A Feminist Arts-based Research Methodology: Augmented Reality (AR) Portrait painting in Dialogue
Open Access
- Author:
- Hajesmaeili Nooghi, Elham
- Graduate Program:
- Art Education
- Degree:
- Doctor of Philosophy
- Document Type:
- Dissertation
- Date of Defense:
- May 11, 2023
- Committee Members:
- Aaron Knochel, Major Field Member
Kimberly Powell, Major Field Member
Maha Marouan, Outside Unit & Field Member
Karen Keifer-Boyd, Chair & Dissertation Advisor
Karen Keifer-Boyd, Program Head/Chair - Keywords:
- augmented reality
portrait painting
AR art
woman life freedom
feminist knowledge
Iranian women
democratic knowledge
research methodology - Abstract:
- My dissertation focuses on developing a feminist arts-based research methodology in which I explore how Augmented Reality (AR) portrait painting is translated and conceptualized from interview data with Iranian immigrant women living in the United States. Taking AR portraiture as an artistic medium and utilizing its various potentials, such as virtuality and access to invisible visuality, dynamic and aesthetic interactivity, multimodal presentation, and hypertextuality, enable a comprehensive knowledge production that challenges conventional research paradigms and bridges epistemological and ontological gaps in humanities research. Through a sensitive, nuanced, and transformative process of translating the voices of marginalized individuals into artwork, the bitterness of their experiences is transformed into inspiring stories of triumph that create a sense of affective solidarity. AR portraiture methodology places value on the plurality and diverse subjective interpretations and encourages researchers, participants, and viewers to engage in collaborative meaning-making through dialogue. Creating such intersubjective and open-ended knowledge is particularly suitable for studying ongoing and complicated social and political issues. Multiple subjective perspectives and diverse interpretations in this methodology serve as credibility, authenticity, and truthfulness of the produced knowledge. The interdisciplinary and interpretive approach in AR portrait painting methodology offers a unique opportunity to create feminist, democratic, and affective knowledge through a collaborative, decolonizing, and engaging research process.