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The first goal of this book is to extend Two Minds originating from behavioral economics to the domain of interaction, where the time dimension has to be dealt with rigorously; in human–machine interaction, it is of crucial importance how synchronization between conscious processes and unconscious processes is established for a sense of smoothness, and how memory processes and action selection processes are coordinated. The first half this book describes the theory in detail. The book begins by outlining the whole view of the theory consisting of action selection processes and memorization processes, and their interactions. Then, a detailed description for action selection processes theorized as a nonlinear dynamic human behavior model with real-time constraints is provided, followed by a description for memorization processes. Also, implications of the theory to human–machine interactions are discussed.
The second goal of this book is to provide a methodology to study how Two Minds works in practice when people use interactive systems. The latter half of this book describes theory practices in detail. A new methodology called Cognitive Chrono-Ethnography (CCE) is introduced, which adds the time dimension to Hutchins’ Cognitive Ethnography, in order to practice "know the users" systematically by designing user studies based on a simulation of users’ mental operations controlled by Two Minds. The author then shows how CCE has been applied to understanding the ways in which people navigate in real physical environments by walking and by car, respectively, and explores the possibility of applying CCE to predict people’s future needs. This is not for understanding how people use interfaces at present but to predict how people want to use the interfaces in the future given they are currently using them in a certain way
Finally, the book concludes by describing implications of human–machine interactions that are carried out while using modern artefacts for people's cognitive development from birth, on the basis of the theories of action selection and memorization.
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Seitenzahl: 196
Veröffentlichungsjahr: 2016
Cover
Title
Copyright
Introduction
PART 1: Theoretical Foundation for Dealing with Action Selection and Memorization
1 A Unified Theory of Action Selection and Memory
1.1. Organic self-consistent field theory
1.2. Development of brain architecture model under the NDHBmodel/RT
2 NDHB-Model/RT: Nonlinear Dynamic Human Behavior Model with Realtime Constraints
2.1. Maximum satisfaction architecture
2.2. Brain information hydrodynamics
2.3. Structured meme theory
2.4. NDHB-model/RT
2.5. MHP/RT: Model human processor with real-time constraints
2.6. Two Minds and emotions
3 Layered-structure of Memory and its Development
3.1. MHP/RT modules and their associated memories
3.2. Hierarchical structure of human action selection
3.3. Emotion initiation via memory processes
4 Implication for Human–Machine Interaction: Autonomous System Interaction Design (ASID) based on NDHB-Model/RT
4.1. Users modeled by MHP/RT with MD memory frames
4.2. Autonomous systems versus linear systems
4.3. Needs that a society of information systems must meet
4.4. Outline of ASI
4.5. Conclusions
PART 2: Theoretically Motivated Methodology for Understanding Users
5 Cognitive Chrono-ethnography
5.1. Understanding people’s behavior in real life
5.2. Cognitive chrono-ethnography
6 A CCE Study: Slow Self-paced Navigation
6.1. Introduction: navigation in a train station by following signs
6.2. Steps 1 and 2 of CCE
6.3. Step 3 of CCE: monitor recruiting
6.4. Steps 4 and 5 of CCE: monitor behavior observation and individual model construction
6.5. Step 6 of CCE: socioecological model construction
6.6. Discussion
6.7. Conclusions
7 Fast Externally-paced Navigation
7.1. Introduction
7.2. Steps 1 and 2 of CCE
7.3. Step 3 of CCE: monitor recruiting
7.4. Steps 4 and 5 of CCE: monitor behavior observation and individual model construction
7.5. Conclusions
8 Designing for Future Needs
8.1. Introduction
8.2. Making inaccessible future needs accessible: t-translation invariant principle
8.3. A case study of CCE: why do fans repeat visits to the ballpark?
8.4. Discussion
8.5. Conclusions
Conclusion: Technique versus Skill Viewed from MHP/RT’s Four-Processes
Bibliography
Index
End User License Agreement
2 NDHB-Model/RT: Nonlinear Dynamic Human Behavior Model with Realtime Constraints
Table 2.1. Happiness goals and their relation to social layers. + denotes the degree of relevance of each goal to each layer, i.e. Individual, Community, and Social system, respectively. +++: most relevant, ++: moderately relevant, and +: weakly relevant
Table 2.2. Biological Activity: Complex Systems and Dissipative Structure
Table 2.3. Four operation modes of MHP/RT and their relationships to decision-making and action selection
Table 2.4. Four Processing Modes [KIT 11a]
Table 2.5. Relationships between Two Minds and emotions (adapted from our article [KIT 15b])
3 Layered-structure of Memory and its Development
Table 3.1. Relationships between the hierarchical structure of cognitive mechanism and that of neural networks (adapted from our article [KIT 14a])
6 A CCE Study: Slow Self-paced Navigation
Table 6.1. Study items for cognitive functions
Table 6.2. Results of the cognitive aging survey
Table 6.3. Brief description of the features of the selected train stations and the assigned tasks at each station
8 Designing for Future Needs
Table 8.1. The events that happened in respective years that characterize the fan level of events
Conclusion
Table 1. Characteristics of technique and skill
Introduction
Figure I.1. Process and Content in Two Cognitive Systems (adapted from [KAH 03])
Figure I.2. Screenshot from a car navigation system
1 A Unified Theory of Action Selection and Memory
Figure 1.1. Three fundamental constructs of O-SCFT
Figure 1.2. The guideline we adopted for selecting our architecture
Figure 1.3. Development of the sensory nervous system and the somatic nervous system, and interneurons connecting them with the action selection process (adapted from [KIT 15a])
Figure 1.4. Continuous cyclic loop of perception and movement (adapted from [KIT 14a])
2 NDHB-Model/RT: Nonlinear Dynamic Human Behavior Model with Realtime Constraints
Figure 2.1. Maximum satisfaction architecture (MSA)
Figure 2.2. Conditions to make people feel satisfaction
Figure 2.3. Interaction between brain and environment based on feed-forward control
Figure 2.4. Formation of cerebrum
Figure 2.5. Information flows in the brain
Figure 2.6. The structure of meme
Figure 2.7. Propagation of meme
Figure 2.8. Evolution of meme
Figure 2.9. Outline of MHP/RT (adapted from our article [KIT 15b], Figure 2). Solid lines indicates information for System 1 based processing and dotted lines indicates information for System 2 based processing. These two flows are synchronized before carrying out some behavior
Figure 2.10. MHP/RT (adapted from our article [KIT 12a])
Figure 2.11. Newell’s time scale of human action [NEW 90] and behavioral characteristics of each band
Figure 2.12. How the four processing modes work (adapted from our article [KIT 13])
Figure 2.13. Onset of consciousness and emergence of emotion (adapted from our article [KIT 15b])
Figure 2.14. Determination of next behavior (adapted from our article [KIT 15b])
3 Layered-structure of Memory and its Development
Figure 3.1. Continuous cyclic loop of perception and movement (repeated from Introduction)
Figure 3.2. Multidimensional memory frame (adapted from our article [KIT 13])
Figure 3.3. Relationships between the autonomous processing modules in MHP/RT and multidimensional memory frames in the distributed memory system (adapted from our article [KIT 14c])
Figure 3.4. A close-up view of the distributed memory system
Figure 3.5. Functional flow structure, layered structure and evolving cyclic network structure (adapted from our article [KIT 14c])
Figure 3.6. Memory reaction under real-time constraints (adapted from [KIT 12b])
Figure 3.7. MD-frames and emotion (an updated version of Figure 3.4)
4 Implication for Human–Machine Interaction: Autonomous System Interaction Design (ASID) based on NDHB-Model/RT
Figure 4.1. Users modeled by MHP/RT with MD memory frames
Figure 4.2. Society of linear systems and society of autonomous systems
Figure 4.3. An example of society composed of autonomous systems interaction (ASI)
5 Cognitive Chrono-ethnography
Figure 5.1. The CCE procedure
6 A CCE Study: Slow Self-paced Navigation
Figure 6.1. Signboard at the Tokyo station
Figure 6.2. Left: participant performing a task at the Sugamo station; center: the equipment; right: interview after task
7 Fast Externally-paced Navigation
Figure 7.1. Experimental setup (adapted from [KIT 09])
Figure 7.2. An example of route sketched by a participant
Figure 7.3. Episode 1: information that specified the point of action by using an easy-to-understand reference for the driver (adapted from [KIT 09])
Figure 7.4. Episode 2: information that caused the driver to pay attention to events for safe driving (adapted from [KIT 09])
Figure 7.5. Episode 3: information for safe and smooth driving. Note that cars drive on the left lanes in Japan (adapted from [KIT 09])
8 Designing for Future Needs
Figure 8.1. t-Translation invariant principle
Figure 8.2. Fan structure
Figure 8.3. Illustration of the field observation: a) three elite monitors in their seats watching a game, b) ear-mounted CCD camera, c) the view of the ear-mount camera and d) an electrocardiograph and an accelerometer
Figure 8.4. A screen shot from the interview session
Figure 8.5. A participant’s fan history during the period from 2004 to 2008
Figure 8.6. The evolution trajectory of each elite monitor. Left: the paths for those who had not known baseball when they were at the pre-fan stage. Right: the paths for those who had not been fan of this specific team when they were at the pre-fan stage
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Volume 1
Munéo Kitajima
Human–Machine Interaction Set
coordinated byJérôme Dinet
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