We are here at eTail Palm Springs and seeing and hearing the latest and greatest in e-commerce and retail. Question: Do you need to choose between AI and human recommendations as a customer? Why not have both? After all, don’t each have their strengths? AI in the retail experience is all the rage these days, but today I’m talking with someone from a brand that has been incorporating AI-personalized experiences and shopping combined with expert human recommendations for over 14 years, and continues to innovate today. Today we’re going to talk about how AI-based personalization plus human creativity and input makes an amazing customer experience at Stitch Fix. To help me discuss this topic, I’d like to welcome Noah Zamansky, Vice President of Product and Client Experience at Stitch Fix. About Noah Zamansky Noah Zamansky serves as the Vice President of Product and Client Experience at Stitch Fix, where he leads cross-functional teams spanning Product, Design, Engineering, Algorithms, and Platform Development. A seasoned leader, Noah has a proven track record of shaping product vision and strategy, designing exceptional user experiences, and spearheading the launch of new business ventures. Before joining Stitch Fix, Noah held the role of Senior Director of Product Management at eBay, overseeing Fashion and Vertical Experiences. Resources Stitch Fix: https://www.stitchfix.com eTail Palm Springs: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Listen to The Agile Brand without the ads. Learn more here: https://bit.ly/3ymf7hd Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company…
後悔に関する神経活動を調べた研究者にAyakaが会ったことをきっかけに、そもそも「後悔」ってどんな心の動きなのか、どんな実験タスクを組めば後悔を測ることができるのか、あるいは実感としてどういうときに後悔しやすいのか等について語りました。 後悔についてのネズミにおけるの研究 Behavioral and neurophysiological correlates of regret in rat decision-making on a neuroeconomic task | Nature Neuroscience Mice learn to avoid regret | PLOS Biology レストラン列課題:お腹がすいたネズミは4つの "レストラン "で異なる味のついた報酬の連続的オファーに遭遇する迷路で訓練された。ウェイトゾーンで待たなければならない遅延時間(1~30秒、ランダム)を表すトーン音が鳴って、カウントダウンに合わせて音程高が下がり、最後まで待てば報酬が得られる。ネズミがカウントダウンの間にレストランのウェイティングゾーンを出ると、その報酬は得られず、次のレストランで待つかどうかを選ぶ。 ヒトとマウス、ラットにおけるサンクコストの研究(ヒト版ビデオダウンロードタスクの説明もあり) Sensitivity to “sunk costs” in mice, rats, and humans | Science 後悔のタイプとうつ病などの関係に関する論文 後悔タイプI:高値のオファーをスキップした 後悔タイプII:低値のオファーを受け入れた Brain’s Sensitivity to Different Types of Regret May Impact Mood Disorders Like Depression, Mount Sinai Researchers Find 2004年のRedishによる依存症の数理モデルの論文 Addiction as a Computational Process Gone Awry | Science Ayakaらが取り組んだ、行動依存にも適用が可能な数理モデルの論文 Rigid reduced successor representation as a potential mechanism for addiction ↑上の2つのモデルの解説を含む、依存症の強化学習モデル日本語の解説論文 強化学習を用いた依存症の計算論的精神医学研究 行動依存に関する数理モデルのレビュー論文 Computational models of behavioral addictions: State of the art and future directions - ScienceDirect…