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HFES AI research project

Our study, conducted at the 2024 HFES Health Care Symposium, explores the potential role of artificial intelligence (AI) in Human Factors Engineering (HFE) activities. During this conference-wide research project, attendees contributed their perspectives on current practices and potential future applications, and voiced opinions on the risk and benefits associated with employing AI throughout the medical device product development lifecycle.

Curious to learn how your colleagues are using AI throughout the medical device process?

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We empower healthcare innovation

We primarily work in healthcare, where we have experience across hundreds of products, in diverse environments. We specialize in connected drug delivery & injection devices, SaMD, digital health, surgical tools, diagnostics, and robotics research. We help you to identify and address issues and opportunities for improvement before seeking validation, ultimately leading to successful
submissions.

Missed our AI webinar?

If you missed our December 2023 webinar, watch it now for a high-level overview of the whitepaper’s topics, questions, and findings. In this 30-minute presentation, Lindsey DeWitt Prat, PhD, brings clarity (and data) to the conversation, sharing findings directly from the global UX research community.

We wrote the book

Our practice has been focused on the symbiotic relationship between UX & AI for years. Our founding partners published one of the first books on the topic in 2020. This publication is based on early work explorations of AI technology across consumer electronics and healthcare.

Why AI needs UX

In the book, Gavin and Bob dive into what drives the usage and success of AI-enabled products. They argue it largely depends on a great user experience; context, interaction, and trust are the prerequisites for AI adoption. They detail how barriers to user trust can be overcome and how acceptance and conversion can follow. The book addresses areas including:

  • Assessing GenAI capabilities for data management systems
  • Understanding potential AI-human connectivity
  • Measuring tools for trust & safety with AI technology
  • Enabling dialogue around AI tools that don’t yet exist

Related content

Read our latest news & insights

Case studies

Case studies

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Explore opportunities to improve in-product support features
Explore opportunities to improve in-product support features

A global technology company wanted to collect feedback on potential in-product support features, scenarios, and concepts.

Explore the integration of AI and human interaction across a full product lifecycle
Explore the integration of AI and human interaction across a full product lifecycle

A global technology company wanted to drive buy-in for a new service that challenged existing assumptions.

Understand users’ expectations for balancing information access and privacy when using AI-enabled tools
Understand users’ expectations for balancing information access and privacy when using AI-enabled tools

A global technology company sought to understand user privacy and safety thresholds in a global qualitative & quantitative research study.

Explore collaborative intelligent technology
Explore collaborative intelligent technology

A global technology company sought to investigate ways to collaborate with intelligent technology to create customized and impactful outcomes for their users.

Iterate simulation testing of an AI-enabled EMR
Iterate simulation testing of an AI-enabled EMR

A Fortune 50 healthcare organization was developing an AI-enabled electronic medical record designed to improve providers’ situational awareness, communication, collaboration, and response.

Conduct global, large-scale mixed methods research with conversational & generative AI
Conduct global, large-scale mixed methods research with conversational & generative AI

A global technology company sought to understand how best to apply AI offerings across a suite of products.

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