PRE2020 3 Group7

Smart Study System

Smart Study System

Yes

Group Members

Name	Study	Student ID
Wouter de Vries	Computer Science	1463748	w.p.h.d.vries@student.tue.nl
Ilana van den Akkerveken	Psychology & Technology	1224158	i.a.f.v.d.akkerveken@student.tue.nl
Joep Obers	Mechanical Engineering	1455117	j.g.p.m.obers@student.tue.nl
Jens Reijnen	Psychology & Technology	1378074	j.m.t.reijnen@student.tue.nl
Erick Hoogstrate	Mechanical Engineering	1455176	e.hoogstrate@student.tue.nl

Plan

Planning

Week	Activity	Name
1	Choose a subject	All
	Literature research for problem statement and SotA	All
2	x	x
	x	x
3	x	x
	x	x
4	x	x
	x	x
	x	x
5	x	x
	x	x
	x	x
	x	x
6	x	x
	x	x
	x	x
7	x	x
	x	x
	x	x
	x	x
8	x	x
	x	x
	x	x
	x	x
9	x	x
	x	x
	x	x
	x	x

Milestones

• 1
• 2
• 3
• Complete the Wiki page.

Deliverables

• 1
• 2
• 3

Approach

Text

Subject

x

Problem statement

Problem statement

Objectives

Objective

Users

Students

Primary Users

Students

Secondary Users

People working from home

Requirements

The smart study system shall:

• 1
• 2
• 3

State of the Art

1. Ahmad, M. I., Mubin, O., Shahid, S., & Orlando, J. (2017). Emotion and memory model for a robotic tutor in a learning environment.

A robot tried to teach children vocabulary, while the children were playing snake. The robot was either giving positive, negative or neutral feedback. The result of the positive feedback had a significant effect compared to the other two in addition the robots helped to learn the children learn vocabulary.

References

Aylett, M. P., Sutton, S. J., & Vazquez-Alvarez, Y. (2019, August). The right kind of unnatural: designing a robot voice. In Proceedings of the 1st International Conference on Conversational User Interfaces (pp. 1-2).

Logbook

Date	Name	Activity	Time spent (HH:MM)
03/02/20	All	Discussing the subject	01:00