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HCI + Healthcare

Applying Human-Computer Interaction (HCI) methods to the healthcare field contributes to the design, usability, accessibility and effectiveness of a variety of medical technologies to better serve people. 

 

Many today are familiar with wearable health devices, such as smartwatches and fitness trackers, that gather real-time data in order to provide health monitoring for patients. There are many other opportunities to explore within HCI + healthcare, such as: developing human-centered software and hardware; utilizing sensors for activity recognition and measurement; designing information displays for wearables, apps, and screens; and using applied machine learning algorithms to analyze patterns. Everyday applications continue with opportunities in physical therapy, mental health, workout tracking, and even the potential to improve access to medical resources around the world. 
 

It is important to note that human-centered design in healthcare settings and systems must also address patient safety and ethics considerations, including data privacy, consent, and the potential for bias in AI-driven systems. Ensuring the future of healthcare tech is ethically designed is key to protecting patients and maintaining trust.  

 

Students who want to learn more about this HCI research area might be interested in the following courses:  

 

  • side by side images of a person holding gauze on their forehead and an interface with both question answering and proactive interventions

    PrISM: Procedural Interaction from Sensing Module

    PROJECT

    There are numerous complex tasks in everyday life, from cooking to medical self-care, that involve a series of atomic steps. Properly executing these step...

  • New work by researchers at CMU and the Indian Institute of Technology (IIT) Gandhinagar shows that adding an inexpensive thermal camera to wearable devices could substantially improve how accurately they estimate calories burned.

    Thermal Camera Senses Breathing To Improve Exercise Calorie Estimates

    NEWS

    Any fitness buff will tell you that the estimates of calories burned made by smartphones, smartwatches and other wearable devices vary wildly. That's because these devices lack the sensors...

  • hcii logo watermark

    What Makes Digital Support Effective?

    PROJECT

    Online mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counsel...

  • matching for peer support - an illustration of 7 different silhouette images with dashed lines to visualize potential interconnectedness

    Matching for Peer Support

    PROJECT

    Online mental health communities (OMHCs) have emerged in recent years as an effective and accessible way to obtain peer support, filling crucial gaps of t...

  • Smartwatch sensor technology developed by CMU researchers could help doctors make more accurate diagnoses of attention deficit hyperactivity disorder in children.

    Smartwatches Could One Day Help Diagnose ADHD in Children

    NEWS

    Smartwatch sensor technology developed by Carnegie Mellon University researchers could help doctors make more accurate diagnoses of attention deficit hyperactivity disorder (ADHD)....

  • We built a visualization dashboard called Rx RiskMap that communicates and explains the results of a model to predict overdose risk across the state of Pennsylvania. The data shown is outdated and depicted for demonstration purposes only.

    Predicting and Visualizing Overdose Risk for Public Health

    PROJECT

    Overdose due to opioid misuse and abuse is currently a critical public health issue in the United States and worldwide. Machine learning (ML) approaches h...

  • New CMU-led research has developed a model that can predict how stay-at-home orders affect the mental health of people with chronic neurological disorders.

    Machine Learning Model Predicts Health Conditions of People With MS During Stay-at-Home Periods

    NEWS

    Research led by Carnegie Mellon University has developed a model that can accurately predict how stay-at-home orders like those put in place during the COVID-19 pandemic affect the mental ...

  • splash screen for Bloomwood Stories: Block Party

    Bloomwood Stories

    PROJECT

    Bloomwood Stories: Block Party is a visual novel that aims to increase players' health self-efficacy and connect them to health resources at their local l...

  • screenshot of the Frolic app in the App Store

    Hammer and Kalarchian Win Shape of Health Competition

    NEWS

    A new game developed by Jessica Hammer and Melissa Kalarchian, two Pittsburgh-based researchers, won first prize in a national competition sponsored by the United States Department of Heal...

  • sensing relationships icon: a continuous loop between a person and their friends with a mobile phone in the middle

    Understanding Mental Health with Mobile Sensing

    PROJECT

    Understanding how our family and friends affect our mental health People are social beings in nature and our friends and family play a crucial part in ou...

  • Audio Emotion Recognition

    PROJECT

    We have built an emotion recognition system based on prosodic features (i.e. intensity, pitch, formant frequencies of sounds) combined with short-term per...

  • Virtual Rehabilitation Assistants (VRAs)

    PROJECT

    VRAs are applications of wearable devices which track patient home exercises in order to quantify exercise metrics regarding compliance, performance, and ...