The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform
Mohamad Reza Salahshoor - One of the best experts on this subject based on the ideXlab platform.
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communicating across voice and text channels with emotion preservation
2006Co-Authors: Balan Subramanian, Deepa Srinivasan, Mohamad Reza SalahshoorAbstract:Emotion across voice and text Communication channels are abstracted, preserved and translated. A voice Communication is received and analyzed for emotion content. The textual content of the Communication is realized summarily using word recognition techniques. The textual content is then analyzed for emotion content. Words and phrases derived from the word recognition are compared emotion words and phrases in a text mine database. The emotion from the two analyses is then used for marking up the textual content as emotion metadata. The text and emotion markup abstraction for a voice Communication can also be translated into a using text and emotion translation definitions. The translated emotion metadata is used to emotion mine words that have an emotion connotation in the culture of the second language. Those words are then substituted for corresponding words in the translated text. The translated text and emotion words are modulated into a synthesized voice and the delivery is adjusted using emotion voice patterns derived from the translated emotion metadata. Additionally, text and emotion markup abstractions can be archived as Artifacts of their original voice Communication and then be searched using emotion conditions for the context of the original Communication. A search query includes for Communication Artifact includes an emotion value and a context value that are used to sort the database Artifacts. Result Artifacts that contain matching emotion metadata, within the context constraint, are passed to the requestor for review.
Robert Hirschfeld - One of the best experts on this subject based on the ideXlab platform.
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Making the Domain Tangible: Implicit Object Lookup for Source Code Readability
Design Thinking Research, 2018Co-Authors: Patrick Rein, Marcel Taeumel, Robert HirschfeldAbstract:Programmers collaborate continuously with domain experts to explore the problem space and to shape a solution that fits the users’ needs. In doing so, all parties develop a shared vocabulary, which is above all a list of named concepts and their relationships to each other. Nowadays, many programmers favor object-oriented programming because it allows them to directly represent real-world concepts and interactions from the vocabulary as code. However, when existing domain data is not yet represented as objects, it becomes a challenge to initially bring existing domain data into object-oriented systems and to keep the source code readable. While source code might be comprehensible to programmers, domain experts can struggle, given their non-programming background. We present a new approach to provide a mapping of existing data sources into the object-oriented programming environment. We support keeping the code of the domain model compact and readable while adding implicit means to access external information as internal domain objects. This should encourage programmers to explore different ways to build the software system quickly. Eventually, our approach fosters Communication with the domain experts, especially at the beginning of a project. When the details in the problem space are not yet clear, the source code provides a valuable, tangible Communication Artifact.
Balan Subramanian - One of the best experts on this subject based on the ideXlab platform.
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communicating across voice and text channels with emotion preservation
2006Co-Authors: Balan Subramanian, Deepa Srinivasan, Mohamad Reza SalahshoorAbstract:Emotion across voice and text Communication channels are abstracted, preserved and translated. A voice Communication is received and analyzed for emotion content. The textual content of the Communication is realized summarily using word recognition techniques. The textual content is then analyzed for emotion content. Words and phrases derived from the word recognition are compared emotion words and phrases in a text mine database. The emotion from the two analyses is then used for marking up the textual content as emotion metadata. The text and emotion markup abstraction for a voice Communication can also be translated into a using text and emotion translation definitions. The translated emotion metadata is used to emotion mine words that have an emotion connotation in the culture of the second language. Those words are then substituted for corresponding words in the translated text. The translated text and emotion words are modulated into a synthesized voice and the delivery is adjusted using emotion voice patterns derived from the translated emotion metadata. Additionally, text and emotion markup abstractions can be archived as Artifacts of their original voice Communication and then be searched using emotion conditions for the context of the original Communication. A search query includes for Communication Artifact includes an emotion value and a context value that are used to sort the database Artifacts. Result Artifacts that contain matching emotion metadata, within the context constraint, are passed to the requestor for review.
Patrick Rein - One of the best experts on this subject based on the ideXlab platform.
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Making the Domain Tangible: Implicit Object Lookup for Source Code Readability
Design Thinking Research, 2018Co-Authors: Patrick Rein, Marcel Taeumel, Robert HirschfeldAbstract:Programmers collaborate continuously with domain experts to explore the problem space and to shape a solution that fits the users’ needs. In doing so, all parties develop a shared vocabulary, which is above all a list of named concepts and their relationships to each other. Nowadays, many programmers favor object-oriented programming because it allows them to directly represent real-world concepts and interactions from the vocabulary as code. However, when existing domain data is not yet represented as objects, it becomes a challenge to initially bring existing domain data into object-oriented systems and to keep the source code readable. While source code might be comprehensible to programmers, domain experts can struggle, given their non-programming background. We present a new approach to provide a mapping of existing data sources into the object-oriented programming environment. We support keeping the code of the domain model compact and readable while adding implicit means to access external information as internal domain objects. This should encourage programmers to explore different ways to build the software system quickly. Eventually, our approach fosters Communication with the domain experts, especially at the beginning of a project. When the details in the problem space are not yet clear, the source code provides a valuable, tangible Communication Artifact.
Deepa Srinivasan - One of the best experts on this subject based on the ideXlab platform.
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communicating across voice and text channels with emotion preservation
2006Co-Authors: Balan Subramanian, Deepa Srinivasan, Mohamad Reza SalahshoorAbstract:Emotion across voice and text Communication channels are abstracted, preserved and translated. A voice Communication is received and analyzed for emotion content. The textual content of the Communication is realized summarily using word recognition techniques. The textual content is then analyzed for emotion content. Words and phrases derived from the word recognition are compared emotion words and phrases in a text mine database. The emotion from the two analyses is then used for marking up the textual content as emotion metadata. The text and emotion markup abstraction for a voice Communication can also be translated into a using text and emotion translation definitions. The translated emotion metadata is used to emotion mine words that have an emotion connotation in the culture of the second language. Those words are then substituted for corresponding words in the translated text. The translated text and emotion words are modulated into a synthesized voice and the delivery is adjusted using emotion voice patterns derived from the translated emotion metadata. Additionally, text and emotion markup abstractions can be archived as Artifacts of their original voice Communication and then be searched using emotion conditions for the context of the original Communication. A search query includes for Communication Artifact includes an emotion value and a context value that are used to sort the database Artifacts. Result Artifacts that contain matching emotion metadata, within the context constraint, are passed to the requestor for review.