Episodes

  • Behavior Change Score with Roos van Duijnhoven

    Behavior Change Score with Roos van Duijnhoven
    Dec 11 2024

    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-Lewis


    TIMESTAMPS

    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

    --

    Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

    The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    32 mins
  • Behavior Change Algorithms with Susan Murphy

    Behavior Change Algorithms with Susan Murphy
    Dec 5 2024

    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 Website

    • TIMESTAMPS

      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

      --

      Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

      The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    1 hr and 6 mins
  • Chatbots, Synthetic Users and AI for User Research with Hassan Aleem

    Chatbots, Synthetic Users and AI for User Research with Hassan Aleem
    Nov 20 2024

    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 Thoughts

    LINKS:

    • ⁠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 hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠⁠⁠

    The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    41 mins
  • Personalized AI with Amy Bucher

    Personalized AI with Amy Bucher
    Nov 13 2024
    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 WebsiteLinkedIn Profile Further 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 EngagementMoral Agents for Sustainable TransitionsPersonalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral DesignThe Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 ApproachDigital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” DataFeasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote MammogramsPrecision Nudging and Health InterventionsReinforcement Learning in Behavior Change TIMESTAMPS: 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 -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    57 mins
  • Misinformation Machines with Gordon Pennycook – Part 2

    Misinformation Machines with Gordon Pennycook – Part 2
    Nov 6 2024
    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 Profile⁠⁠Twitter⁠⁠Personal Website⁠⁠Cornell University Faculty Page⁠ Further Reading on Misinformation: Debunkbot - The AI That Reduces Belief in Conspiracy TheoriesInterventions Toolbox - Strategies to Combat Misinformation TIMESTAMPS: 01:27 Intro and Early Voting06:45 Welcome back, Gordon!07:52 Strategies to Combat Misinformation11:10 Nudges and Behavioral Interventions14:21 Comparing Intervention Strategies19:08 Psychological Inoculation and Prebunking32:21 Echo Chambers and Online Misinformation34:13 Individual vs. Policy Interventions36:21 If You Owned a Social Media Company37:49 Algorithm Changes and Platform Quality38:42 Community Notes and Fact-Checking39:30 Reddit’s Moderation System42:07 Generative AI and Fact-Checking43:16 AI Debunking Conspiracy Theories45:26 Effectiveness of AI in Changing Beliefs51:32 Potential Misuse of AI55:13 Final Thoughts and Reflections -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    1 hr and 3 mins
  • Misinformation Machines with Gordon Pennycook – Part 1

    Misinformation Machines with Gordon Pennycook – Part 1
    Nov 4 2024

    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 Page

    Further Reading on Misinformation:

    • Brandolini’s Law and the Spread of Falsehoods
    • Role of AI in Misinformation
    • The Psychology of Conspiracy Theories


    TIMESTAMPS:

    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

    --

    Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠

    The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    53 mins
  • The Dark Side of AI – Halloween Special

    The Dark Side of AI – Halloween Special
    Oct 30 2024

    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

    --

    Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠

    The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    1 hr
  • Recommender Systems with Carey Morewedge

    Recommender Systems with Carey Morewedge
    Oct 23 2024
    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! -- LINKS: Carey Morewedge: Google Scholar Profile Carey Morewedge - LinkedIn Boston University Faculty Page Personal Website Understanding AI Recommender Systems: How Netflix’s Recommendation System WorksImplicit 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 -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    59 mins