The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Allen Cypher - One of the best experts on this subject based on the ideXlab platform.
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no code required giving users tools to transform the web
2010Co-Authors: Allen Cypher, Tessa Lau, Mira Dontcheva, Jeffrey NicholsAbstract:Revolutionary tools are emerging from research labs that enable all computer users to customize and automate their use of the Web without learning how to program. No Code Required takes cutting edge material from academic and industry leaders - the people creating these tools -- and presents the research, development, application, and impact of a variety of new and emerging systems. *The first book since Web 2.0 that covers the latest research, development, and systems emerging from HCI research labs on end user Programming tools *Featuring contributions from the creators of Adobe?s Zoetrope and Intel?s Mash Maker, discussing test results, implementation, feedback, and ways forward in this booming area *Companion Web site features video demonstrations of each system (http://www.elsevierdirect.com/v2/companion.jsp?ISBN=9780123815415) Table of Contents Introduction End User Programming on the Web Allen Cypher (IBM) Why We Customize the Web Robert Miller (MIT) I. End User Programming Languages for the Web Sloppy Programming Greg Little (MIT) Mixing the reactive with the personal: Opportunities for end user Programming in Personal information management (system) Max Van Kleek (MIT) Going beyond PBD: A Play-by-Play and Mixed-initiative Approach (system) Hyuckchul Jung (Institute for Human and Machine Cognition) Rewriting the Web with Chickenfoot (system) Robert Miller (MIT) A Goal-Oriented Web Browser (system) Alexander Faaborg (Mozilla) II. Systems and Applications Clip, Connect, Clone: Combining Application Elements to Build Custom Interfaces for Information Access (system) Jun Fujima (Hokkaido) Mash Maker (system) Robert Ennals (Intel) Collaborative scripting on the web (system) Tessa Lau (IBM) Programming by a Sample: Rapidly Creating Web Applications with d.mix (system) Bjorn Hartmann (Stanford) Highlight: End User Mobilization of Existing Web Sites (system) Jeffrey Nichols (IBM) Subjunctive Interfaces for the Web Aran Lunzer (University of Copenhagen) From Web Summaries to Search Templates: Automation for Personal Web Content (system) Mira Dontcheva (Adobe Systems) Access to the Temporal Web Through Zoetrope (system) Eytan Adar (University of Washington) Enabling End Users to Independently Build Accessibility into the Web Jeffrey Bigham (University of Washington) Social Accessibility: A Collaborative Approach For Improving Web Accessibility (system) Yevgen Borodin (Stony Brook) III. Data Management and Interoperability A World Wider than the Web: End User Programming Across Multiple Domains (system) Will Haines (SRI) Knowing What You're Talking About: Natural Language Programming of a Multi-Player Online Game (system) Henry Lieberman (MIT) IV. User Studies Mashups for Web-Active End Users Nan Zang (Penn State) Mashed layers and muddled models: debugging mashup applications M. Cameron Jones (Yahoo!) Reuse in the world of end-user programmers Christopher Scaffidi (CMU) Using Web Search to Write Programs Joel Brandt (Stanford)
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chapter 15 Sloppy Programming
No Code Required#R##N#Giving Users Tools to Transform the Web, 2010Co-Authors: Greg Little, Robert C. Miller, Victoria H. Chou, Michael S. Bernstein, Tessa Lau, Allen CypherAbstract:Publisher Summary The essence of Sloppy Programming is that the user should be able to enter something simple and natural, such as a few keywords, and the computer should try everything within its power to interpret and make sense of this input. This chapter discusses several prototypes that implement Sloppy Programming, translating Sloppy commands directly into executable code. It also describes the algorithms used in these prototypes, exposes their limitations, and proposes directions for future work. The techniques described in this discussion still just scratch the surface of a domain with great potential: translating Sloppy commands into executable code. It has described potential benefits to end users and expert programmers alike, as well as advocated a continued need for textual command interfaces. A number of prototypes are discussed exploring this technology and what one can learn from them, including the fact that users can form commands for some of these systems without any training. Finally, it gave some high-level technical details about how to go about actually implementing Sloppy translation algorithms, with some references for future reading.
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koala capture share automate personalize business processes on the web
Human Factors in Computing Systems, 2007Co-Authors: Greg Little, Tessa Lau, Allen Cypher, James Lin, Eben M Haber, Eser KandoganAbstract:We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative Programming-by-demonstration system that records, edits, and plays back user interactions as pseudo-natural language scripts that are both human- and machine-interpretable. Unlike previous Programming by demonstration systems, Koala leverages Sloppy Programming that interprets pseudo-natural language instructions (as opposed to formal syntactic statements) in the context of a given web page's elements and actions. Koala scripts are automatically stored in the Koalescence wiki, where a community of users can share, run, and collaboratively develop their "how-to" knowledge. Koala also takes advantage of corporate and personal data stores to automatically generalize and instantiate user-specific data, so that scripts created by one user are automatically personalized for others. Our initial experiences suggest that Koala is surprisingly effective at interpreting instructions originally written for people.
Tessa Lau - One of the best experts on this subject based on the ideXlab platform.
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no code required giving users tools to transform the web
2010Co-Authors: Allen Cypher, Tessa Lau, Mira Dontcheva, Jeffrey NicholsAbstract:Revolutionary tools are emerging from research labs that enable all computer users to customize and automate their use of the Web without learning how to program. No Code Required takes cutting edge material from academic and industry leaders - the people creating these tools -- and presents the research, development, application, and impact of a variety of new and emerging systems. *The first book since Web 2.0 that covers the latest research, development, and systems emerging from HCI research labs on end user Programming tools *Featuring contributions from the creators of Adobe?s Zoetrope and Intel?s Mash Maker, discussing test results, implementation, feedback, and ways forward in this booming area *Companion Web site features video demonstrations of each system (http://www.elsevierdirect.com/v2/companion.jsp?ISBN=9780123815415) Table of Contents Introduction End User Programming on the Web Allen Cypher (IBM) Why We Customize the Web Robert Miller (MIT) I. End User Programming Languages for the Web Sloppy Programming Greg Little (MIT) Mixing the reactive with the personal: Opportunities for end user Programming in Personal information management (system) Max Van Kleek (MIT) Going beyond PBD: A Play-by-Play and Mixed-initiative Approach (system) Hyuckchul Jung (Institute for Human and Machine Cognition) Rewriting the Web with Chickenfoot (system) Robert Miller (MIT) A Goal-Oriented Web Browser (system) Alexander Faaborg (Mozilla) II. Systems and Applications Clip, Connect, Clone: Combining Application Elements to Build Custom Interfaces for Information Access (system) Jun Fujima (Hokkaido) Mash Maker (system) Robert Ennals (Intel) Collaborative scripting on the web (system) Tessa Lau (IBM) Programming by a Sample: Rapidly Creating Web Applications with d.mix (system) Bjorn Hartmann (Stanford) Highlight: End User Mobilization of Existing Web Sites (system) Jeffrey Nichols (IBM) Subjunctive Interfaces for the Web Aran Lunzer (University of Copenhagen) From Web Summaries to Search Templates: Automation for Personal Web Content (system) Mira Dontcheva (Adobe Systems) Access to the Temporal Web Through Zoetrope (system) Eytan Adar (University of Washington) Enabling End Users to Independently Build Accessibility into the Web Jeffrey Bigham (University of Washington) Social Accessibility: A Collaborative Approach For Improving Web Accessibility (system) Yevgen Borodin (Stony Brook) III. Data Management and Interoperability A World Wider than the Web: End User Programming Across Multiple Domains (system) Will Haines (SRI) Knowing What You're Talking About: Natural Language Programming of a Multi-Player Online Game (system) Henry Lieberman (MIT) IV. User Studies Mashups for Web-Active End Users Nan Zang (Penn State) Mashed layers and muddled models: debugging mashup applications M. Cameron Jones (Yahoo!) Reuse in the world of end-user programmers Christopher Scaffidi (CMU) Using Web Search to Write Programs Joel Brandt (Stanford)
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chapter 15 Sloppy Programming
No Code Required#R##N#Giving Users Tools to Transform the Web, 2010Co-Authors: Greg Little, Robert C. Miller, Victoria H. Chou, Michael S. Bernstein, Tessa Lau, Allen CypherAbstract:Publisher Summary The essence of Sloppy Programming is that the user should be able to enter something simple and natural, such as a few keywords, and the computer should try everything within its power to interpret and make sense of this input. This chapter discusses several prototypes that implement Sloppy Programming, translating Sloppy commands directly into executable code. It also describes the algorithms used in these prototypes, exposes their limitations, and proposes directions for future work. The techniques described in this discussion still just scratch the surface of a domain with great potential: translating Sloppy commands into executable code. It has described potential benefits to end users and expert programmers alike, as well as advocated a continued need for textual command interfaces. A number of prototypes are discussed exploring this technology and what one can learn from them, including the fact that users can form commands for some of these systems without any training. Finally, it gave some high-level technical details about how to go about actually implementing Sloppy translation algorithms, with some references for future reading.
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koala capture share automate personalize business processes on the web
Human Factors in Computing Systems, 2007Co-Authors: Greg Little, Tessa Lau, Allen Cypher, James Lin, Eben M Haber, Eser KandoganAbstract:We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative Programming-by-demonstration system that records, edits, and plays back user interactions as pseudo-natural language scripts that are both human- and machine-interpretable. Unlike previous Programming by demonstration systems, Koala leverages Sloppy Programming that interprets pseudo-natural language instructions (as opposed to formal syntactic statements) in the context of a given web page's elements and actions. Koala scripts are automatically stored in the Koalescence wiki, where a community of users can share, run, and collaboratively develop their "how-to" knowledge. Koala also takes advantage of corporate and personal data stores to automatically generalize and instantiate user-specific data, so that scripts created by one user are automatically personalized for others. Our initial experiences suggest that Koala is surprisingly effective at interpreting instructions originally written for people.
Lau Tessa - One of the best experts on this subject based on the ideXlab platform.
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Sloppy Programming
'Elsevier BV', 2019Co-Authors: Little, Danny Greg, Miller, Robert C., Chou, Victoria H, Bernstein, Michael Scott), Cypher Allen, Lau TessaAbstract:The essence of Sloppy Programming is that the user should be able to enter something simple and natural, such as a few keywords, and the computer should try everything within its power to interpret and make sense of this input. This chapter discusses several prototypes that implement Sloppy Programming, translating Sloppy commands directly into executable code. It also describes the algorithms used in these prototypes, exposes their limitations, and proposes directions for future work. The techniques described in this discussion still just scratch the surface of a domain with great potential: translating Sloppy commands into executable code. It has described potential benefits to end users and expert programmers alike, as well as advocated a continued need for textual command interfaces. A number of prototypes are discussed exploring this technology and what one can learn from them, including the fact that users can form commands for some of these systems without any training. Finally, it gave some high-level technical details about how to go about actually implementing Sloppy translation algorithms, with some references for future reading.National Science Foundation (U.S.) (award number IIS-044780)Quanta Computer (Firm) (T-Party project
Greg Little - One of the best experts on this subject based on the ideXlab platform.
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chapter 15 Sloppy Programming
No Code Required#R##N#Giving Users Tools to Transform the Web, 2010Co-Authors: Greg Little, Robert C. Miller, Victoria H. Chou, Michael S. Bernstein, Tessa Lau, Allen CypherAbstract:Publisher Summary The essence of Sloppy Programming is that the user should be able to enter something simple and natural, such as a few keywords, and the computer should try everything within its power to interpret and make sense of this input. This chapter discusses several prototypes that implement Sloppy Programming, translating Sloppy commands directly into executable code. It also describes the algorithms used in these prototypes, exposes their limitations, and proposes directions for future work. The techniques described in this discussion still just scratch the surface of a domain with great potential: translating Sloppy commands into executable code. It has described potential benefits to end users and expert programmers alike, as well as advocated a continued need for textual command interfaces. A number of prototypes are discussed exploring this technology and what one can learn from them, including the fact that users can form commands for some of these systems without any training. Finally, it gave some high-level technical details about how to go about actually implementing Sloppy translation algorithms, with some references for future reading.
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koala capture share automate personalize business processes on the web
Human Factors in Computing Systems, 2007Co-Authors: Greg Little, Tessa Lau, Allen Cypher, James Lin, Eben M Haber, Eser KandoganAbstract:We present Koala, a system that enables users to capture, share, automate, and personalize business processes on the web. Koala is a collaborative Programming-by-demonstration system that records, edits, and plays back user interactions as pseudo-natural language scripts that are both human- and machine-interpretable. Unlike previous Programming by demonstration systems, Koala leverages Sloppy Programming that interprets pseudo-natural language instructions (as opposed to formal syntactic statements) in the context of a given web page's elements and actions. Koala scripts are automatically stored in the Koalescence wiki, where a community of users can share, run, and collaboratively develop their "how-to" knowledge. Koala also takes advantage of corporate and personal data stores to automatically generalize and instantiate user-specific data, so that scripts created by one user are automatically personalized for others. Our initial experiences suggest that Koala is surprisingly effective at interpreting instructions originally written for people.
Jeffrey Nichols - One of the best experts on this subject based on the ideXlab platform.
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no code required giving users tools to transform the web
2010Co-Authors: Allen Cypher, Tessa Lau, Mira Dontcheva, Jeffrey NicholsAbstract:Revolutionary tools are emerging from research labs that enable all computer users to customize and automate their use of the Web without learning how to program. No Code Required takes cutting edge material from academic and industry leaders - the people creating these tools -- and presents the research, development, application, and impact of a variety of new and emerging systems. *The first book since Web 2.0 that covers the latest research, development, and systems emerging from HCI research labs on end user Programming tools *Featuring contributions from the creators of Adobe?s Zoetrope and Intel?s Mash Maker, discussing test results, implementation, feedback, and ways forward in this booming area *Companion Web site features video demonstrations of each system (http://www.elsevierdirect.com/v2/companion.jsp?ISBN=9780123815415) Table of Contents Introduction End User Programming on the Web Allen Cypher (IBM) Why We Customize the Web Robert Miller (MIT) I. End User Programming Languages for the Web Sloppy Programming Greg Little (MIT) Mixing the reactive with the personal: Opportunities for end user Programming in Personal information management (system) Max Van Kleek (MIT) Going beyond PBD: A Play-by-Play and Mixed-initiative Approach (system) Hyuckchul Jung (Institute for Human and Machine Cognition) Rewriting the Web with Chickenfoot (system) Robert Miller (MIT) A Goal-Oriented Web Browser (system) Alexander Faaborg (Mozilla) II. Systems and Applications Clip, Connect, Clone: Combining Application Elements to Build Custom Interfaces for Information Access (system) Jun Fujima (Hokkaido) Mash Maker (system) Robert Ennals (Intel) Collaborative scripting on the web (system) Tessa Lau (IBM) Programming by a Sample: Rapidly Creating Web Applications with d.mix (system) Bjorn Hartmann (Stanford) Highlight: End User Mobilization of Existing Web Sites (system) Jeffrey Nichols (IBM) Subjunctive Interfaces for the Web Aran Lunzer (University of Copenhagen) From Web Summaries to Search Templates: Automation for Personal Web Content (system) Mira Dontcheva (Adobe Systems) Access to the Temporal Web Through Zoetrope (system) Eytan Adar (University of Washington) Enabling End Users to Independently Build Accessibility into the Web Jeffrey Bigham (University of Washington) Social Accessibility: A Collaborative Approach For Improving Web Accessibility (system) Yevgen Borodin (Stony Brook) III. Data Management and Interoperability A World Wider than the Web: End User Programming Across Multiple Domains (system) Will Haines (SRI) Knowing What You're Talking About: Natural Language Programming of a Multi-Player Online Game (system) Henry Lieberman (MIT) IV. User Studies Mashups for Web-Active End Users Nan Zang (Penn State) Mashed layers and muddled models: debugging mashup applications M. Cameron Jones (Yahoo!) Reuse in the world of end-user programmers Christopher Scaffidi (CMU) Using Web Search to Write Programs Joel Brandt (Stanford)