22_chat

Setup

Conversation Name

Dictionary

22_chat.txt

Persons

User (student)

average

Bot (assistant)

average

Events

Greeting and Identification

4 Events

User (student)

greet

Bot (assistant)

Deflection: 1.92

Actor EPA: E=1.98, P=0.51, A=0.54Behavior EPA: E=1.75, P=0.54, A=0.56Object EPA: E=0.77, P=-0.48, A=-0.57

Bot (assistant)

ask

User (student)

Deflection: 6.11

Actor EPA: E=0.91, P=0.26, A=0.33Behavior EPA: E=0.53, P=0.18, A=0.36Object EPA: E=0.41, P=-0.52, A=-0.81

User (student)

inform

Bot (assistant)

Deflection: 3.57

Actor EPA: E=1.28, P=0.58, A=0.48Behavior EPA: E=1.16, P=0.88, A=0.45Object EPA: E=0.49, P=-0.70, A=-0.89

Bot (assistant)

thank

User (student)

Deflection: 10.55

Actor EPA: E=1.70, P=0.77, A=-0.24Behavior EPA: E=1.62, P=0.88, A=-0.40Object EPA: E=0.67, P=-1.07, A=-1.01

New Event

Actor

Behavior

Object

Understanding Exam Anxiety

5 Events

Bot (assistant)

inform

User (student)

Deflection: 6.21

Actor EPA: E=1.23, P=0.42, A=0.53Behavior EPA: E=1.12, P=0.61, A=0.70Object EPA: E=0.89, P=-0.32, A=-0.44

User (student)

ask_about

Bot (assistant)

Deflection: 3.70

Actor EPA: E=0.55, P=0.11, A=0.03Behavior EPA: E=0.20, P=0.02, A=0.04Object EPA: E=0.38, P=-0.41, A=-0.75

Bot (assistant)

advise

User (student)

Deflection: 9.20

Actor EPA: E=0.89, P=0.53, A=-0.19Behavior EPA: E=0.70, P=0.82, A=-0.24Object EPA: E=0.37, P=-0.87, A=-0.88

User (student)

ask_about

Bot (assistant)

Deflection: 5.13

Actor EPA: E=0.39, P=0.13, A=-0.24Behavior EPA: E=0.04, P=-0.02, A=-0.18Object EPA: E=0.18, P=-0.71, A=-0.94

Bot (assistant)

inform

User (student)

Deflection: 9.99

Actor EPA: E=1.11, P=0.47, A=0.28Behavior EPA: E=0.92, P=0.91, A=0.31Object EPA: E=0.38, P=-0.72, A=-0.98

New Event

Actor

Behavior

Object

Factors Influencing Coping Strategies

6 Events

User (student)

ask_about

Bot (assistant)

Deflection: 2.51

Actor EPA: E=0.84, P=0.21, A=0.14Behavior EPA: E=0.38, P=-0.00, A=0.14Object EPA: E=0.35, P=-0.52, A=-0.52

Bot (assistant)

inform

User (student)

Deflection: 9.11

Actor EPA: E=1.24, P=0.59, A=0.42Behavior EPA: E=1.07, P=0.86, A=0.44Object EPA: E=0.45, P=-0.69, A=-0.82

User (student)

ask_about

Bot (assistant)

Deflection: 4.52

Actor EPA: E=0.45, P=0.21, A=-0.02Behavior EPA: E=0.09, P=0.03, A=0.00Object EPA: E=0.21, P=-0.66, A=-0.92

Bot (assistant)

inform

User (student)

Deflection: 9.95

Actor EPA: E=1.10, P=0.52, A=0.35Behavior EPA: E=0.93, P=0.90, A=0.36Object EPA: E=0.38, P=-0.73, A=-0.95

User (student)

ask_about

Bot (assistant)

Deflection: 4.89

Actor EPA: E=0.38, P=0.16, A=-0.04Behavior EPA: E=0.03, P=0.01, A=-0.02Object EPA: E=0.17, P=-0.66, A=-0.94

Bot (assistant)

inform

User (student)

Deflection: 10.03

Actor EPA: E=1.07, P=0.50, A=0.35Behavior EPA: E=0.89, P=0.90, A=0.36Object EPA: E=0.35, P=-0.71, A=-0.95

New Event

Actor

Behavior

Object

Combining Self-Efficacy and Procrastination

4 Events

User (student)

ask_about

Bot (assistant)

Deflection: 2.51

Actor EPA: E=0.84, P=0.21, A=0.14Behavior EPA: E=0.38, P=-0.00, A=0.14Object EPA: E=0.35, P=-0.52, A=-0.52

Bot (assistant)

advise

User (student)

Deflection: 9.30

Actor EPA: E=1.00, P=0.64, A=-0.15Behavior EPA: E=0.79, P=0.80, A=-0.21Object EPA: E=0.37, P=-0.95, A=-0.84

User (student)

ask_about

Bot (assistant)

Deflection: 4.99

Actor EPA: E=0.42, P=0.21, A=-0.23Behavior EPA: E=0.07, P=-0.01, A=-0.17Object EPA: E=0.20, P=-0.78, A=-0.96

Bot (assistant)

inform

User (student)

Deflection: 10.13

Actor EPA: E=1.13, P=0.51, A=0.27Behavior EPA: E=0.94, P=0.92, A=0.30Object EPA: E=0.39, P=-0.77, A=-1.01

New Event

Actor

Behavior

Object

Strategies and Research on Procrastination

6 Events

User (student)

ask_about

Bot (assistant)

Deflection: 2.51

Actor EPA: E=0.84, P=0.21, A=0.14Behavior EPA: E=0.38, P=-0.00, A=0.14Object EPA: E=0.35, P=-0.52, A=-0.52

Bot (assistant)

inform

User (student)

Deflection: 9.11

Actor EPA: E=1.24, P=0.59, A=0.42Behavior EPA: E=1.07, P=0.86, A=0.44Object EPA: E=0.45, P=-0.69, A=-0.82

User (student)

ask_about

Bot (assistant)

Deflection: 4.52

Actor EPA: E=0.45, P=0.21, A=-0.02Behavior EPA: E=0.09, P=0.03, A=0.00Object EPA: E=0.21, P=-0.66, A=-0.92

Bot (assistant)

inform

User (student)

Deflection: 9.95

Actor EPA: E=1.10, P=0.52, A=0.35Behavior EPA: E=0.93, P=0.90, A=0.36Object EPA: E=0.38, P=-0.73, A=-0.95

User (student)

ask_about

Bot (assistant)

Deflection: 4.89

Actor EPA: E=0.38, P=0.16, A=-0.04Behavior EPA: E=0.03, P=0.01, A=-0.02Object EPA: E=0.17, P=-0.66, A=-0.94

Bot (assistant)

advise

User (student)

Deflection: 10.21

Actor EPA: E=0.83, P=0.57, A=-0.23Behavior EPA: E=0.62, P=0.84, A=-0.28Object EPA: E=0.29, P=-0.97, A=-0.96

New Event

Actor

Behavior

Object

Creating Productive Time Pressure

4 Events

User (student)

ask_about

Bot (assistant)

Deflection: 2.51

Actor EPA: E=0.84, P=0.21, A=0.14Behavior EPA: E=0.38, P=-0.00, A=0.14Object EPA: E=0.35, P=-0.52, A=-0.52

Bot (assistant)

advise

User (student)

Deflection: 9.30

Actor EPA: E=1.00, P=0.64, A=-0.15Behavior EPA: E=0.79, P=0.80, A=-0.21Object EPA: E=0.37, P=-0.95, A=-0.84

User (student)

ask_about

Bot (assistant)

Deflection: 4.99

Actor EPA: E=0.42, P=0.21, A=-0.23Behavior EPA: E=0.07, P=-0.01, A=-0.17Object EPA: E=0.20, P=-0.78, A=-0.96

Bot (assistant)

inform

User (student)

Deflection: 10.13

Actor EPA: E=1.13, P=0.51, A=0.27Behavior EPA: E=0.94, P=0.92, A=0.30Object EPA: E=0.39, P=-0.77, A=-1.01

New Event

Actor

Behavior

Object

Deflection Analysis

Deflection

Likely Threshold (< 4.0)

Unlikely Threshold (> 8.0)

Conversation Timeline

User → greet → Bot
D=1.9

Bot → ask → User
D=6.1

User → inform → Bot
D=3.6

Bot → thank → User
D=10.5

Bot → inform → User
D=6.2

User → ask_about → Bot
D=3.7

Bot → advise → User
D=9.2

User → ask_about → Bot
D=5.1

Bot → inform → User
D=10.0

User → ask_about → Bot
D=2.5

Bot → inform → User
D=9.1

User → ask_about → Bot
D=4.5

Bot → inform → User
D=10.0

User → ask_about → Bot
D=4.9

Bot → inform → User
D=10.0

User → ask_about → Bot
D=2.5

Bot → advise → User
D=9.3

User → ask_about → Bot
D=5.0

Bot → inform → User
D=10.1

User → ask_about → Bot
D=2.5

Bot → inform → User
D=9.1

User → ask_about → Bot
D=4.5

Bot → inform → User
D=10.0

User → ask_about → Bot
D=4.9

Bot → advise → User
D=10.2

User → ask_about → Bot
D=2.5

Bot → advise → User
D=9.3

User → ask_about → Bot
D=5.0

Bot → inform → User
D=10.1