Lucida: Enhancing the creation of photography with an Augmented Intelligence Digital Photography Agent

dc.contributor.advisorGadbois, Denis
dc.contributor.advisorJacob, Christian J.
dc.contributor.authorWrobleski, Brad
dc.contributor.committeememberLeblanc, Jean-René
dc.description.abstractThis thesis explores the research, design and development of a mobile intelligent agent to assist photographers. This work explores the integration of Augmented Reality (AR), Affective Computing (AC), Natural Language Processing (NLP), Computer Vision (CV), and more specifically, Machine Learning (ML) to make possible, the development of a mobile, sympathetic, ambient (virtual), augmented intelligence application (Agent) for assisting photographers. For this research, a prototype agent was designed (Lucida) and developed to assist photographers to enhance the understanding and creation of photographic metering and composition. Learning the art of photography is complicated because of the technical complexity of the camera, the limitations of the user to see photographically, and the lack of real time instruction, feedback and emotive support. A study was completed to measure the effect of how an artificially intelligent agent could communicate photography information. The study explored the communication and pedagogical patterns between human instructor and student and the disparity between human ability and the camera [71]. It analyzed how to transmute the communication and pedagogical values of the human to human experience to the digital milieu using Unsupervised Learning. This research specifically explored how an agent could be trained using the values and attributes of the act of photography and mimic the relationship with an instructor using artificial intelligence. This research focuses on designing and training the agent to find and identify an objective determination of tones in a photography scene (quantitative) and the subjective identification of composition possibilities (intuitive). This thesis illuminates the effectiveness and cogency of Agent based instruction and communication. Further, it demonstrates that a mobile, semantic, sympathetic, augmented, ambient agent can ameliorate the practice of photography in real time, on location by acting as the virtual intelligence to guide photographers. It shows that the integration of specific technologies, and design, produces an effective architecture for the creation of intelligent agent-based assistance.en_US
dc.identifier.citationWrobleski, B. (2018). Lucida: Enhancing the creation of photography with an Augmented Intelligence Digital Photography Agent (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from doi:10.11575/PRISM/33228en_US
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectAffective Computing. Augmented Reality. Agent. Artificial Intelligence. Interaction Design. Machine Learning. Natural Language Processing. Computer vision. Voice Interaction. Information Architecture. Decision theory. Game theory. Instructional technology. Reinforcement Learning.
dc.subject.classificationDesign and Decorative Artsen_US
dc.subject.classificationInformation Scienceen_US
dc.subject.classificationSpeech Communicationen_US
dc.subject.classificationEducational Psychologyen_US
dc.subject.classificationArtificial Intelligenceen_US
dc.subject.classificationComputer Scienceen_US
dc.titleLucida: Enhancing the creation of photography with an Augmented Intelligence Digital Photography Agent
dc.typemaster thesis Media Design of Calgary of Science (MSc)
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