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Fuzzy Feelings: Arousal’s Interpretive Noise and the Case for Acoustic-Based Haptics

  • Rochester Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Captions rarely convey emotional nuances in speech, leaving Deaf and Hard-of-Hearing (dhh) viewers without access to tonal and affective information. We present a two-part mixed-methods study on how haptic feedback can communicate vocal emotion without adding visual load. In Part 1, we replicated an arousal-driven captioning approach using speech-emotion-recognition to modulate typographic weight and vibration intensity. Participants showed divergent mental models and often mapped “more vibration” to loudness rather than emotional arousal, underscoring the construct’s conceptual fuzziness. In Part 2, we evaluated five acoustic-to-haptic mappings that bypass affective inference and translate pitch, rhythm, and waveform cues into vibration patterns. No single pattern dominated, but participants associated options such as pulse or sawtooth with high-arousal emotions, and pitch-normalized signals with calmer states. We derive design guidelines emphasizing contrastive, acoustically grounded mappings and user control for integrating emotional haptics into short-form, captioned media.
Original languageEnglish
Title of host publicationProceedings of the 2026 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Pages1-13
Number of pages13
ISBN (Print)9798400722783
DOIs
Publication statusPublished (VoR) - 13 Apr 2026

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