Artwork

Inhalt bereitgestellt von User Interviews. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von User Interviews oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Player FM - Podcast-App
Gehen Sie mit der App Player FM offline!

#173 - Prototyping AI in Live Research with Bold Insight & Panasonic Well

54:31
 
Teilen
 

Manage episode 505958458 series 2622024
Inhalt bereitgestellt von User Interviews. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von User Interviews oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Erin May sits down with Larry Becker and Gavin Lew of Bold Insight to explore how researchers can prototype AI experiences that don't exist yet. They're joined by Katie Johnson, Global Head of Research for Panasonic Well. All share their methods for testing everything from voice interfaces for blind users to family wellness bots using low fidelity simulation techniques.

⭐️ Larry, Katie, and Gavin are presenting their work at EPIC 2025 in Helsinki ⭐️

The conversation reveals how AI research requires new approaches beyond traditional usability testing. Katie explains her work simulating family interactions with AI assistants, where researchers act as human filters for LLM responses to study relationship building over time. The team demonstrates how even small changes in AI personality can be detected by users, highlighting the sensitivity of human-AI relationships.

Gavin emphasizes the critical importance of getting AI right from the first interaction, unlike traditional MVP approaches. When AI fails to understand or respond appropriately, users often abandon it permanently, making prototype research essential for building trust before launch. The discussion provides practical frameworks for researchers working with emerging AI technologies and the evolving methods needed to understand human-AI interactions.

Highlights

  • [06:25] Prototyping AI experiences mindset
  • [20:53] Human simulation in AI prototyping
  • [31:15] Human vs bot detection challenges
  • [38:52] Context interaction and trust framework
  • [49:33] Team collaboration in groundbreaking research
  • [51:27] Trust themes in AI development

Resources

  1. The State of User Research 2025
  2. AI For User Research 101 Course
  3. 20+ AI Tools for User Researchers
  continue reading

176 Episoden

Artwork
iconTeilen
 
Manage episode 505958458 series 2622024
Inhalt bereitgestellt von User Interviews. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von User Interviews oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Erin May sits down with Larry Becker and Gavin Lew of Bold Insight to explore how researchers can prototype AI experiences that don't exist yet. They're joined by Katie Johnson, Global Head of Research for Panasonic Well. All share their methods for testing everything from voice interfaces for blind users to family wellness bots using low fidelity simulation techniques.

⭐️ Larry, Katie, and Gavin are presenting their work at EPIC 2025 in Helsinki ⭐️

The conversation reveals how AI research requires new approaches beyond traditional usability testing. Katie explains her work simulating family interactions with AI assistants, where researchers act as human filters for LLM responses to study relationship building over time. The team demonstrates how even small changes in AI personality can be detected by users, highlighting the sensitivity of human-AI relationships.

Gavin emphasizes the critical importance of getting AI right from the first interaction, unlike traditional MVP approaches. When AI fails to understand or respond appropriately, users often abandon it permanently, making prototype research essential for building trust before launch. The discussion provides practical frameworks for researchers working with emerging AI technologies and the evolving methods needed to understand human-AI interactions.

Highlights

  • [06:25] Prototyping AI experiences mindset
  • [20:53] Human simulation in AI prototyping
  • [31:15] Human vs bot detection challenges
  • [38:52] Context interaction and trust framework
  • [49:33] Team collaboration in groundbreaking research
  • [51:27] Trust themes in AI development

Resources

  1. The State of User Research 2025
  2. AI For User Research 101 Course
  3. 20+ AI Tools for User Researchers
  continue reading

176 Episoden

Alle episoder

×
 
Loading …

Willkommen auf Player FM!

Player FM scannt gerade das Web nach Podcasts mit hoher Qualität, die du genießen kannst. Es ist die beste Podcast-App und funktioniert auf Android, iPhone und im Web. Melde dich an, um Abos geräteübergreifend zu synchronisieren.

 

Kurzanleitung

Hören Sie sich diese Show an, während Sie die Gegend erkunden
Abspielen