Diego Perez

Diego Perez

Seattle, Washington, United States
2K followers 500+ connections

Activity

Experience

  • North Seattle College Graphic
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    Greater Seattle Area

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    San Francisco Bay Area

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    Redmond, WA

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    Redmond, WA

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    Redmond, WA

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    Redmond, WA

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    301 College Ave, Ithaca, NY 14853

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    Ithaca, New York Area

Education

  • Cornell University Graphic

    Cornell University

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    Specializing in Human Computer Interaction, and Computer Graphics.

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Publications

  • Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

    ACM New York, NY, USA ©2009

    While most collaboration technologies are concerned with supporting particular tasks such as workflows or meetings, many work groups do not have the teamwork skills essential to effective collaboration. One way to improve teamwork is to provide dynamic feedback generated by automated analyses of behavior, such as language use. Such feedback can lead members to reflect on and subsequently improve their collaborative behavior, but might also distract from the task at hand. We have experimented…

    While most collaboration technologies are concerned with supporting particular tasks such as workflows or meetings, many work groups do not have the teamwork skills essential to effective collaboration. One way to improve teamwork is to provide dynamic feedback generated by automated analyses of behavior, such as language use. Such feedback can lead members to reflect on and subsequently improve their collaborative behavior, but might also distract from the task at hand. We have experimented with GroupMeter - a chat-based system that presents visual feedback on team members' language use. Feedback on proportion of agreement words and overall word count was presented using two different designs. When receiving feedback, teams in our study expressed more agreement in their conversations and reported greater focus on language use as compared to when not receiving feedback. This suggests that automated, real-time linguistic feedback can elicit behavioral changes, offering opportunities for future research.

    See publication

Patents

  • Automatic Context Discovery

    Filed US 20110179060

    An automatic discovery of content to add to a data store for a project is disclosed. A data item may be parsed for data features that are contextually relevant to a given project or task. Discovered interesting data may be extracted and mapped to various search mechanisms. A search may be built and applied to various data sources to discover data items based on the contextually relevant data features. Search results from various search mechanisms may be displayed in a single user interface and…

    An automatic discovery of content to add to a data store for a project is disclosed. A data item may be parsed for data features that are contextually relevant to a given project or task. Discovered interesting data may be extracted and mapped to various search mechanisms. A search may be built and applied to various data sources to discover data items based on the contextually relevant data features. Search results from various search mechanisms may be displayed in a single user interface and may be presented to a user.

    See patent
  • Automatic Aggregation Across Data Stores and Content Types

    Filed US 20110179049

    Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and…

    Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.

    See patent
  • Extraction and publication of reusable organizational knowledge

    Filed US 20110179061

    An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the…

    An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.

    See patent
  • Automatic question and answer detection

    Issued US 8560567

    Automatic detection of question and answer pairs contained in electronic communications channels is provided. Communications channels for a given enterprise, for example, emails, text message strings, and discussion forum strings are analyzed according to one or more features or patterns that are indicative of questions for detecting whether one or more questions are posed in a given communication. Next, answers that are relevant to identified questions are similarly identified by analyzing one…

    Automatic detection of question and answer pairs contained in electronic communications channels is provided. Communications channels for a given enterprise, for example, emails, text message strings, and discussion forum strings are analyzed according to one or more features or patterns that are indicative of questions for detecting whether one or more questions are posed in a given communication. Next, answers that are relevant to identified questions are similarly identified by analyzing one or more communications for features and patterns that are indicative of answers to a question, and more particularly, to an identified question. Once an identified question is linked to an identified answer, the linked question and answer pair is stored in a publicly available repository for future reference by users having access to the repository.

    See patent
  • Summarization of conversation threads

    Issued US 9116984

    Automatically summarizing electronic communication conversation threads is provided. Electronic mails, text messages, tasks, questions and answers, meeting requests, calendar items, and the like are processed via a combination of natural language processing and heuristics. For a given conversation thread, for example, an electronic mail thread associated with a given task, a text summary of the thread is generated to highlight the most important text in the thread. The text summary is presented…

    Automatically summarizing electronic communication conversation threads is provided. Electronic mails, text messages, tasks, questions and answers, meeting requests, calendar items, and the like are processed via a combination of natural language processing and heuristics. For a given conversation thread, for example, an electronic mail thread associated with a given task, a text summary of the thread is generated to highlight the most important text in the thread. The text summary is presented to a user in a visual user interface to allow the user to quickly understand the significance or relevance of the thread.

    See patent

Languages

  • Spanish

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

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