ACII2023 Submission: "Ethical Shifts in Development Contexts Toward Self-Orienting Technology Mindsets" [Version 1.0]
New York, NY
The ACII2023 submission represents the first formal articulation of the Resonance framework, a systems-level approach to affective computing that emphasizes bidirectional emotional learning between humans and machines. Building on theoretical foundations established in Readout 1.19, the paper proposed reorienting technological development toward collective wellbeing through what it terms "self-orienting design mindsets." Though the submission was not accepted, the peer review process provided valuable insights that continue to inform the framework's development.
Year: 2023
Medium: Academic paper submitted to IEEE International Conference on Affective Computing and Intelligent Interaction
Technical: Affective computing research
Midjourney image prompted by Watson Hartsoe
The ACII2023 submission marked an important milestone in translating practice-based insights into academic discourse, expanding the artist-as-interpreter model first articulated in Readout 1.19 into a proposed framework for ethical technological development. The paper critiqued market-centric paradigms that commodify emotion, advocating instead for methodologies that center individual and collective wellbeing. The submission process, including peer review feedback, helped clarify key aspects of the framework that required further development, particularly around methodological rigor and empirical validation.
The Resonance framework aims to essentially reshape how we approach emotional intelligence in technological development. Rather than treating emotion as a commodity to be extracted and analyzed, it proposes new methodologies for fostering genuine emotional awareness and growth through human-computer interaction. The ACII2023 submission represented a crucial first step in formalizing these ideas, particularly in establishing the theoretical foundations for "self-orienting design." As the framework continues to evolve, it will expand beyond critique to offer practical tools and methods for developing technology that aims to support human emotional intelligence. This includes creating approaches to emotion baseline measurement, building ethical frameworks for affective computing, and designing systems that support both individual and collective emotional intelligence. The feedback received through the submission process has been invaluable in clarifying these next phases of development, helping to bridge the gap between theoretical ambition and practical implementation.