🤖 AI Summary
This study investigates how auditory and visual triggers—such as chewing sounds and specific video content—elicit intense negative emotional responses and avoidance behaviors among individuals with misophonia on digital platforms, ultimately contributing to their marginalization in social and professional participation. Through semi-structured interviews with 16 participants across platforms including TikTok, Instagram, Zoom, and Discord, and grounded in human-computer interaction and inclusive design theories, the research offers the first systematic account of the experiential challenges faced by misophonia users in remote digital interactions. It identifies food-related behaviors and uncontrolled media content as primary triggers and proposes three novel design interventions: fine-grained trigger control, real-time detection mechanisms, and shared preference systems, thereby establishing an empirical foundation and design paradigm for creating more inclusive digital environments for individuals with misophonia.
📝 Abstract
Misophonia, characterized by intense negative reactions to specific sounds or related visual cues, remains poorly recognized in clinical settings yet profoundly affects daily life. This study examines how individuals with misophonia experience and sometimes avoid technology that amplifies their triggers. Drawing on 16 semi-structured interviews with U.S. adults recruited from online communities, we explore how social media platforms such as TikTok and Instagram, along with remote communication tools like Zoom and Discord, shape coping strategies and patterns of non-use. Participants described frequent distress from uncontrollable audiovisual content and food-related behaviors during virtual gatherings. We propose design interventions -- including channel-specific audio-visual controls, real-time trigger detection, and shared preference tools -- to better support misophonic users and reduce exclusion in increasingly mediated social and professional contexts.