PRE2020 3 Group2
Robot Desk Companion
Group Members
Name | Student ID | Department | Email address |
---|---|---|---|
Okke Rikmenspoel | 1376489 | Psychology and Technology | o.m.rikmenspoel@student.tue.nl |
Christian Janssen | 1458167 | Psychology and Technology | c.h.f.janssen@student.tue.nl |
Richard van Loon | 1238071 | Computer Science and Engineering | r.p.a.v.loon@student.tue.nl |
Ahmad Alsarakbi | 1285874 | Computer Science and Engineering | a.alsarakbi@student.tue.nl |
Isabel Kuipers | 1297325 | Industrial Design | i.e.kuipers@student.tue.nl |
Sources
Problem statement
Due to the COVID-19 pandemic, which started in early 2020, students had to work from home for longer periods of time. Different types of health problems occurred due to the work-from-home situation.[3] Students sit in front of their screen for many hours, neglecting their health by not taking breaks or taking care of themselves. Concentration is heavily impacted as well, a phone is almost always in sight and nobody is telling them not to use it. Mobile phones can be distracting depending on what you do with them. Studies have shown that texting or social media use is highly distracting when studying but listening to music does not have to.[4]
Students do not need a nanny bot, however, a robot which guides them in the right direction would be very beneficial (sources). This robot will be placed on the desk where the student works. The robot should not be too distracting (1). It should give friendly health-related reminders (2). And It should guide and motivate studying (3).
Objectives
- Not be too distracting.
- Support health during studying .
- Guide studying.
USE Analysis
User analysis:
The main users of this robot will be students, and people with concentration problems. But mostly students with concentration problems. This robot can help people with getting work or study done, by making sure the users follow their schedule. The goal is to help the user make a schedule, because without a schedule the robot will not work, after that the robot will help the user to make sure they actually follow the schedule. A secondary effect of the robot is that the user will stay healthier by making sure the user gets enough movement, enough breaks and makes sure the user will not get too distracted by the phone.
Society analysis:
Schools and Universities will profit from this product because the students that need help with studying and have concentration issues can be assigned with such a robot to make sure the school needs to do less work to make sure the students do not get concentration issues, and if they have them, to solve it. Also parents will profit from this because they will not have to worry about their kids not concentrating or being on their phone constantly because the robot makes sure their user studies and otherwise tries to get the user to do the work. This is also the case when someone works for a business and has trouble working at home or at office. The product can help them work and take breaks when needed.
Enterprise analysis:
Businesses will also have profit from this product. Students are being helped to study, which means they on average will get higher grades which means more knowledge. This knowledge will help with work. Also when working the users will be helped and be more time effective. This will help the overall economy grow. Because of corona more and more people are working at home and it has proven to be effective. This product will make working at home even more effective.
State-of-the-art
All of our research discussed min 25 papers
Isabel Human and robot interaction + already existing designs
Persuasive technologies
Planning
Approach and milestones
- how will we solve the problem?
- milestones per week
Week 1 Define functions needed Research functions and design aspects Week 2 Questionnaire for user input Sketch proposed design Week 3 Analyse questionnaire Sketch detailed design Create base simulation robot Week 4 Finalize simulation Start prototyping Week 5
Week 6 Finish prototype Week 7 Final video
Week 8 Final wiki
Planning table
-who does what in which week etc
-when is what done
Planning table
Week | Okke Rikmenspoel | Christian Janssen | Richard van Loon | Ahmad Alsarakbi | Isabel Kuipers |
---|---|---|---|---|---|
Week1 | robot description and research function | looking into simulation tools | looking into simulation tools | compile research and use cases | spread the questionnaire and look into the scenario |
Week2 | |||||
Week3 | |||||
Week4 | |||||
Week5 | |||||
Week6 | |||||
Week7 | |||||
Week8 |
Worklog
Week 1
Name | Total [h] | Break-down |
---|---|---|
Okke Rikmenspoel | 4.5 | Meetings (3h), Research(1.5h) |
Christian Janssen | 5 | Meetings (3h), Research(2h) |
Richard van Loon | 5 | Meetings (3h), Research (2h) |
Ahmad Alsarakbi | 5 | Meetings (3h), Research(2h) |
Isabel Kuipers |
Week 2
Name | Total [h] | Break-down |
---|---|---|
Okke Rikmenspoel | 4.5 | Meetings(2.5h), Research(2h) |
Christian Janssen | 6.5 | Meetings (4h), Research(2h), Wiki(0.5h) |
Richard van Loon | 5 | Meetings (4h), Research(0.5h), Planning(0.5h) |
Ahmad Alsarakbi | 6 | Meetings (4h), Research(1h), Questionnaire(1h) |
Isabel Kuipers | 7 | Research(1,5h), Questionnaire (2,5h), Sketch (1h), Wiki (2h). Meetings (4h) |
Week 3
Name | Total [h] | Break-down |
---|---|---|
Okke Rikmenspoel | ||
Christian Janssen | ||
Richard van Loon | ||
Ahmad Alsarakbi | ||
Isabel Kuipers |
Deliverables
- wiki page
- simulated robot
- prototype (if possible)
- presentation
After the plan
- Researched functions chosen
- Questionnaire + results
- Design sketch + all the aspects explained
- Simulation explained
- Prototype shown and explained
References
- ↑ How to Get Your Brain to Focus
- ↑ Mobile phone distraction while studying
- ↑ Gualano, M. R., Lo Moro, G., Voglino, G., Bert, F., & Siliquini, R. (2020). Effects of COVID-19 lockdown on mental health and sleep disturbances in Italy. International Journal of Environmental Research and Public Health, 17(13), 1–13.
- ↑ David, P., Kim, J. H., Brickman, J. S., Ran, W., & Curtis, C. M. (2015). Mobile phone distraction while studying. New Media and Society, 17(10), 1661–1679.