Dr. Maliheh Ghajargar
- Education:
- University of Tehran, Bachelor of Arts
University of Turin, Bachelor of Science
University of Turin, Master of Science
University of Turin, Ph.D.
Biography
Dr. Maliheh Ghajargar is an Assistant Professor at the Wilkinson College of Arts, Humanities and Social Sciences, Chapman University. Prior to joining Chapman University, she held an assistant professorship position at Malmö University, Sweden and a post-doc position at Amsterdam University of Applied Sciences, The Netherlands.
Her research is in the areas of Graspable AI, Human-AI creative collaboration, and posthumanistic design. In her research she uses qualitative and self-reflexive methods such as autoethnography and autobiographical design, as well as co-design workshops and interviews, to learn about people’s experiences and their interactions with non-humans.
Her research has been published by top-ranked journals in the field of design and HCI, such as MIT Design Issues, The Design Journal, International Journal of Design, ACM interactions, and Digital Creativity. Her scholarly works have been also published in HCI and design conference proceedings such as ACM CHI, ACM TEI, NordiCHI, and EAD. She has organized several workshops in international venues such as ACM TEI and NordiCHI conferences on the topics of UX of AI and Graspable AI.
She has been part of conference program committees as Associate Chair at the ACM TEI, DIS, CHI conferences and Doctoral Consortium Chair at the Academic MindTrek conference.
Recent Creative, Scholarly Work and Publications
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Angenius, Max, and Maliheh Ghajargar. “Design Principles for Interactive and Reflective Journaling with AI.” In Intelligent Computing, edited by Kohei Arai, 62–81. Lecture Notes in Networks and Systems. Cham: Springer Nature Switzerland, 2023.
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Angenius, Max, and Maliheh Ghajargar. “Interactive Journaling with AI: Probing into Words and Language as Interaction Design Materials.” In Chatbot Research and Design, edited by Asbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, and Petter Bae Brandtzaeg, 150–70. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2023.
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Ghajargar, M., Bardzell J., Lagerkvist, L. (2022). A Redhead Walks into a Bar: Experiences of Writing Fiction with Artificial Intelligence. Proceedings of the 13th ACM MindTrek, International Technology Conference, Tampere, Finland. ACM, New York, NY, USA.
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Ghajargar, M., Bardzell, J. (2022). Learning About Plant Intelligence from a Flying Plum Tree: Music Recommendations and Posthuman User Experience. Proceedings of the 13th ACM MindTrek, International Technology Conference, Tampere, Finland. ACM, New York, NY, USA.
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Ghajargar, M., Bardzell, J. (2022). Making AI Understandable by Making it Tangible: Exploring the Design Space with Ten Concept Cards. Proceedings of the 34th ACM Australian Conference on Human-Computer Interaction (OzCHI’22). ACM, New York, NY, USA. https://doi.org/10.1145/3572921.3572942
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Ghajargar, M., Bardzell, J., Smith Renner, A., Höök, K., Gall Krogh, P. (2022). Graspable AI: Physical Forms as Explanation Modality for Explainable AI. In Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’22). ACM, New York, NY, USA.
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Ghajargar, M., Bardzell, J., Smith Renner, A., Gall Krogh, P., Höök, K., Cuartielles, D., Boer, L., Wiberg, M. (2021). From ”Explainable AI” to ”Graspable AI”. In Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’21), February 14–17, 2021, Salzburg, Austria. ACM, New York, NY, USA.