Eager: Programming Repetitive Tasks by Example

Cypher, Allen

doi:10.1016/b978-0-08-051574-8.50083-2

Cited by 77 publications

(99 citation statements)

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“…The RPD system presented does not only provide automated inner induction, but supports these steps by user interaction. This is similar to approaches in the graphics editor domain (Maulsby & Witten, 1993;Cypher, 1991;Sassin, 1994) or learning agents (Bocionek & Sassin, 1993;Bocionek, 1995). It results in safer robot programs that more probably meet the user's intention.…”

Section: Rpd With Generalized Repetitionmentioning

confidence: 75%

Untitled

Friedrich¹,

Münch²,

Dillmann³

et al. 1996

Machine Learning

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Abstract. Programming by Demonstration (PbD) is a programming method that allows software developers to add new functionalities to a system by simply showing them in the form of few examples. In the robotics domain it has the potential to reduce the amount of time required for programming and also to make programming more "natural". Just imagine the task of assembling a torch by a manipulator. Wouldn't it be nice to just assemble the torch with one's own hands, watched by video and laser cameras and maybe wearing data gloves, i. e. sensors that provide the data to automatically generate the necessary robot program for the assembly task? And wouldn't it be even nicer to demonstrate the task with few different torches, but achieving an assembly function for all possible variants of them? In order to realize such a PbD environment, at least two major problems have to be solved. First, the sensor data have to be transformed to high-level situation-action descriptors, a task that is not yet solved in general. Second, if a generalization is required, induction algorithms must be applied to the recorded and transformed traces, aiming to find the most general user-intended function from only few examples. In this article we will concentrate only on the second problem. The described experimental environment consists of an industrial robot (PUMA 260b), a 6D teach mouse input device, and some sensors. Various data can be recorded during a demonstration for further processing in the PbD system running on a workstation. The objective is to explore the possibilities of integrating learning and clustering algorithms for automated robot programming. In particular it is investigated how human interaction within system-as well as user-initiated dialogs can support the induction component.

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Section: Rpd With Generalized Repetitionmentioning

confidence: 75%

Untitled

Friedrich¹,

Münch²,

Dillmann³

et al. 1996

Machine Learning

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“…Thus Mixer presents a strong distinction between user actions (before invocation) and system actions (after invocation). This separation of activity is stricter in Mixer than in some PBD systems, such as Eager [8], which assist the user in deciding when to invoke the observed behavior.…”

Section: Related Workmentioning

confidence: 99%

Mixer: Mixed-Initiative Data Retrieval and Integration by Example

Gardiner

Tomasic

Zimmerman

et al. 2011

Human-Computer Interaction – INTERACT 2011

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Abstract. Office administrators are frequently asked to create ad hoc reports based on web accessible data. The web contains the desired data but does not allow efficient access in the way the administrator needs, prompting a tedious and labor-intensive task of retrieving and integrating the required data. Mixer is a programming-by-demonstration (PBD) tool empowering administrators to construct ad hoc reports from diverse web sources without tedious piecemeal labor. Mixer's design builds on the exploration into end user conceptualization of data retrieval tasks from our previous Wizard-of-Oz study [39], and incorporates insights from mixed-initiative researchers into collaboration between end users and software agents. This paper justifies the design decisions that drive Mixer, focusing on general lessons for designers of programming-bydemonstration systems targeting nonprogrammers. We evaluate Mixer by performing a user study showing that administrators are able to accomplish programming tasks without needing to understand programming concepts for data retrieval and integration.

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“…Cypher's work [Cy91], Beale and Finlay's 1992 edited collection [BF92], and more recently Lieberman's "Your Wish is My Command" [Li01]), but has never 'made it' into mainstream interfaces. This is partly because, as a formal problem, grammar induction is 'hard' and computationally expensive.…”

Section: Linking Action To Action: Inferring Task Sequencesmentioning

confidence: 99%

From the web of data to a world of action

Dix

Lepouras

Katifori

et al. 2010

Journal of Web Semantics

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: AbstractThis paper takes as its premise that the web is a place of action, not just information, and that the purpose of global data is to serve human needs. The paper presents several component technologies, which together work towards a vision where many small micro-applications can be threaded together using automated assistance to enable a unified and rich interaction. These technologies include data detector technology to enable any text to become a start point of semantic interaction; annotations for web-based services so that they can link data to potential actions; spreading activation over personal ontologies, to allow modelling of context; algorithms for automatically inferring 'typing' of web-form input data based on previous user inputs; and early work on inferring task structures from action traces. Some of these have already been integrated within an experimental web-based (extended) bookmarking tool, Snip!t, and a prototype desktop application On Time, and the paper discusses how the components could be more fully, yet more openly, linked in terms of both architecture and interaction. As well as contributing to the goal of an action and activity-focused web, the work also exposes a number of broader issues, theoretical, practical, social and economic, for the Semantic Web.

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Eager: Programming Repetitive Tasks by Example

Cited by 77 publications

References 1 publication

Untitled

Untitled

Mixer: Mixed-Initiative Data Retrieval and Integration by Example

From the web of data to a world of action

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