Studyflow run cmpe3hokd01pqb201a02szqgp

Setup

Conversation Name

Dictionary

Persons

No persons added yet.

Events

tutoring

17 Events

[Gesprächsbeginn]

Student (student)

greet

Assistant (assistant)

Deflection: 1.41

Actor EPA: E=2.27, P=0.19, A=0.75Behavior EPA: E=1.94, P=0.35, A=0.68Object EPA: E=1.17, P=-0.24, A=0.18

Ob ich einen beständige Stelle in meiner Branche finde

Student (student)

query

Assistant (assistant)

Deflection: 1.16

Actor EPA: E=0.84, P=0.13, A=0.74Behavior EPA: E=0.41, P=0.26, A=0.38Object EPA: E=0.63, P=-0.52, A=0.05

Ob ich von Jahr zu Jahr die STelle wechseln muss und ob ich jedes Jahr überhaupt eine Stelle bekomme

Student (student)

ask_about

Assistant (assistant)

Deflection: 2.17

Actor EPA: E=0.53, P=-0.07, A=0.47Behavior EPA: E=0.52, P=-0.02, A=-0.07Object EPA: E=0.43, P=-0.55, A=0.02

Eher eine Befürchtung und Gaming/Systementwickler-Branche

Student (student)

inform

Assistant (assistant)

Deflection: 2.33

Actor EPA: E=1.22, P=0.29, A=0.54Behavior EPA: E=1.28, P=0.64, A=0.67Object EPA: E=0.66, P=-0.29, A=0.12

Aktuell ist eine hohe Fluktation in der Branche, vorallem da KI-Agents diese Aufgaben mit Leichtigkeit übernehmen kann

Student (student)

inform

Assistant (assistant)

Deflection: 1.88

Actor EPA: E=1.58, P=0.48, A=0.60Behavior EPA: E=1.42, P=0.71, A=0.67Object EPA: E=0.81, P=-0.18, A=0.16

Angst und Frustration

Student (student)

come_to

Assistant (assistant)

Deflection: 0.99

Actor EPA: E=1.70, P=0.25, A=0.45Behavior EPA: E=1.40, P=0.21, A=0.17Object EPA: E=0.83, P=-0.15, A=0.12

finazielle Unsicherheit

Student (student)

come_to

Assistant (assistant)

Deflection: 1.04

Actor EPA: E=1.73, P=0.12, A=0.38Behavior EPA: E=1.39, P=0.18, A=0.14Object EPA: E=0.84, P=-0.13, A=0.09

Das es STellen gibt, die mir zusichern dass ich dort lange arbeiten kann, eine geregeltes EInkommen habe und mich weiterentwicklen kann

Student (student)

inform

Assistant (assistant)

Deflection: 1.79

Actor EPA: E=1.83, P=0.40, A=0.55Behavior EPA: E=1.53, P=0.71, A=0.64Object EPA: E=0.94, P=-0.07, A=0.12

oke

Student (student)

agree_with

Assistant (assistant)

Deflection: 1.62

Actor EPA: E=2.04, P=0.45, A=0.34Behavior EPA: E=1.71, P=0.56, A=-0.06Object EPA: E=0.99, P=-0.05, A=0.08

Frage 1: Es gibt diese Stellen, aber diese sind moralisch etwas schlecht, bspw. die Glücksspielindustrie. Frage 2: Ich könnte mich umorientiren und eine andere Richtung einschlagen bspw. 2 Studium

Student (student)

ask_about

Assistant (assistant)

Deflection: 1.28

Actor EPA: E=1.05, P=0.07, A=0.26Behavior EPA: E=0.64, P=0.03, A=-0.19Object EPA: E=0.58, P=-0.37, A=-0.02

Zeit zu verlieren wenn ich einen neuen Weg einschlage und die Stagnation eigener Ziele

Student (student)

come_to

Assistant (assistant)

Deflection: 1.45

Actor EPA: E=1.37, P=-0.01, A=0.23Behavior EPA: E=1.27, P=0.14, A=0.10Object EPA: E=0.68, P=-0.24, A=0.04

nicht das ich wüsste

Student (student)

disagree_with

Assistant (assistant)

Deflection: 5.79

Actor EPA: E=-0.42, P=0.28, A=0.74Behavior EPA: E=-0.58, P=0.67, A=0.92Object EPA: E=0.11, P=-0.71, A=0.02

Eigene Spiele und Reichtum

Student (student)

inform

Assistant (assistant)

Deflection: 3.42

Actor EPA: E=0.80, P=0.45, A=0.61Behavior EPA: E=1.12, P=0.66, A=0.72Object EPA: E=0.43, P=-0.45, A=0.14

oke

Student (student)

agree_with

Assistant (assistant)

Deflection: 1.86

Actor EPA: E=1.46, P=0.45, A=0.31Behavior EPA: E=1.46, P=0.52, A=-0.05Object EPA: E=0.65, P=-0.25, A=0.12

Student (student)

agree_with

Assistant (assistant)

Deflection: 1.75

Actor EPA: E=1.79, P=0.43, A=0.17Behavior EPA: E=1.59, P=0.54, A=-0.13Object EPA: E=0.81, P=-0.14, A=0.10

realistisch

Student (student)

comment_about_something_to

Assistant (assistant)

Deflection: 3.22

Actor EPA: E=1.77, P=0.81, A=-0.16Behavior EPA: E=1.61, P=1.16, A=-0.89Object EPA: E=0.84, P=-0.18, A=-0.01

Ich würdde mit der Stelle anfangen und parallel an eigenen Projektenn. Die Kombination ist gut.

Student (student)

inform

Assistant (assistant)

Deflection: 2.20

Actor EPA: E=1.89, P=0.71, A=0.23Behavior EPA: E=1.59, P=0.80, A=0.45Object EPA: E=0.95, P=-0.18, A=0.08

New Event

Actor

Behavior

Object

Deflection Analysis

Deflection

Likely Threshold (< 4.0)

Unlikely Threshold (> 8.0)

Conversation Timeline

Student → greet → Assistant
D=1.4

Student → query → Assistant
D=1.2

Student → ask_about → Assistant
D=2.2

Student → inform → Assistant
D=2.3

Student → inform → Assistant
D=1.9

Student → come_to → Assistant
D=1.0

Student → inform → Assistant
D=1.8

Student → agree_with → Assistant
D=1.6

Student → ask_about → Assistant
D=1.3

Student → come_to → Assistant
D=1.4

Student → disagree_with → Assistant
D=5.8

Student → inform → Assistant
D=3.4

Student → agree_with → Assistant
D=1.9

Student → agree_with → Assistant
D=1.8

Student → comment_about_something_to → Assistant
D=3.2

Student → inform → Assistant
D=2.2