title: Chromatic ghost

authors: Soo, Chin-En Keith

abstract: "Chromatic Ghost" delves into the convergence of artificial intelligence and the emotional narrative of cinema, exploring how palettes can AI-generated colour visually express the emotional depth of films. The project aims to assess the capabilities of AI in understanding and translating human emotions into visual representations, questioning how effectively machines, which are increasingly embedded in our "Chromatic Ghost" is a creative experiment designed to investigate how AI can interpret and visualise human emotion in the context of film. In an era where artificial intelligence is increasingly intertwined with our daily lives, this work examines how well these technologies can grasp and reflect the complexities of human emotions, which are often considered too nuanced or abstract for machines to comprehend. lives, can interpret the intricacies of our emotional experiences. By using AI to generate emotion- based colour palettes and applying them to film frames, "Chromatic Ghost" transforms iconic cinematic scenes into layered, ethereal images that evoke the emotional core of the films in a spectral, dreamlike manner. The resulting visual compositions—ghostly, fragmented, and nuanced—invite viewers to contemplate both films' emotional resonance and AI’s role as a mediator of this experience.

text: Chromatic ghost "Chromatic Ghost" delves into the convergence of artificial intelligence and the emotional narrative of cinema, exploring how palettes can AI-generated colour visually express the emotional depth of films. The project aims to assess the capabilities of AI in understanding and translating human emotions into visual representations, questioning how effectively machines, which are increasingly embedded in our "Chromatic Ghost" is a creative experiment designed to investigate how AI can interpret and visualise human emotion in the context of film. In an era where artificial intelligence is increasingly intertwined with our daily lives, this work examines how well these technologies can grasp and reflect the complexities of human emotions, which are often considered too nuanced or abstract for machines to comprehend. lives, can interpret the intricacies of our emotional experiences. By using AI to generate emotion- based colour palettes and applying them to film frames, "Chromatic Ghost" transforms iconic cinematic scenes into layered, ethereal images that evoke the emotional core of the films in a spectral, dreamlike manner. The resulting visual compositions—ghostly, fragmented, and nuanced—invite viewers to contemplate both films' emotional resonance and AI’s role as a mediator of this experience.

year: 2024

title: An evaluation of mixed methods (diaries and focus groups) when working with older people

authors: Koopman-Boyden, Peggy G.

subjects: mixed methods

abstract: This paper considers the advantages and limitations of using mixed methods, diaries and focus groups in research with older people, specifically research investigating the interaction experiences of older individuals as customers, members and workers with public-, private- and community-based organisations. Drawing on the literature on mixed method integration, five distinct advantages were identified: development, completeness, expansion, offsetting and initiation. Two limitations were also noted: demands of the data collection on the participants and insufficient depth. Each is discussed in the context of the particular research project, with the suggestion that mixed methods be used in future research with older people.

text: An evaluation of mixed methods (diaries and focus groups) when working with older people This paper considers the advantages and limitations of using mixed methods, diaries and focus groups in research with older people, specifically research investigating the interaction experiences of older individuals as customers, members and workers with public-, private- and community-based organisations. Drawing on the literature on mixed method integration, five distinct advantages were identified: development, completeness, expansion, offsetting and initiation. Two limitations were also noted: demands of the data collection on the participants and insufficient depth. Each is discussed in the context of the particular research project, with the suggestion that mixed methods be used in future research with older people.

year: 2012

title: Reimagining community resilience through a Te Ao Maori worldview

authors: Boston, Megan

abstract: Efforts to improve community resilience have seen universal efforts to grow capabilities in disaster management for the built environment. Although comprehensive frameworks exist, the perspective used to derive these frameworks fails to address marginalised communities' vulnerabilities, including Indigenous Māori people. Colonization and socio-economic deprivation on Māori mean community response frameworks fail to reflect their values and specific needs when preparing and responding to natural disasters. The nature of Māori culture and values presents an opportunity to reimagine the scope of community resilience for an inclusive framework. The Māori history has resilient practices weaved into the very fabric of their culture, which knowledge has survived through the oral transmission of waiata, whakataukī, whakairo, and pūrakau. The practice of community resilience amongst ancient Māori was not consigned to singular events but instead is a holistic perspective to the manner of living. Sourcing and qualifying this information from people aligned and immersed in nature is the knowledge required to improve the frameworks to respond to natural disasters while expanding the literature on community resilience. A comprehensive analysis of traditional Māori resilience is conducted by evaluating a variety of Mātauranga Māori that relate to the resilient nature of Māori. This information is compared to modern Māori perceptions of community resilience using a derived earthquake scenario for the local Iwi Ngati Toa, located in the city of Porirua within the Wellington region. This information will enable a comprehensive definition of community resilience and improve disaster response frameworks to be more inclusive, safe, sustainable, and resilient.

text: Reimagining community resilience through a Te Ao Maori worldview Efforts to improve community resilience have seen universal efforts to grow capabilities in disaster management for the built environment. Although comprehensive frameworks exist, the perspective used to derive these frameworks fails to address marginalised communities' vulnerabilities, including Indigenous Māori people. Colonization and socio-economic deprivation on Māori mean community response frameworks fail to reflect their values and specific needs when preparing and responding to natural disasters. The nature of Māori culture and values presents an opportunity to reimagine the scope of community resilience for an inclusive framework. The Māori history has resilient practices weaved into the very fabric of their culture, which knowledge has survived through the oral transmission of waiata, whakataukī, whakairo, and pūrakau. The practice of community resilience amongst ancient Māori was not consigned to singular events but instead is a holistic perspective to the manner of living. Sourcing and qualifying this information from people aligned and immersed in nature is the knowledge required to improve the frameworks to respond to natural disasters while expanding the literature on community resilience. A comprehensive analysis of traditional Māori resilience is conducted by evaluating a variety of Mātauranga Māori that relate to the resilient nature of Māori. This information is compared to modern Māori perceptions of community resilience using a derived earthquake scenario for the local Iwi Ngati Toa, located in the city of Porirua within the Wellington region. This information will enable a comprehensive definition of community resilience and improve disaster response frameworks to be more inclusive, safe, sustainable, and resilient.

year: 2023