Assessment of user affective and belief states for interface adaptation: Application to an Air Force pilot task

User Modeling and User-Adapted Interaction

Volumn 12, Issue 1, 2002, Pages 1-47

  Hudlicka, Eva ^a   McNeese, Michael D ^b  

^a Psychometrix Associates Inc   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Adaptive interface; Affect adaptation; Affect assessment; Affective computing; Aviation; Human computer interaction; User modeling

Indexed keywords

ADAPTIVE INTERFACES; AFFECT ASSESSMENT;

AVIATION; DECISION SUPPORT SYSTEMS; GRAPHICAL USER INTERFACES; HUMAN COMPUTER INTERACTION; KNOWLEDGE BASED SYSTEMS; VIRTUAL REALITY;

ADAPTIVE SYSTEMS;

EID: 0036152127     PISSN: 09241868     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1013337427135     Document Type: Article

References (69)

1. Integrating reactivity, goals, and emotion in a broad agent
2. Development and evaluation of a cognitive model of human performance in fighter aircraft
3. Modeling multimodal expression of user's affective subjective experience
4. Affect and memory
5. Mood and memory
6. Bayesian networks for modeling emotional state and personality
7. The psychophysiology of emotion
8. Issues in the design of emotional agents
9. Varieties of knowledge elicitation techniques
10. State of the art in adaptive interfaces
11. Lifelike pedagogical agents and affective computing: An exploratory synthesis
12. Measurement of situation awareness in dynamic systems
13. CHESHIRE: An intelligent adaptive user interface
14. User modeling in the design of interactive interface agents
15. An architecture for integrating expert systems
16. Adaptive human-machine interface for advanced air traffic management
17. SmartCar:Detecting driver stress
18. Increasing SIA architecture realism by modeling and adapting to affect and personality
19. Positive affect and decision making
20. Emotional episodes, facial expressions, and reported feelings in human-computer interaction
21. The recognition-primed decision (RPD) model: Looking back, looking forward
22. Recognition-primed decisions
23. This computer responds to user frustration
24. Brain mechanismof emotion and emotional learning
25. Cognitive-emotional interactions in the brain
26. Schemata and mental models in recognition-primed decision making
27. Agents that reduce work and information overload
28. A comprehensive cognitive engineering process for human-information systems
29. Humane intelligence: A human factors perspective for developing intelligent cockpits
30. Cognitive biases and the emotional disorders
31. Experience with a learning personal assistant
32. Modeling emotion and attitude in speech by means of perceptually based parameter values
33. Adaptive pilot/vehicle interfaces for the tactical air environment
34. The basics of basic emotion
35. Processing of fearful and neutral information by obsessive-compulsives
36. Emotion recognition agents in real world
37. Machine learning and knowledge representation in the LabUR approach to user modeling
38. Adaptive aiding for human/computer control
39. Studying the Emotion-antecedent appraisal process: The expert system approach
40. Memory deficits in compulsive checkers
41. Cognitive cockpit engineering: Coupling functional state assessment, task knowledge management, and decision support for context sensitive aiding
42. Judgements under uncertainty: Heuristics and biases
43. Development and validation of brief measues of positive and negative affect: The PANAS Scales
44. Compatibility and resource competition between modalities of input, output, and central processing
45. Designs are hypotheses about how artifacts shape cognition and collaboration
46. Capturing multiple perspectives: A user-centered approach to knowledge acquisition