Postdoctoral Researcher | Organizational Communication Analyst

Behavioral researcher specializing in human-technology interaction and organizational communication. With eight years of research experience, I investigate how people collaborate with emerging technologies and each other to accomplish creative work. My expertise in qualitative methods spans in-depth interviews, ethnographic observation, and focus groups, allowing me to uncover rich insights about human behavior and technology adoption.

Currently leading research on human-AI interaction at Good Systems, where I conduct studies to improve AI system design and collaboration. My research has been published in top-tier journals including Communication Monographs and Management Communication Quarterly, bridging theoretical frameworks with practical applications.

I'm passionate about translating complex research findings into actionable insights that drive both scholarly understanding and real-world impact. Whether working with academic colleagues or industry partners, I focus on making research accessible and meaningful through compelling narratives and clear recommendations.

As an active musician and composer, I bring firsthand experience to my research on creative work and technology. My interdisciplinary background enables me to connect cultural insights with technological innovation.

Research interests: Human-AI interaction, creative collaboration, organizational technology adoption, qualitative research methods

Email: jaredtjensen@utexas.edu

Linkedin: linkedin.com/in/jaredtjensen

Research Directions

Technology and Music

My research examines how musicians navigate technological change and creative collaboration in their work. Through extensive fieldwork, including interviews with musicians and AI music tool developers in Paris, I've investigated how both traditional gear and emerging technologies shape creative processes.

Key findings reveal how musicians strategically use technology to establish creative direction and group dynamics, while also reflecting broader professional values like authenticity and innovation. Recent work with AI music developers extends this research to examine how emerging technologies are reshaping musical creativity, offering insights for both scholarly understanding and technology development.

This research bridges academic theory and industry practice, contributing to our understanding of creative collaboration while providing practical insights for music technology development. Currently developing publications and new research directions in this area.

Automation in Healthcare: Examining the Future of Work

As a lead researcher in the NSF, NIH, and BlueCrossBlueShield-funded APRON Lab since 2018, I have investigated how automation technologies are transforming healthcare work and communication. Our research examines critical challenges in technology adoption, from work-life boundaries to team dynamics in increasingly automated environments.

Recent studies explored how healthcare professionals navigate digital disconnection (Jensen et al., 2022), manage team communication dynamics (Jensen et al., 2024), and maintain scientific integrity while adopting new technologies (Call et al., 2024). This work has established frameworks for understanding how communication shapes the integration of automation and AI in healthcare settings, contributing to both scholarly discourse and practical implementation strategies.

Published work appears in leading journals such as Communication Monographs, Big Data & Society, and Management Communication Quarterly. Additional studies are forthcoming.

Publications

Jensen, J. T., Call, S. L., & Barbour, J. B. (2024). Hostile knowledge performances. Communication Monographs. https://doi.org/10.1080/03637751.2024.2314045 [Peer reviewed]

Call, S. L., Jensen, J. T., & Barbour, J. B. (2024). Quantifying the self with others. Big Data & Society. 11(2). https://doi.org/10.1177/20539517241247831

Barbour, J. B., Jensen, J. T., & Call, S. R. (2024). Organizational communication design. In V. Miller & M. S. Poole (Eds.), The Handbook of Organizational Communication Theory and Research. DeGruyter. [Invited]

Majdik, Z.P., Graham, S.S., Shiva Edward, J., Rodriguez, S.N., Karnes, M.S., Jensen, J.T., Barbour, J.B., Rousseau, J.F. (2024) Sample size considerations for fine-tuning Large Language Models for Named Entity Recognition Tasks: A methodological study. JMIR AI. http://dx.doi.org/10.2196/52095 [Peer reviewed]

Barbour, J.B., Jensen, J.T., Call, S.R., Sharma, N. (2023). Substance, discourse and practice: a review of communication research on automation. Annals of the International Communication Association. https://doi.org/10.1080/23808985.2023.2183232 [Peer reviewed]

Jensen, J. T., Rolison, S. L., & Barbour, J. B. (2022). Temporal dominance: Controlling activity cycles when time is scarce, sudden, and squeezed. Management Communication Quarterly. 36(1), 30-61. https://doi.org/10.1177/08933189211023471 [Peer reviewed]

Graham, S. S., Karnes, M. S., Jensen, J. T., Sharma, N., Barbour, J. B., Majdik, Z. P., & Rousseau, J. F. (2022). Evidence for stratified conflicts of interest policies in research contexts: A methodological review. BMJ Open, 12(9), e063501. [Peer reviewed]

Barbour, J. B., Rolison, S. L., & Jensen, J. T. (2020). Professions, professionals, and professional work: Navigating the politics of expert and expertise difference. In M. L. Doerfel & J. L. Gibbs (Eds.), Organizing inclusion: Moving diversity from demographics to communication processes. New York: Routledge. https://doi.org/10.4324/9780429450495-10 [Invited]