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EP128: Understanding Behavior Through Physiology: Dr. Benno Torgler's Approach
Manage episode 435314881 series 3326183
Inhoud geleverd door Professor Christine J Ko, MD, Professor Christine J Ko, and MD. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Professor Christine J Ko, MD, Professor Christine J Ko, and MD of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
In this episode of SEE HEAR FEEL, host Christine welcomes Dr. Benno Torgler, a Professor of Economics at Queensland University of Technology. They discuss Dr. Torgler's fascinating journey from mechanical engineering to economics and his significant research on heart rate variability (HRV). The conversation delves deep into the integration of physiological measurements with psychological and emotional activities, providing insights on how HRV can be used to understand human behavior and stress. Dr. Torgler also shares personal anecdotes and offers practical advice for using wearable technology to monitor HRV.
00:00 Introduction to Dr. Benno Torgler
01:09 A Personal Journey: From Engineering to Economics
03:54 Understanding Heart Rate Variability
08:21 Applications and Implications of Heart Rate Variability
12:01 Final Thoughts and Reflections
Dr. Benno Torgler, PhD is a Professor of Economics in the School of Economics and Finance as well as Director of the Australian Research Council Training Centre for Behavioural Insights for Technology Adoption (BITA) in the Queensland University of Technology in Queensland, Australia. He is a social scientist that studies human decision making and human nature via integrating economics, social and evolutionary psychology, sociology, and biology. He has co-written an article titled, “Positive affect and heart rate variability: a dynamic analysis” which looks at physiologic measurements (for example, heart rate variability) and self-reported measures to better understand human behavior and interactions. His research is helpful in understanding how to collect such physiologic data like heart rate variability as well as how to model and interpret it.
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