part of a wearable computing system. The devices were; an off-table mouse, a speech recognition system, a stylus and a track-pad. These were assessed in relation to the following generic pointing tasks: target acquisition, dragging and dropping, and trajectory-based interaction. Overall the stylus was found to be the most appropriate input device for use with a wearable system, when used as a pointing device. (This isforther covered in Chapters four to six.) By completing this series of experiments, evidence has been scientifically established that can support both a wearable computer designer and a wearable user's choice of input device. These choices can be made in regard to generic interface task activities such as: inputting text, target acquisition, dragging and dropping and trajectory-based interaction.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Investigating retrospective interoperability between the accessible and mobile webs with regard to user input

The World Wide Web (Web) has become a key technology to provide access to on-line information. The Mobile Web users, who access the Web using small devices such as mobile phones and Personal Digital Assistants (PDAs), make errors on entering text and controlling cursors. These errors are caused by both the characteristics of a device and the environment in which it is used, and are called situational impairments. Disabled Web users, on the other hand, have difficulties in accessing the Web due to their impairments in visual, hearing or motor abilities. We assert that errors experienced by the Mobile Web users share similarity in scope with those hindering motor-impaired Web users with dexterity issues, and existing solutions from the motor-impaired users domain can be migrated to the Mobile Web domain to address the common errors.Results of a systematic literature survey have revealed 12 error types that affect both the Mobile Web users and disabled Web users. These errors range from unable to locate a key to unable to pin-point a cursor. User experiments have confirmed that the Mobile Web users and motor-impaired Web users share errors in scope: they both miss key presses, press additional keys, unintentionally press a key more than once or press a key too long. In addition, both small device users and motor-impaired desktop users have difficulties in performing clicking, multiple clicking and drag selecting. Furthermore, when small device users are moving, both the scope and the magnitude of the errors are shared. In order to address these errors, we have migrated existing solutions from the disabled Web users domain into the Mobile Web users domain. We have developed a typing error correction system for the Mobile Web users. Results of the user evaluation have indicated that the proposed system can significantly reduce the error rates of the Mobile Web users.This work has an important contribution to both the Web accessibility field and the Mobile Web field. By leveraging research from the Web accessibility field into the Mobile Web field, we have linked two disjoint domains together. We have migrated solutions from one domain to another, and thus have improved the usability and accessibility of the Mobile Web.EThOS - Electronic Theses Online ServiceGBUnited Kingdo