Contents
- 19.1 Overview
- 19.2 Introduction
- 19.3 Levels and Types of Human Contact
- 19.3.1 Social Scale
- 19.3.2 Visibility and Embodiment
- 19.3.3 Intentionality
- 19.3.4 Who Is in Control
- 19.3.5 Levels of Automation
- 19.4 On a Device -- Intelligent User Interfaces
- 19.4.1 Low-level Input
- 19.4.2 Conversational User Interfaces
- 19.4.3 Predicting What Next
- 19.4.4 Finding and Managing Information
- 19.4.5 Helping with Tasks
- 19.4.6 Adaptation and Personalisation
- 19.4.7 Going Small
- 19.5 In the World -- Smart Environments
- 19.5.1 Configuration
- 19.5.2 Sensor Fusion
- 19.5.3 Context and Activity
- 19.5.4 Designing for Uncertainty in Sensor-rich Smart Environments
- 19.5.5 Dealing with Hiddenness -- A Central Heating Controller
- 19.6 Designing for AI--Human Interaction
- 19.6.1 Appropriate Intelligence -- Soft Failure
- 19.6.2 Feedback -- Error Detection and Repair
- 19.6.3 Decisions and Suggestions
- 19.6.4 Case Study: onCue -- Appropriate Intelligence by Design
- 19.7 Towards Human--Machine Synergy
- 19.7.1 Tuning AI Algorithms for Interaction
- 19.7.2 Tuning Interaction for AI
- 19.8 Summary
Glossary items referenced in this chapter
accuracy, activity recognition, agents!embodied, algorithmic accountability, appropriate intelligence, appropriation, auto-complete, automated decision, autonomous car, base rate, Bayes Theorem, boundary objects, camera!frame, chatbot, ChatGPT, classification, Clippy, computer vision, confidence, confidence in output, confidence measures, confusion matrix, conservative warnings, context of human activity, context-aware interaction, convolutional neural network, data detector, decision tree, decision tree in IVR, deep neural network, deterministic ground, dot-com period, dynamic function allocation, EAGER, echo chambers, ELIZA, emergent behaviour, epistemic interaction, expert system, explainable AI, explicit confirmation, false negative, false positive, feature interaction, fourier analysis, function allocation, gesture recognition, gig economy, GPT-3, handwriting recognition, heuristic evaluation function, Hick's law, home automation, Human Computer Interaction, human-in-the-loop, hybrid AI, hypertext, implicit feedback, implicit interaction, incidental interaction, industrial robotics, intelligent user interfaces, intentionality, interactive voice response, internet of things, interpretation of user actions, liberal suggestions, machine learning, Microsoft, modal user interface, multimodal interfaces, named entity recognition, natural language processing, neural network, onCue, optimal, optimal route, pattern matching, pattern recognition, pen-based systems, personal information management, Phone Slave, privacy, probability, probability estimate, programming-by-demonstration, Query-by-Browsing, reCAPTCHA, recommender systems, redundancy, relevance feedback, responsibility, robotics, ROC, sample rate, search engine, search terms, semantic desktop, semantic web, semi-autonomous car, sensor fusion, sensor redundancy, signal processing, smart dust, social media, speech recognition, statistical techniques, synergistic interaction, threshold, transfer learning, transformer model, transparency, transpose, trigger, uncertainty, uncertainty of sensors, user interface, voice assistants