Metamouse: specifying graphical procedures by example

Maulsby, David; Witten, Ian H.; Kittlitz, Kenneth A.

doi:10.1145/74334.74346

Cited by 36 publications

(12 citation statements)

References 17 publications

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“…Other techniques that may be used to give feedback in PBD systems include animation [14], questions and answers (16,261, and auditory cues [13]. Another technique we can use to specify behavior is by selecting from a list of known behaviors and attaching it to a drawn element.…”

mentioning

confidence: 99%

Interactive sketching for the early stages of user interface design

Landay

Myers

1995

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '95

347

118

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Current interactive user interface construction tools are often more of a hindrance than a benefit during the early stages of user interface design. These tools take too much time to use and force designers to specify more of the design details than they wish to at this early stage. Most interface designers, especially those who have a background in graphic design, prefer to sketch early interface ideas on paper or on a white-board. We are developing an interactive tool that allows designers to quickly sketch an interface using an electronic pad and stylus. Our tool preserves the important properties of paper: A rough drawing can be produced very quickly and the medium is very flexible. However, unlike a paper sketch this electronic sketch can easily be exercised and modified. In addition, our system allows designers to examine, annotate, and edit a complete history of the design. When the designer is satisfied with this early prototype, the system can transform the sketch into a complete, finished interface in a specified look-andfeel. This transformation takes place with the guidance of the designer. By supporting the early design phases of the software life-cycle, our tool should both ease the prototyping of user interfaces and improve the speed with which a final interface can be created.

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mentioning

confidence: 99%

Interactive sketching for the early stages of user interface design

Landay

Myers

1995

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '95

347

118

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“…DnG here can be seen as a simplified version of programming by example or demonstration (PBE, PBD) techniques [9,19]. These systems observe the user's repetitive operations and try to construct a complete program by extracting rules.…”

Section: Spreadsheetsmentioning

confidence: 99%

Drag-and-Guess: Drag-and-Drop with Prediction

Nishida

Igarashi

2007

Lecture Notes in Computer Science

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Abstract. Drag-and-guess is an extension of drag-and-drop that uses predictions which is based on application specific knowledge. As the user begins to drag an object, the system predicts the drop target and presents the result to the user. When the target is hidden in a closed folder or beneath other windows, the system makes it temporarily visible. This frees users from manual preparation such as expanding a folder tree or uncovering the target location. The user can accept the prediction by throwing the object, which then flies to the target. Or, if the prediction is unsatisfactory, the user can ignore it and perform the operation as usual. We built three prototype applications (email client, spreadsheet and overlapping windows) to show that DnG is useful in many applications. Results of the user study show that the proposed technique can improve task performance when the task is difficult to complete manually and reasonable prediction algorithm is available.

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“…For example, Eager (Cypher, 1991) detects and automates a user's repetitive actions in HyperCard; it matches examples by parsing text strings and by testing numerical relationships. Metamouse (Maulsby, 1989) learns drawing tasks from demonstrations; it applies rules to find significant graphical constraints.…”

Section: Intelligent Agentsmentioning

confidence: 99%

Prototyping an intelligent agent through Wizard of Oz

Maulsby

Greenberg

Mander

1993

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '93

191

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Turvy is a simulated prototype of an instructible agent. The user teaches it by demonstrating actions and pointing at or talking about relevant data. We formalized our assumptions about what could be implemented, then used the Wizard of Oz to flesh out a design and observe users' reactions as they taught several editing tasks. We found: a) all users invent a similar set of commands to teach the agent; b) users learn the agent's language by copying its speech; c) users teach simple tasks with ease and complex ones with reasonable effort; and d) agents cannot expect users to point to or identify critical features without prompting.In conducting this rather complex simulation, we learned some lessons about using the Wizard of Oz to prototype intelligent agents: a) design of the simulation benefits greatly from prior implementation experience; b) the agent's behavior and dialog capabilities must be based on formal models; c) studies of verbal discourse lead directly to an implementable system; d) the designer benefits greatly by becoming the Wizard; and e) qualitative data is more valuable for answering global concerns, while quantitative data validates accounts and answers fine-grained questions.

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Metamouse: specifying graphical procedures by example

Cited by 36 publications

References 17 publications

Interactive sketching for the early stages of user interface design

Interactive sketching for the early stages of user interface design

Drag-and-Guess: Drag-and-Drop with Prediction

Prototyping an intelligent agent through Wizard of Oz

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