Project
Assumptions are commonplace across human interactions, but while some are harmless, others are not. The present intervention study uses healthcare narratives of invisible disability, which are poorly understood and rarely disclosed due to the stigma experienced by individuals, to reduce false assumptions of others on the basis of visual and semantic cues.
D. T. Kessler, D. Y. Kim, G. S. Ahn, N. Elhaouij and R. Picard, “Assessing Affective Engagement with Narratives of Invisible Disability,” in 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, MA, USA, 2023, pp. 1-8, doi: 10.1109/ACII59096.2023.10388159.
