PRE2019 3 Group11

Emotional Support Bot aka The Lonely Bot

Group Members

Name	Student ID	Study	Student mail
Aristide Arnulf	1279793	Computer Science	a.l.a.arnulf@student.tue.nl
Floren van Barlingen	1314475	Industrial Design	f.c.e.v.barlingen@student.tue.nl
Robin Chen	1250590	Computer Science	h.r.chen@student.tue.nl
Merel Eikens	1247158	Computer Science	m.a.eikens@student.tue.nl
Dylan Harmsen	1313754	Electrical Engineering	d.a.harmsen@student.tue.nl

Introduction

Nowadays, the global population is growing ever older and as such we are seeing more and more elderly that are in need of care. One such issue that the elderly face is increasing feelings of loneliness. This may be due to the loss of close relationships or even just increasing isolation from living in a care home. In order to solve this problem, our group has decided to come up with a social robot that partakes in interaction with the elderly to combat loneliness. This robot will use emotion recognition technology in order to find out how an elderly person is feeling and with such information will find a way to communicate with the person in order to comfort them.

Objectives

• Define a concept of a robot e.g. what features it needs to give the appropriate reaction, how it acts
• Analyze the ways in which the robot can communicate with the elderly be it verbal or non-verbal communication
• Provide scenarios in which our robot would be needed and the actions the robot needs to take
• Gather information based on these scenarios and responses to these scenarios via survey and interview

Subject

Our project is about elderly care robots that use emotion recognition technology to give appropriate feedback to the elderly person. We shall design a robot that uses emotion recognition to optimize its response towards its user. Our goal is to improve the social interface of robots interacting with lonely elders by using emotion recognition.

Problem Statement

Firstly, we are going to look at the different emotion recognition technologies and figure out which technology is the most suitable for our design. Secondly, we need to know how the robot should respond to different emotions, in different situations.

Approach

Collect papers and theory with which to make the reactions to expressions

Validate our problem statement with scientific papers

Make fitting reactions to certain (measurable) expressions

User test:

 Find participants
 Practice test
 Do interview

Milestones

-Complete the software that we want to use for facial recognition.
-Make a system that will utilize the facial recognition and find answers for that.
-Survey/Interview lonely elderly people.
-Formulate all the data aggregated to form a conclusion.
-Tweak our system so it is better suited to the results of the conclusion.

Deliverables

Software that uses neural network for emotion recognition and provides feedback based on the such emotions

Analysis of results provided by surveying/interviewing the elderly on their thoughts on such robots and the feedback these robots could provide

Potential feedback that a social robot could give too the elderly that are suffering from loneliness

Planning

Week 1

Name	Total Hours	Tasks
Aristide Arnulf	6	Lecture(2), Meeting(4)
Floren van Barlingen	6	Lecture(2), Meeting(4)
Robin Chen	6	Lecture(2), Meeting(4)
Merel Eikens	6	Lecture(2), Meeting(4)
Dylan Harmsen	6	Lecture(2), Meeting(4)

Week 2

Name	Total Hours	Tasks
Aristide Arnulf	12	Meeting(8), Finding and reading articles (4)
Floren van Barlingen	15	Meeting(8), Finding and reading articles (4), Concepting (3)
Robin Chen	14	Meeting(8), Reading and Summarizing articles(4), Ideating (2)
Merel Eikens	15	Meeting(8), Finding and reading articles (4), Concepting (3)
Dylan Harmsen	15	Meeting(8), Finding and reading articles (5), Summarizing the articles (2)

Week 3

Name	Total Hours	Tasks
Aristide Arnulf	14	Meeting(8), research into facial recognition software (6)
Floren van Barlingen	14	Meeting(8), research into feedback (6)
Robin Chen	14	Meeting(8), research into emotion detection technologies (6)
Merel Eikens	14	Meeting(8), research into feedback (6)
Dylan Harmsen	14	Meeting(8), research into emotion detection technologies (6)

Week 4 (carnaval vacation)

Name	Total Hours	Tasks
Aristide Arnulf	8	Research (5), Ideating (3)
Floren van Barlingen	4	Research into scenarios (4)
Robin Chen	4	res (4)
Merel Eikens	4	res (4)
Dylan Harmsen	4	res (4)

Week 5

Name	Total Hours	Tasks
Aristide Arnulf	20	Meeting(10), research into scenarios (6), presentation (4)
Floren van Barlingen	20	Meeting(10), research into scenarios (6), presentation (4)
Robin Chen	20	Meeting(10), research into scenarios (6), presentation (4)
Merel Eikens	20	Meeting(10), research into scenarios (6), presentation (4)
Dylan Harmsen	20	Meeting(10), research into scenarios (6), presentation (4)

Literature

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