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Virtual Reality Lecture 4. Human Factors : Psychological and Cognitive Issues 고려대학교 그래픽스 연구실
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Basic model of perception & cognition H-sensor perception cognition motion control H-effector action Human Natural environment sensing knowledge
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Contents Presence and Reality Human Visual System Human Auditory System Other Perceptual systems Cognitive system
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Presence and Reality 1. Tele-presence and Virtual presence 2. AIP cube 3. Model P 4. Measuring reality 5. Philosophical considerations
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1. Tele-presence INDEPENDENT VARIABLESDEPENDENT MEASURES Experimental determination of presence,learning efficiency, and performance.
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2. AIP Cube Zeltzer (1992) A model for describing, categorizing, comparing various VEs, rather than what contitutes the sense of presence. Three components –autonomy –interaction –presence
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autonomy and Interaction Autonomy –the ability of a computation model to act and react to simulated events and stimuli 0 : passive, geometric model 1 : most sophisticated, knowledge based virtual agent 0.x : physics-based model Interaction –the degree of access to model parameters at runtime 0 : "batch" processing - no interaction at runtime 1 : comprehensive, realtime access to all parameters
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autonomy vs. interaction autonomy - interaction plane – Two axes are complementary (or inter-related). –The level of interaction is (inversely) determined by the degree of autonomy. degree of freedom problem –Providing direct assess to many parameters is not necessarily productive.
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presence –A rough, lumped measure of the number and fidelity of available sensory input and output channels –Measure of the Selective Fidelity – must consider the degree of match between the sensory data and mental model. – may consider sensory substitution (e.g., auditory output, instead of haptic).
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autonomy, interaction, presence (0,0,0) (1,0,0)(1,1,0) (0,1,0) (0,1,1)(0,0,1) (1,0,1) Autonomy Interaction Presence Digital Shakespeare Task Level Graphical Simulation Conventional Animation Systems ca. 1990 "Virtual Reality" (1,1,1)
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Interesting possibilities 000batch processing of simple models on plotter 001 non-interactive virtual tour 010 animation systems 011 commercial virtual environment 100high precision simulation 101"Virtual Theater" 110MUD(?) 111truly a Virtual Reality Autonomy Interaction Presence Typical System
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3. Model P Perception –visual –auditory –tactlie –etc. Interaction –self –environmental –social Model –geometry –kinematics –dynamics –behavioral –cognitive –emotional
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Factors that affect the quality of perception –inclusiveness –surroundedness –extensiveness –vividness –synchronization
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4. Measuring reality (1) Psychological and subjective measures (2) Psychophysical measures (3) Physiological measures (4) Performance measures (5) Reflex response
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(1) Psychological and subjective measures procedure i) Scale rating along a uni-directional axis. ii) Compute the psychological distance Ex. NASA TLX scale –mental load = f (mental demand, physical demand, temporal demand, performance, effort) Ex. Presence assessment Ex. factorial studies
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Ex. Discrimination between a real and a virtual worlds P (judged “real” | actually real) P (judged “real” | actually virtual) idea: image quality virtual < real virtual = real + noise
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(2) Psycho-physical measures measures more “local” parameters. Types of classic problems –sensory threshold –recognition –discrimination –scale
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(3) Physiological measures classes –cardiovascular –respiratory –nervous –sensors –blood chemistry
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(4) Performance measures Examples –# of errors –time spent –accuracy Assumption: presence = f (performance) But, we may decrease presence intentionally in order to increase performance.
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(5) Reflex response Response to unexpected / threatening stimuli. Socially-conditioned response effects of prolonged exposure
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5. Philosophical considerations Theories on reality –Plato –Leibniz –Goodman –Popper
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