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Behavior Change Score with Roos van Duijnhoven
In this special episode of the Behavioral Design Podcast, host Samuel continues the mini-series featuring expert practitioners from the Nuance Behavior team. This week’s guest is Roos van Duijnhoven, a behavioral scientist with a deep passion for designing human-centered digital solutions that drive meaningful behavior change.
Samuel and Roos explore a wide range of topics, including the Behavior Change Score Framework, strategies for improving onboarding and retention in digital health products, and the importance of focusing on real-world behavior (‘big E’ engagement) versus in-app behavior (‘little e’ engagement). They also dive into insights from Nuance Behavior’s ‘Behavior Change Score Report,’ which evaluates fitness apps and provides actionable lessons for designing more effective digital interventions.
This episode offers a treasure trove of insights for anyone interested in applying behavioral science to digital product design and health interventions!
LINKS:
Roos's LinkedIn The Behavior Change Score Report Nuance Behavior Website Engagement with Heather Cole-LewisTIMESTAMPS
00:36 Meet Roos van Duijnhoven
01:06 Recap of Susan Murhpy episode
07:31 Insights from the Behavior Change Score Report
20:14 Big E vs. Little e Engagement: Real-World vs. In-App Behavior
26:31 Controversial Opinions: Electric Bicycles
29:32 Conclusion and Farewell
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Real-Time Behavior Change Algorithms with Susan Murphy
In this thought-provoking episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the cutting edge of AI in behavioral science with Professor Susan Murphy, a world-renowned expert in statistics and behavioral research.
The conversation dives into Susan's groundbreaking work on micro-randomized trials and just-in-time adaptive interventions (JITAI) to create personalized, real-time behavior change algorithms. Together, they explore the role of reinforcement learning in adapting interventions over time, tackling ethical challenges, and sustaining user engagement in a rapidly evolving world.
This episode also includes a fun "To AI or Not to AI" quickfire round and Susan’s reflections on the "frontier" nature of behavioral science today, making this a must-listen for anyone passionate about technology, psychology, and innovation.
LINKS:
Susan Murphy's Faculty Page Learn more about JITAI Heart Steps Study Nuance Behavior WebsiteTIMESTAMPS
01:00 – AI Voice Assistants in Everyday Life
07:22 – Introduction to Susan Murphy
08:06 – Micro-Randomized Trials Explained
11:08 – Just-in-Time Adaptive Interventions (JITAI)
27:19 – Reinforcement Learning and Behavioral Science
35:15 – Adaptive Algorithms for Personalized Support
40:30 – Micro-Randomization and Personalized Interventions
45:19 – Maintaining Engagement in Digital Interventions
49:51 – The Frontier Nature of Behavioral Science
51:39 – Quickfire Round: To AI or Not to AI
57:13 – Ethical Considerations in AI and Behavioral Science
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Saknas det avsnitt?
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AI Chatbots and Synthetic Users with Hassan Aleem
In this special episode of the Behavioral Design Podcast, host Samuel kicks off a new mini-series featuring expert practitioners from the Nuance Behavior team.
This week’s guest is Hassan Aleem, a respected behavioral practitioner with a Ph.D. in neuroscience and extensive experience in industries like fintech, health wearables, and public health.
Together, Samuel and Hassan explore the fascinating intersection of AI and behavioral science. They discuss AI’s impact on user research, the opportunities and challenges of AI-powered chatbots, the role of synthetic users in behavioral research, and the potential of AI to streamline literature reviews.
The conversation culminates in a thought-provoking discussion: can AI truly understand and design for beauty?
This episode is packed with insights on how AI can enhance behavioral science practice while emphasizing the irreplaceable value of human expertise.
TIMESTAMPS
00:00 Introduction to the Behavioral Design Podcast
02:00 Meet Hassan Aleem: Neuroscientist and Behavioral Practitioner
02:37 Exploring AI in Behavioral Science
03:42 The Role of AI in User Research
10:21 Chatbots and Behavioral Design
18:50 AI in Literature Reviews and Research
34:59 Can AI Understand Beauty?
40:48 Conclusion and Final ThoughtsLINKS:
Hassan's LinkedIn Nuance Behavior Website--
Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Using AI to Change Human Behavior
In this episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer explore the fascinating intersection of AI and behavioral science with Amy Bucher, Chief Behavior Officer at Lirio.
Together, they dive into the challenges and opportunities of integrating AI with behavioral science for health interventions, focusing on the critical need to design AI tools with human behavior in mind.
Key topics include the role of reinforcement learning and precision nudging in behavior change, the importance of grounded behavioral insights to cut through AI hype, and Amy’s experiences with personalized health interventions.
Amy also sheds light on the effectiveness of digital tools in behavior change and shares her vision for the future of AI in behavioral health.
Tune in for an insightful discussion on how behavioral science can shape the next generation of AI-driven health interventions!
LINKS:
Amy Bucher
Lirio Website LinkedIn ProfileFurther Reading on AI and Behavioral Science:
How Machine Learning and Artificial Intelligence are Used in Digital Behavior Change Interventions: A Scoping Review The Power of Large Behavior Models in Healthcare Consumer Engagement Moral Agents for Sustainable Transitions Personalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral Design The Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 Approach Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms Precision Nudging and Health Interventions Reinforcement Learning in Behavior ChangeTIMESTAMPS:
00:30 Behavioral Science and AI: A Crucial Intersection
07:44 Introducing Amy Bucher
10:43 Scoping Review on AI in Behavior Change
16:05 Challenges and Misconceptions in AI
22:07 Reinforcement Learning and AI Agents
28:40 Designing Interventions with AI and Behavioral Science
31:32 Operationalizing Behavior Change Techniques
35:25 Challenges in Measuring Engagement
42:43 The Role of Behavioral Science in AI
46:53 Quickfire Round: To AI or Not to AI
49:25 Controversial Opinions on AI
53:52 Closing Thoughts and Acknowledgements
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Debunkbot and Other Tools Against Misinformation
In this follow-up episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer welcome back Gordon Pennycook, psychology professor at Cornell University, to continue their deep dive into the battle against misinformation.
Building on their previous conversation around misinformation’s impact on democratic participation and the role of AI in spreading and combating falsehoods, this episode focuses on actionable strategies and interventions to combat misinformation effectively.
Gordon discusses evidence-based approaches, including nudges, accuracy prompts, and psychological inoculation (or prebunking) techniques, that empower individuals to better evaluate the information they encounter.
The conversation highlights recent advancements in using AI to debunk conspiracy theories and examines how AI-generated evidence can influence belief systems. They also tackle the role of social media platforms in moderating content, the ethical balance between free speech and misinformation, and practical steps that can make platforms safer without stifling expression.
This episode provides valuable insights for anyone interested in understanding how to counter misinformation through behavioral science and AI.
LINKS:
Gordon Pennycook:
Google Scholar Profile Twitter Personal Website Cornell University Faculty PageFurther Reading on Misinformation:
Debunkbot - The AI That Reduces Belief in Conspiracy Theories Interventions Toolbox - Strategies to Combat MisinformationTIMESTAMPS:
01:27 Intro and Early Voting
06:45 Welcome back, Gordon!
07:52 Strategies to Combat Misinformation
11:10 Nudges and Behavioral Interventions
14:21 Comparing Intervention Strategies
19:08 Psychological Inoculation and Prebunking
32:21 Echo Chambers and Online Misinformation
34:13 Individual vs. Policy Interventions
36:21 If You Owned a Social Media Company
37:49 Algorithm Changes and Platform Quality
38:42 Community Notes and Fact-Checking
39:30 Reddit’s Moderation System
42:07 Generative AI and Fact-Checking
43:16 AI Debunking Conspiracy Theories
45:26 Effectiveness of AI in Changing Beliefs
51:32 Potential Misuse of AI
55:13 Final Thoughts and Reflections--
Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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The Role of Misinformation and AI in the US Election with Gordon Pennycook
In this episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the complex world of misinformation in the context of the U.S. elections with special guest Gordon Pennycook, a psychology professor at Cornell University.
The episode covers the effects of misinformation on democratic participation, and how behavioral science sheds light on reasoning errors that drive belief in falsehoods. Gordon shares insights from his groundbreaking research on misinformation, exploring how falsehoods gain traction and the role AI can play in both spreading and mitigating misinformation.
The conversation also tackles the evolution of misinformation, including the impact of social media and disinformation campaigns that blur the line between truth and fiction.
Tune in to hear why certain falsehoods spread faster than truths, the psychological appeal of conspiracy theories, and how humor can amplify the reach of misinformation in surprising ways.
LINKS:
Gordon Pennycook:
Google Scholar Profile Twitter Personal Website Cornell University Faculty PageFurther Reading on Misinformation:
Brandolini’s Law and the Spread of Falsehoods Role of AI in Misinformation The Psychology of Conspiracy TheoriesTIMESTAMPS:
00:00 Introduction
03:14 Behavioral Science and Misinformation
05:28 Introducing Gordon Pennycook
10:02 The Evolution of Misinformation
12:46 AI’s Role in Misinformation
14:51 Impact of Misinformation on Elections
21:43 COVID-19 and Vaccine Misinformation
26:32 Technological Advancements in Misinformation
33:50 Conspiracy Theories
35:39 Misinformation and Social Media
42:35 The Role of Humor in Misinformation
48:08 Quickfire Round: To AI or Not to AI
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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In this spine-chilling Halloween special of the Behavioral Design Podcast, co-hosts Aline Holzwarth and Samuel Salzer take listeners on a journey into the eerie intersection of AI and behavioral science. They explore the potential ethical and social consequences of AI, from our urge to anthropomorphize machines to the creeping influence of human biases in AI engineering.
The episode kicks off with the hosts sharing their favorite Halloween costumes and family traditions before delving into the broader theme of Frankenstein as an apt metaphor for AI. They discuss the human inclination to attribute human qualities to non-human entities and the ethical implications of creating machines that mirror humanity. The conversation deepens with reflections on biases in AI development, risks of ‘playing God,’ and the tension between technological progress and human oversight.
In a thrilling twist, the hosts read a co-authored sci-fi story written with ChatGPT, illustrating the potential dark consequences of unchecked AI advancement. The episode wraps up with Halloween-themed wishes, encouraging listeners to ponder the boundaries between human and machine as they celebrate the holiday.
Timestamps:
03:38 – Frankenstein: Revisiting the original story
09:09 – Frankenstein’s Modern AI Metaphor: Parallels to today’s technology
18:06 – Reflections on AI and Anthropomorphism: The urge to humanize machines
36:31 – Exploring Human Biases in AI Development: How biases shape AI
42:06 – Trust in AI: Human vs. algorithmic decision-making
46:45 – The Personalization of AI Systems: Pros and cons of tailored experiences
49:10 – The Ethics of Playing God with AI: Examining the risks
55:56 – Concluding Thoughts and Halloween Wishes: Reflecting on AI’s duality
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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In this episode of the Behavioral Design Podcast, we delve into the world of AI recommender systems with special guest Carey Morewedge, a leading expert in behavioral science and AI.
The discussion covers the fundamental mechanics behind AI recommendation systems, including content-based filtering, collaborative filtering, and hybrid models. Carey explains how platforms like Netflix, Twitter, and TikTok use implicit data to make predictions about user preferences, and how these systems often prioritize short-term engagement over long-term satisfaction.
The episode also touches on ethical concerns, such as the gap between revealed and normative preferences, and the risks of relying too much on algorithms without considering the full context of human behavior.
Join co-hosts Aline Holzwarth and Samuel Salzer as they together with Carey explore the delicate balance between human preferences and algorithmic influence. This episode is a must-listen for anyone interested in understanding the complexities of AI-driven recommendations!
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LINKS:
Carey Morewedge:
Google Scholar Profile Carey Morewedge - LinkedIn Boston University Faculty Page Personal WebsiteUnderstanding AI Recommender Systems:
How Netflix’s Recommendation System Works Implicit Feedback for Recommender Systems (Research Paper) Why People Don’t Trust Algorithms (Harvard Business Review) Nuance Behavior Website--
TIMESTAMPS:
00:00 The 'Do But Not Recommend' Game
07:53 The Complexity of Recommender Systems
08:58 Types of Recommender Systems
12:08 Introducing Carey Morewedge
14:13 Understanding Decision Making in AI
17:00 Challenges in AI Recommendations
32:13 Long-Term Impact on User Behavior
33:00 Understanding User Preferences
35:03 Challenges with A/B Testing
40:06 Algorithm Aversion
46:51 Quickfire Round: To AI or Not to AI
52:55 The Future of AI and Human Relationships
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Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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In the latest episode of the Behavioral Design Podcast, we are excited to launch Season 4 with an in-depth exploration of how behavioral science and AI converge, setting the stage for an engaging and thought-provoking season.
This episode tackles big questions around AI’s growing influence, offering insights into both its promise and its challenges, especially as they relate to human behavior and decision-making.
Join co-hosts Aline Holzwarth and Samuel Salzer as they introduce key themes for the season, including the profound implications of AI on behavioral science and society at large. The episode opens with breaking news from the AI world, such as the significance of neural networks, which serve as the foundation of modern AI systems. The hosts explain how neural networks work and contrast them with the extraordinary complexity of the human brain.
The episode covers essential concepts for behavioral scientists, including large language models (LLMs), the backbone of generative AI, as well as prompt engineering and AI agents. These tools are transforming fields from healthcare to customer service, and the hosts break down their real-world applications, highlighting how they are used to enhance decision-making, automate workflows, and drive personalized interventions.
Samuel and Aline debunk several common myths about AI, such as whether generative AI truly enhances creativity or if more complex models are always better. They also explore algorithmic bias versus human bias, discussing how AI can both amplify and address societal inequities depending on how it is designed and implemented.
In “To AI or Not to AI”, this season’s quickfire round, the hosts weigh in on whether they’d trust AI for tasks like driving their kids to daycare or offering relationship advice, sparking a thought-provoking discussion on AI’s role in everyday life.
This episode is a must-listen for anyone curious about the evolving relationship between behavioral science and AI, offering both high-level insights and detailed explorations of the real-world implications of these technologies.
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TIMESTAMPS:
00:00 Introduction to the Behavioral Design Podcast02:36 Breaking News04:30 Understanding Neural Networks09:38 The Beauty and Complexity of the Human Brain17:37 Season Preview21:53 Meet Your Hosts29:00 Nuanced Behavior30:43 AI 101 for Behavioral Scientists44:14 Debunking AI Myths01:02:15 To AI or Not to AI: Quickfire Round01:14:45 Final Thoughts
LINKS:
Geoffrey Hinton’s Talk on AI and John Hopfield’s Contributions to Neural Networks Sherry Turkle’s Memoir “The Empathy Diaries” Marvin Minsky and the Concept of the Brain as a Machine Cassie Kozyrkov’s Blog on Machine Learning Sendhil Mullainathan’s Paper on Algorithmic Fairness Generative AI enhances individual creativity but reduces the collective diversity of novel content Superintelligence: Paths, Dangers, Strategies Biased Algorithms Are Easier to Fix Than Biased People Nuance Behavior Website--
Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: nuancebehavior.com.
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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We've reached the end of Season 3! 🎉
In this finale, we give you the inside scoop on topics behavioral design from 2023. From our favorite resources to AI to films, we explore all things behavioral design, so you too are in the inside scoop! All resources are linked below. Enjoy!
From the bottom of our hearts, thank you for supporting us throughout the year! We appreciate you! 🙏 🙌
Gratitude:
A systematic review of the strength of evidence for the most commonly recommended happiness strategies in mainstream media | Nature Human Behaviour (Dunigan Folk & Elizabeth Dunn) No Sweat book - Michelle Segar Preregistering, transparency, and large samples boost psychology studies’ replication rate to nearly 90% | Science High replicability of newly discovered social-behavioural findings is achievable | Nature Human BehaviourFavorite Resources:
BehaviorBytes Women in Behavioral Science and the Women in Behavioral Science LinkedIn group – Darcie Piechowski Lesson on Fraud and Whistleblowing – Zoe Ziani Choice Overload: It’s not about the number – Hassan & Roos 7 Routes to Applied Behavioural Science Experimentation and Observation – Affective + OECD Mapping Behavioural Journeys – Common Thread A Manifesto for Applying Behavioral Science – The Behavioural Insights Team Behavioral Science as a Specialization – Connor Joyce The Science of Context – Jared PetersonTop 10 films:
Fallen leaves Close Passages Luxembourg, Luxembourg Past Lives Beau Is Afraid One Fine Morning Barbie Oppenheimer Infinity Pool--
Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Welcome to the latest Product Deep Dive! 💊
In this bonus series of the Behavioral Design Podcast, we take a closer look at the seemingly simple, yet tremendously important, pill bottle.
Previous guest, Aarthi Rao, took her stab at designing the best pill bottle, so we decided to deep dive into all things behavioral design in the pill bottle world, ourselves! Easy, attractive, social, personalized...tune in to learn more, this one was a lot of fun!
Thank you to all of our listeners for supporting our podcast. Tune in next week for our Season 3 finale!
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--Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Aarthi Rao leads behavioral insights at Cityblock Health, as their Vice President of Behavioral Insights and Strategic Engagement Innovation. Aarthi also founded the Design and Innovation Lab at CVS Health.
Aarthi has successfully merged human-centered practices, such as design thinking, with behavioral science at Cityblock. She is a strong advocate for merging qualitative and quantitative methods to better design patient experiences. Today we spoke to Aarthi about how to reach hard-to-reach communities, designing the perfect pill bottle that fits into a patient’s healthcare ecosystem, and so much more. Enjoy!
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Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Steph Habif is known for a range of health behavior research and strategy, and for leading behavioral science at Tandem Diabetes. Today we chat with Steph about what she’s doing at Tandem to design for diabetic patients, working at the intersection of behavioral science and human-computer interaction. We also went over what Steph called behavioral science's branding problem.
Do you know someone who would enjoy Behavioral Design? Please tell them about us! Thanks for listening!
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Support the podcast by joining Habit Weekly Pro 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.
Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.
Get in touch via [email protected]
The song used is Murgatroyd by David Pizarro
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Welcome to the latest Product Deep Dive! 🗓️In this bonus series of the Behavioral Design Podcast, we take a closer look at the all-so-famous, yet simple, calendar. Previous guests, Laurie Santos, Linda Babcock & Ashley Whillans all spoke to us about time, so we decided it was "time" (get it) to discuss it in more detail!Tune in to learn more about our love/hate relationship with the calendar, the pros and cons between more or less calendar, and so much more! Who knew calendars were so much fun?--Support the podcast by joining Habit Weekly Pro 🚀The song used is Murgatroyd by David Pizarro. Get in touch via [email protected]
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In this episode, we speak with Linda Babcock, Professor of Economics and former dean at Carnegie Mellon University (CMU). She’s also the founder and faculty director of the Program for Research and Outreach on Gender Equity in Society (PROGRESS), also at CMU.
Linda has a new book, The No Club: Putting a Stop to Women's Dead-End Work. During our conversation, we speak with Linda about why and what leads women to take on more "non-promotable tasks", how the work environment influences this and why the expectation is there in the first place. Happy listening!
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Support the podcast by joining Habit Weekly Pro 🚀
The song used is Murgatroyd by David Pizarro.
Get in touch via [email protected]
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In this episode, we speak with Mitesh Patel, a leading expert on the use of nudges, gamification, and wearables to improve health. Mitesh founded and led the Penn Medicine Nudge Unit and is currently the Chief Clinical Transformation Officer at Ascension.
During our converstation, Mitesh discusses examples of behavioral design in the wild and how they can be used to encourage people to engage in healthy behaviors. Together we explore the topic of gamification and its potential use in encouraging exercise and discuss the application of behavioral science in healthcare. The episode includes a product deep dive into gyms and how they can be optimized using behavioral design principles. We hope you enjoy this episode!
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Support the podcast by joining Habit Weekly Pro 🚀
The song used is Murgatroyd by David Pizarro.
Get in touch via [email protected]
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Welcome to the latest Product Deep Dive! 🚗
In this fun bonus series of the Behavioral Design Podcast, we take a closer look at products discussed in past episodes of the show. In this episode, we are discussing the product "Autonomous Vehicles", following up on our conversation with Nick Chater from last week.
Tune in to learn more about how we would re-design Autonomous Vehicles, our own behavioral considerations, and what we can learn from this as behavioral designers. Happy listening!
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PS. The If books could kill podcast episode on nudging can be found here.
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We'd love to hear your thoughts on this topic and ideas for future episodes! Get in touch via [email protected]
Support the podcast by joining Habit Weekly Pro 🚀
The song used is Murgatroyd by David Pizarro.
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In this episode, we're thrilled to host Nick Chater, an esteemed Professor of Behavioural Science at Warwick Business School. Nick is a leading figure in his field, focusing his research on the cognitive and social foundations of rationality. He is the co-founder and Director of the research consultancy Decision Technology Ltd, and has written engaging books like "The Language Game: How Improvisation Created Language and Changed the World" and "The Mind is Flat: The Remarkable Shallowness of the Improvising Brain".
Join us as we delve into a captivating conversation with Nick on the application of behavioral science to public policy. We discuss the fascinating interplay between various branches of behavioral science and their implications in real-world policy decisions, bridging the gap between theory and practice. For our product deep-dive, we navigate the intriguing world of autonomous vehicles, examining their design and impact through the lens of behavioral science. In addition, we explore Nick's provocative paper co-authored with George Loewenstein on I frames vs. S frames.
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The song used is Murgatroyd by David Pizarro.
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In this episode we are delighted to welcome Paul Bloom, a distinguished developmental psychologist and Professor of Psychology at the University of Toronto. Paul has authored seven books, including Aginst Empathy and his most recent, Psych: The Story of the Human Mind. He is one of the leading thinkers in psychology and has dedicated his career to exploring how people, both children and adults, make sense of the world through language, morality, pleasure, pain, and religion.
Join us as we engage in a thought-provoking conversation with Paul about the different subfields of psychology and what they can bring to the real world, from neuroscience to developmental psychology, cognitive, social, and clinical. This discussion evolves into a stimulating debate on the extent to which academia can truly contribute to industry.
For our product deep-dive, we challenge Paul to consider how concepts and methods from behavioral science could be used to improve the Bible, and delve into his perspective on the age-old question of nature versus nurture in shaping our lives. This episode should be a fascinating listen for anyone interested in the human mind, behavioral science, and the intersection between academia and industry.
Relevant links
Paul's website Buy Psych: The Story of the Human Mind Check out Paul's podcast series Psych, hosted with our friend Dave Pizarro exploring concepts from his bookSupport the podcast by joining Habit Weekly Pro 🚀
The song used is Murgatroyd by David Pizarro.
Get in touch via [email protected]
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Welcome to the latest Product Deep Dive! 🎤
In this fun bonus series of the Behavioral Design Podcast, we take a closer look at products discussed in past episodes of the show. In this episode, we are discussing the product "Conferences", following up on our conversation with Dave Pizarro from last week.
Tune in to learn more about how we would re-design conferences, what they have in common with weddings, and what we can learn from this as behavioral designers. Happy listening!
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We'd love to hear your thoughts on this topic and ideas for future episodes! Get in touch via [email protected]
Support the podcast by joining Habit Weekly Pro 🚀
The song used is Murgatroyd by David Pizarro.
- Visa fler
