“Diego has a rare combination of deep technical expertise, artistic abilities, and empathetic and exemplary leadership. Putting these together is more than the sum of its parts, and I feel really fortunate I got to work closely with Diego in our time at Power BI.”
Activity
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Are we about to lose a generation of designers? AI is absorbing the exact work early-career designers used to learn through. Entry-level roles are…
Are we about to lose a generation of designers? AI is absorbing the exact work early-career designers used to learn through. Entry-level roles are…
Liked by Diego Perez
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Why Are Phone and Calculator Keypads Opposite? 🤔 It's not random! There’s a lot of history and design thinking behind it. 🔢 Calculators came…
Why Are Phone and Calculator Keypads Opposite? 🤔 It's not random! There’s a lot of history and design thinking behind it. 🔢 Calculators came…
Liked by Diego Perez
Experience
Education
Publications
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Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups
ACM New York, NY, USA ©2009
See publicationWhile 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.
Patents
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Automatic Context Discovery
Filed US 20110179060
See patentAn 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.
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Automatic Aggregation Across Data Stores and Content Types
Filed US 20110179049
See patentProject-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.
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Extraction and publication of reusable organizational knowledge
Filed US 20110179061
See patentAn 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.
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Automatic question and answer detection
Issued US 8560567
See patentAutomatic 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.
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Summarization of conversation threads
Issued US 9116984
See patentAutomatically 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.
Languages
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Spanish
Native or bilingual proficiency
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English
Native or bilingual proficiency
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