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Exploration Behavior Number of sites visited (ns) Number of pages visited (np) Foraging time Time to Review (tr) Cognitive HCI factors Foraging Surplus.

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Presentation on theme: "Exploration Behavior Number of sites visited (ns) Number of pages visited (np) Foraging time Time to Review (tr) Cognitive HCI factors Foraging Surplus."— Presentation transcript:

1 Exploration Behavior Number of sites visited (ns) Number of pages visited (np) Foraging time Time to Review (tr) Cognitive HCI factors Foraging Surplus (s) Demographic HCI factors Age (a) Perceived site usefulness based on previous experience (pu) Gender (g) Education (e) Personal Innovativeness (PIIT) Cognitive absorption (CA) Temporal Dissociation (TD) Focused Immersion (FI) Heightened Enjoyment (HE) Control (CD) Curiosity (CU) Surrender / Acquisition (sa) Cognitive Playfulness (CPS) Computer Self- Efficacy (CSE) Usage Consolidation (uc) Patch Exhaustion (se) (access order) Information Load Number of patches (p) Number of items (q) Site controlled time (ta,to,te,tf,tz) H1: a,b H2: a,b H3: a,b H4: a,b H5: a,bH6: a,bH7: a,b H8: a,b H9: a,b H10: a H10: b,c H11: a,b,c,d,e H13: a H13: bH12:

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3 1.0 Develop theoretical constructs & measures 2.1 Develop stratified sampling plan 3.1 Setup research facility & install monitoring software 3.2 Recruit participants 2.2 Develop classification instrument 2.3 Develop informed consent form, human research application 3.3 Execute experiment with core group 4.1 Review recordings & classify events 4.2 Analyze data & develop schoastic behavioral model 4.3 Analyze data & test hypotheses 4.4 Examine control group for re-test reliability 4.5 Examine how findings fit existing theories 3.4 Execute experiment with control group 4.6 Examine findings for explanatory purposes 4.7 Determine implications of findings 5.1 Refine behavioral model 5.2 Build simulation model 5.3 Test relationships & weights of factors 5.4 Explore limits, asymptotes & non-linear relationships 6.0 Summarize findings & conclude research Pre-activities Planning Execution Analysis Model building & simulation Summary


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