Dynamic Signal Formation: A Longitudinal Case Study of Steve Jobs’s Voice
Keywords:
signaling theory, dynamic signaling, vocal signals, nonverbal communication, longitudinal analysisAbstract
Existing signaling research has predominantly focused on the effects of signals on evaluative outcomes, while the processes through which signals are formed and transformed over time remain under-theorized. In particular, prior work has tended to treat signals as stable attributes, overlooking their temporal emergence and adaptation across shifting contexts. This study addresses this gap by reconceptualizing nonverbal signals, particularly vocal signals, as dynamic processes rather than static attributes. Building on signaling theory, the study investigates how such signals emerge, adapt, and evolve across time and context, thereby foregrounding the processual nature of signaling. To capture these dynamics, a longitudinal single-case research design is employed, analyzing keynote presentation audio data from Steve Jobs. Specifically, the analysis focuses on a series of keynote speeches delivered over a 28-year period, spanning from age 28 (1983) to age 56 (2011). This approach enables the examination of temporal variation and the identification of generative mechanisms underlying signal formation. Two exploratory quantitative analyses are conducted on acoustic features, including speech tempo, pauses, and pitch variation, allowing for a fine-grained assessment of within-individual changes over time. The findings reveal that while speech tempo remains relatively stable over time, pauses and pitch variation are systematically reorganized in response to shifts in role and organizational context. These results suggest that vocal signals are not fixed traits but evolve through continuous interaction with situational demands and accumulated career experiences. Furthermore, the accumulation of short-term adaptive adjustments appears to produce longer-term structural transformations in signaling patterns, indicating a recursive relationship between micro-level adaptation and macro-level change. By shifting the analytical focus from signal effects to signal formation, this study extends signaling theory into a temporally embedded framework that incorporates time, identity, and experience. The study contributes to the literature by providing empirical evidence for the dynamic nature of signaling and by proposing a conceptual foundation for understanding how strategic communication capabilities develop over the course of a professional career.
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Copyright (c) 2026 Satoshi Miyajima

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.