| Supporting the CANCEL Command Through Software Architecture |
DEC 2002 |
|
| Authors:
Len Bass; Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST
|
 | A system that supports the user's ability to cancel a command should be designed to achieve particular results. These results include the responses the system should make to the user, such as providing feedback to the user about the command's receipt, predicting the time the cancellation should take (for long-running cancellations), and indicating the state to which the system was returned after the completion of the cancellation. To support a ... |
|
| Achieving Usability Through Software Architecture |
MAR 2001 |
|
| Authors:
Len Bass; Bonnie E. John; Jesse Kates; CARNEGIE-MELLON UNIV PITTSBURGH PA SOFTWARE ENGINEERING INST
|
| In this report, we present an approach to improving the usability of software systems by means of software architectural decisions. We identify specific connections between aspects of usability, such as the ability to "undo, " and software architecture. We also formulate each aspect of usability as a scenario with a characteristic stimulus and response. For every scenario, we provide an architecture pattern that implements its aspect of usability. We then ... |
|
| Two Case Studies in Using Cognitive Walkthrough for Interface Evaluation |
MAY 2000 |
61 pages |
| Authors:
Niels E. Jacobsen; Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
|
 | Previous HCI-studies have compared usability evaluation methods quantitatively without supplementing these data with detailed qualitative data about how analysts actually learn and use methods. In contrast, we present two diary-based case studies that describe the processes of two novice analysts who learned about and applied the Cognitive Walkthrough (CW; Lewis, et al., 1990) to the specification of a multimedia authoring system. Results show that the two ... |
|
| Tracking the Effectiveness of Usability Evaluation Methods |
12 AUG 96 |
|
| Authors:
Bonnie E. John; Steven J. Marks; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| We present a case study that tracks usability problems predicted with six usability evaluation methods (Claims Analysis, Cognitive Walkthrough, GOMS, Heuristic Evaluation, User Action Notation, and simply reading the specification) through a development process. We assess the methods predictive power by comparing the predictions to the results of user tests. We assess the methods persuasive power by seeing how many problems led to changes in the implemented code. We assess ... |
|
| Evaluating a Multimedia Authoring Tool |
28 AUG 95 |
|
| Authors:
Bonnie E. John; Matthew M. Mashyna; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| We present a detailed case study, drawn from many information sources, of a computer scientist learning and using Cognitive Walkthrough to assess a multi-media authoring tool. We then compare the predictions produced by the analysis to the usability problems actually found though empirical usability tests. This study results in several clear messages to both system designers and to developers of evaluation techniques: (1) the Cognitive Walkthrough technique is currently learnable ... |
|
| A Preliminary Model of Expert Programming |
JUL 95 |
|
| Authors:
Erik M. Altmann; Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| Expert programming involves the manipulation of large amounts of memory, including extemal memory represented on a display, semantic memory for expert knowledge, and episodic memory about what has transpired during a particular programming session. We present a computational cognitive model that emulates several minutes of expert, naturalistic programming behavior. The model has three high-level components: Knowledge, an underlying cognitive architecture, and mechanisms that allow the architecture to manipulate the knowledge. ... |
|
| The GOMS Family of Analysis Techniques: Tools for Design and Evaluation |
24 AUG 94 |
53 pages |
| Authors:
Bonnie E. John; David E. Kieras; CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
|
| Since the seminal Card, Moran, & Newell (1983) book, 'The Psychology of Human-Computer Interaction,' the concept of the GOMS model has been one of the few widely known theoretical concepts in human-computer interaction. This concept has spawned much research to verify and extend the original concept and has been used in real-world design and evaluation situations. The original presentation of the GOMS concept left substantial room for interpretation and subsequent ... |
|
| The GOMS Family of Analysis Techniques: Tools for Design and Evaluation |
24 AUG 94 |
|
| Authors:
Bonnie E. John; David E. Kieras; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| Since the seminal Card, Moran, and Newell (1983) book, The Psychology of human-computer interaction, the concept of GOMS model has been one of the few widely known theoretical concepts in human-computer interaction. This concept has spawned much research to verify and extend the original concept and has been used in real-world design and evaluation situations. The original presentation of the GOMS concept left substantial room for interpretation and subsequent researchers ... |
|
| A Database for Analyzing Sequential Behavioral Data and Their Associated Cognitive Models |
15 MAY 94 |
|
| Authors:
Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| Sequential behavioral data, be it verbal protocols, automatically- recorded keystrokes, or complete videotape protocols, can be analyzed at different levels of detail and from different viewpoints. If raw behavioral data is stored in a powerful database, rather than a simple text file, many domains will allow some automatic interpretation of that data. In addition, the raw data can be compared with traces of an associated computational cognitive model to assess ... |
|
| A Quantitative Model of Expert Transcription Typing |
08 MAR 93 |
|
| Authors:
Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| The Model of Expert Transcription Typing (METT) is a quantitative model built within the architecture of the Model Human Processor (MHP, Card, Moran & Newell, 1983). As such, it can be used to make quantitative predictions of performance on typing tasks, can be integrated with other MHP-based models of performance (e.g., choice reaction time), and can be extended to other typing- like domains (e.g., a data-entry task). In this paper, ... |
|
| Human-Computer Interaction in the School of Computer Science |
OCT 92 |
26 pages |
| Authors:
Bonnie E. John; Philip L. Miller; Brad A. Myers; Christine M. Neuwirth; Steven A. Shafer; CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
|
| The SCS faculty interested in Human-Computer Interaction (HCI) presents its position on what role HCI can play in Carnegie Mellon's School of Computer Science. We present a short description of the need for HCI research and recommend a task/human/computer approach to satisfying that need. After presenting illustrative research scenarios, we draw implications of adopting this approach for our research and educational programs. SCS is well positioned to implement this approach, ... |
|
| Towards Real-Time GOMS |
28 DEC 90 |
|
| Authors:
Bonnie E. John; Alonso H. Vera; Allen Newell; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
|
| We present an analysis of an expert performing a highly interactive computer task. The analysis uses GOMs models are implemented within an unified theory of cognition called Soar. Two models are presented, one with function- level operators which perform high level functions in the domain, and one with keystroke level operators which describe hand movements. For a segment of behavior in which the expert accomplished about 30 functions in about ... |
|
| Contributions to Engineering Models of Human-Computer Interaction. Volume 1 |
06 MAY 88 |
|
| Authors:
Bonnie E. John; CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF PSYCHOLOGY
|
| This dissertation presents two engineering models of behavior at the human-computer interface; a model of immediate behavior stimulus-response compatibility and a model of transcription typing. Formulated within the architecture of the Model Human Processor of Card, Moran and Newell, these models are able to make zero-parameter, quantitative predictions of human response time in their respective domains. They are also completely integrated, making good predictions about performance on a dual reaction-time/typing ... |
|
Reports by Author
