Daily Note: Intelligent Systems and Interaction

These notes are a summary of concepts presented in “A Conceptual framework for Adaptive User Interfaces for older adults.”

Machado, Eduardo & Singh, Deepika & Cruciani, Federico & Chen, Liming & Hanke, Sten & Salvago, Fernando & Kropf, Johannes & Holzinger, Andreas. (2018). A Conceptual framework for Adaptive User Interfaces for older adults. 782-787. 10.1109/PERCOMW.2018.8480407.

  1. The Relationships Between Social Interaction and Intelligent Systems
    • Integration of intelligent systems to improve daily quality of life
    • Promotion of new social interaction forms
  2. Digital Assistive Technologies for Older Adults
    • Scaling assistive technologies
      • Data-driven modification of interface layouts based on user goals and needs
  3. Cognitive Load and Measurement Techniques
    • Types of Cognitive Load
      • Extraneous
      • Intrinsic
    • Measurement techniques:
      • Subjective: Self-reported assessments
      • Dual-task: Performance on primary and secondary tasks
      • Physiological: Includes muscle tension, pupil dilation, heart rate, blood pressure, and neuronal activity
    • Eyetracking as a tool for pupil data collection
  4. Intelligent Systems and Task-Evoked Responses
    • Using task-evoked pupillary responses as a feedback loop to interactions
    • Exploration of other physiological responses to interactions with intelligent systems
  5. Peripheral Devices for Interaction and Data Collection
    • Integration of peripherals such as:
      • Eyetracking systems
      • Intelligent computer mouse with sensors skin conductance, pulse, and pressure
    • Customizing interaction mechanisms based on user preferences and skills
  6. Localized Data Collection and Storage
    • Collecting data locally on user devices for context-specific processing
    • Utilizing barcodes and RFID for system decision-making
  7. Longitudinal Data Collection and User Profiles
    • Creation of dynamic user profiles through continuous data gathering
    • Challenges in measuring face-to-screen distance for effective data collection
  8. User Profile Modeling
    • Building user profiles based on dynamic data repositories
    • Enabling adaptive, personalized responses by intelligent systems