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Human Computation and Analytics
(Winter Term 2017/18)

Table of Contents

1. Content
2. Organizational Matters
3. Registration
4. Exercise
5. Forum
6. Exam
7. Schedule
8. Literature
9. Software and Examples
10. Supplementary Material

News:

1. Content

This module Human Computation and Analytics covers those aspects of Data Science, in which humans either produce the data, process and analyze it with the help of algorithms, or in which data is presented to humans by a computer system.

From the area of Human-Computer Interaction (HCI), the basics of human perception and cognition, as well as some approaches for the design of usable systems are introduced. The following section from Visual Analytics (VA) covers the visual analysis of data by the human user, as well as some visualization techniques.

The lecture part on Human Computation (HC) gives an introduction to distributed data collection by humans (crowdsourcing) and the processing of data by humans, for example in the form of online games (HC).

2. Organizational Matters

Modul:

This lecture is a port of the module "Human Computation and Analytics" only for students enrolled in Data Science Master Degree.

Time: 2+2 hours weekly

Instructors: Prof. Dr. Andreas Butz and Prof. Dr. François Bry
Exercise: Yingding Wang

Time and Location:

Lecture: Wednesday, 10:00 to 12:00 c.t., Room C 022 (Geschw.-Scholl-Pl 1 (C))

Start: Oct.18 2017 - Feb.07 2018

Exercise: Monday, 10:00 to 12:00 c.t., Room 042 (Leopoldstr. 13A)

Start: Oct.23 2017 - Feb.05 2018

The course requires attendees to bring their laptops. The lectures are supported by the digital backchannel Backstage.

Open for:

Only students in master degree programs Data Science.

Examination:

see 6. Exam.

3. Registration

4. Exercise

The lecture is accompanied by weekly exercise sessions, in which reading assignments are intermixed with „Lab” meetings, in which students develop their own concepts based on what they learned in the lecture and exercises so far.

Reading Assignments

Students have to finish the reading of 1-2 scientific articles before the exercise reading assignments session. The content of the reading assignements will be discussed with instructor during the exercise sessions.

Labs

Students will build teams consisting of 3-5 members. Each of the team should discuss the tasks for each lab before the exercise lab session. Each team will give a presentation of their solutions for 10 minutes in front of the whole audience. The proposed solutions will be discussed during the lab sessions with all the other participants.

The list of reading assignments and the tasks of Lab sessions will be annouced a week ealier, before each of the exercise sessions.

5. Forum

See Forum zu Hauptstudiums-Veranstaltungen der Lehr- und Forschungseinheit PMS.

6. Exam

The exam of module "Human Computation and Analytics" consists of

• A lab report
• Oral presentation and written documentation in the second semester

7. Schedule

7.1 Lecture Schedule

Date	Topic	Slides	Podcasts
Human Computation
18.10.2017	1. Crowdsourcing and Human Computation Systems	available in Backstage
25.10.2017	2. Games With A Purpose (GWAPs)	available in Backstage
01.11.2017	Holiday (no lectures)
08.11.2017	3. Aggregating Human Inputs: Link Prediction	available in Backstage
15.11.2017	4. Aggregating Human Inputs: PageRank	available in Backstage
22.11.2017	5. Aggregating Human Inputs: Prediction Markets	available in Backstage
29.11.2017	6. Social and Ethical Aspects of Human Computation	available in Backstage
06.12.2017	7. Participation to Human Computation Systems	available in Backstage
Human-Computer Interaction and Visual Analytics
13.12.2017	8. Integrating the human into HC systems	Slides	Podcast
19.12.2017 10:00-12:00 c.t.	X. Christmas Lecture (surprise), Room S 004 (Schellingstr. 3 (S))
20.12.2017	9. Human Perception and Cognition	Slides	Podcast
27.12.2017 - 06.01.2018	Holiday (no lectures)
10.1.2018	10. Types, Tasks, Marks and Channels	Slides (v2)	Podcast
17.1.2018	11. Visualization Idioms I	Slides	Podcast
24.1.2018	12. Visualization Idioms II	Slides	Podcast
31.1.2018	13. Visualization Idioms III	Slides	Podcast
07.2.2018	14. Usability and Evaluation	Slides	Podcast
11.2.2018	end of semester (no lectures)

7.2 Exercise Schedule

Date	Topic	Assignment
23.10.2017	Reading Assignment 1: History & Terminology	Access of Reading Assignments Lab Topics   Lab1 Tasks available in Backstage 2	RA1.zip
30.10.2017	Reading Assignment 2: Games With A Purpose (GWAPs)	available in Backstage 2	RA2.zip
06.11.2017	Lab 1: Functionalities of a novel HC system as seen by a user of the system	Lab1-Team-FoodForGood (Health Advisor) Lab1-Team-Mealanium (Social Life) Lab1-Team-QuattroFormaggi (Web Search)
13.11.2017	Reading Assignment 3: Link Prediction	available in Backstage 2	RA3.zip
20.11.2017	Reading Assignment 4: PageRank	available in Backstage 2	RA4.zip
27.11.2017	Reading Assignment 5: Prediction Markets	available in Backstage 2	RA05.zip RA05-answers.pdf
04.12.2017	Reading Assignment 6: Social and Ethical Aspects of Human Computation	available in Backstage 2	RA06.zip
11.12.2017	Reading Assignment 7: Participation to Human Computation Systems	available in Backstage 2	RA07.zip
18.12.2017	Reading Assignment 8: Integrating the human into HC systems	available in Backstage 2	RA08.zip
25.12.2016 - 08.01.2017	no exercise sessions
15.01.2018	Lab 2: System Design and UI Elements required by the novel HC system	Lab2 Tasks Lab2-Team-FoodForGood (Health Advisor) Lab2-Team-Mealanium (Social Life) Lab2-Team-QuattroFormaggi (Web Search)
22.1.2018	Reading Assignment 9: "HUMAN ERROR? NO, BAD DESIGN" Reading Assignment 10: Data Type Taxonomy for Information Visualizations	available in Backstage 2	RA9.zip   RA10.zip RA09-answers.pdf   RA10-answers.pdf
29.01.2018	Lab 3: Visual Analytics and System Evaluation	Lab3 Tasks Lab3-Team-FoodForGood (Health Advisor) Lab3-Team-Mealanium (Social Life) Lab3-Team-QuattroFormaggi (Web Search)	Promotion Video (Team FoodForGood) Promotion Video (Team Mealanium) Promotion Poster (Team QuattroFormaggi)
05.02.2018	no exercise session (due to mandatory "Focused Tutorial")
07.02.2018	Deadline for the final team lab report (no extension)
11.02.2018	end of semester

8. Literature

• Andreas Butz: Mensch-Maschine-Interaktion
  (2014), Textbook, an ebook is with LMU campus login accessable.
• Pietro Michelucci: Handbook of Human Computation
  (2013), Textbook
• Tamara Munzner: Visualization Analysis and Design: Principles, Techniques, and Practice
  (2014), Textbook
• Don Norman: The Design of Everyday Things: Revised and Expanded Edition
  (2013), Textbook
• Robert Spence: Information Visualization: An Introduction
  (2014), Textbook

9. Software and Examples

10. Supplementary Materials

Slide Templates

• Presentation template: LaTeX Beamer Slides
• Presentation template theme: LaTeX Beamer Theme

Final Report Template

• A LaTeX template for the final report is available here.
• A PDF preview of the Latex template is available here.

General Report Template

• General report template: Springer - Lecture Notes in Computer Science (LNCS)
• General report template documentation: Springer - Lecture Notes in Computer Science (LNCS)