Cours 3

• CAMP framework


  4 factors: Body - physical comfort, Attention - interface (display), Manipulation - ease of motor manipulation, Perception - interface - simple, distinct, and easy to navigate
• Wearable


  The use of the human body as a medium of support for the described object
• Society has historically evolved its tools and products into more portable, mobile (wearable) forms
• Shrinking computer tools from the desktop paradigm to a more portable scale doesn't take advantage of a completely new usage context
• Human evolution hasn't kept pace by shrinking our fingers
• Symbol WSS 1000


  Barcode scanning system including a laser scanner (RS 1), a computer on an "arm" (WWC 1000), used for reading and storing product information
• Portable devices attributes


  • Placement
  • Shape
  • Movement
  • Perception of size
  • Variations in size
  • Attachment
  • Content
  • Weight
  • Accessibility
  • Interaction
  • Thermal role
  • Aesthetics
• Portable devices sensors


  • Accelerometers
  • Gyroscopes
  • Heart rate monitors
  • Optical heart rate sensor
  • Bioimpedance sensor
  • Proximity sensor
• Machine learning algorithms


  Support Vector Machine (SVM) is a supervised machine learning algorithm used for both classification and regression
• Attention


  The number of simultaneous activities that people can perform influences their effectiveness, frequent interruptions require refocusing attention, short-term memory can hold 7 +/- 2 units of information, in the mobile context, the user's attention is divided between the computing task and physical environment activities, interfaces should use technology to maintain human attention and avoid information overload, people need to continuously evaluate the attention resources they can allocate to the interface and the period of time they can do so

  
• Herbert Simon


  Scientist, Nobel Prize winner in computer science, economics, and cognitive psychology
• Speech-generating device (SGD)


  Stephen Hawking (1985 - loses the ability to speak) spoke using a single muscle in his cheek, an infrared sensor mounted on his glasses detected the movements of that muscle and selected letters by twitching his cheek, Dasher: a text selection interface based on prediction, using a statistical model to anticipate the next character that the user might want to select, users navigate through the Dasher interface by moving the pointer or control indicator toward the characters they wish to select, can be controlled by various methods, such as the mouse, trackball, touchpad, or even through a device that tracks eye or head movement, making it extremely useful for individuals with disabilities
• Psychologists need to consider how to build the app/device/gadget and how to assess the outcomes of the app/device/gadget
• Portable device for monitoring and improving sleep quality


  How would you design a portable device that tracks sleep patterns and provides users with feedback on how to improve their sleep quality, what factors would you consider, what sensors would you consider using
• Assessing the impact of wearable technology on workplace productivity

  Researching and analyzing the impact of wearable technology on workplace productivity, exploring the benefits and drawbacks of using wearable devices such as smart watches or augmented reality glasses in the workplace, how would these changes affect employee performance
• Types of Wearable Devices

  • Smartwatches
  • Fitness Trackers
  • Augmented Reality Glasses

  
• Sensoria running socks reduce the risk of injuries
• Running on concrete is bad, how about asphalt?
• Nadi X yoga pants, Haptic pants, Haptic feedback
• Wearable Technology and Cognitive Load

  How it affects cognitive performance and behavior, the type and placement of wearable devices can affect cognitive load, incorporating wearable technology into educational or training contexts can improve cognitive performance and learning outcomes, wearable devices can also be used to monitor cognitive load levels in real-time, providing feedback to users and potentially improving their performance and behavior
• The study on Cognitive Load Monitoring With Wearables is open-access and can be downloaded
• Wearable device data


  • R-R (or inter-beat) intervals, galvanic skin response (GSR), heart rate (HR), skin temperature (ST)
• Wearables and Health: Monitoring Vital Signs and Preventing Disease

  Wearable devices can monitor vital signs such as heart rate, blood pressure, and oxygen saturation levels, providing continuous data that can be used to detect health problems early and prevent disease, improve patient outcomes by enabling remote monitoring of chronic conditions and reducing the need for hospital visits, help promote healthy behaviors, such as encouraging physical activity and monitoring sleep patterns, which can help prevent chronic diseases such as diabetes, heart disease, and obesity, the data collected by wearable devices can be analyzed using artificial intelligence and machine learning algorithms, providing insights into patterns and trends in a population's health and enabling the development of personalized interventions for individuals
• The total population of the country is 58.78 million (August 2019)
• The study on the use of machine learning in health economics and outcomes research using data from wearable devices is open-access and can be downloaded
• Wearable Technology and Safety

  Wearable devices can improve workplace safety by monitoring the health and safety of employees in real-time, detect potential hazards, and alerting workers to dangerous situations, wearable devices can also be used for personal safety, such as emergency response devices that allow individuals to call for help with just a push of a button, wearables can also be used to monitor and improve the safety of individuals with medical conditions or disabilities
• We cannot train a machine learning model if we do not have data