master project market fs 2020 - uzh ifia7f9f590-4216-4d19-84dc-51e91f9aa3b3/... · 3d kinematic...

Master’s Project Market HS 2020 · Nathan Labhart

Master’s Project Market · HS 2020

Nathan LabhartAcademic Coordinator

2020-10-07 �1

1. Jürgen Bernard2. Pascal Forny, Alexandra Diehl3. Alexandra Diehl4. Dzmitry Katsiuba5. Ingo Scholtes, Vincenzo Perri, Luka Petrovic6. Alexander Eiselmayer7. Chat Wacharamanotham, Alireza Darvishy

Rules: The Master’s Project…

… is a group project: at least 2 members needed.→ Chance of denial for individual projects: 99%

…can only be started after all members have successfully completed their Master’s Basic Module (only for Major).→ Best time: During semester break; max. 1 year to complete.

…must be done with an IfI professor.… yields 18 ECTS Credits.

�2Master’s Project Market HS 2020 · Nathan Labhart2020-10-07

Fact sheets: ifi.uzh.ch/studies ▶ Master’s study programs ▶ While studying

http://ifi.uzh.ch/studies

Master’s Project: Procedure

1. Find a project (e.g., here at the Master’s Project Market, on the IfI website for MSc https://www.ifi.uzh.ch/en/studies/msc-info.html, in OLAT http://t.uzh.ch/yi, on theIfI research groups’ individual websites, …)

2. Build groups (find peers here, in OLAT, …)

3. Meet with supervisor and submit the application form.

4. Start.�3Master’s Project Market HS 2020 · Nathan Labhart2020-10-07


https://www.ifi.uzh.ch/en/studies/msc-info.html

http://t.uzh.ch/yi


Master’s Project presentations:

1. Jürgen Bernard: Visual Analysis of Large and Unknown Event Sequence Datasets

2. Pascal Forny: Explainable AI for Windowing Functions in Medical Imaging 3. Alexandra Diehl: Citizen-driven Visual Design of Weather Features based on

Cognitive Science 4. Dzmitry Katsiuba: Sinking in masses of online reviews: how can IT support

online customer feedback management (CFM)? 5. Ingo Scholtes, Vincenzo Perri, Luka Petrovic: A Web-based

Experimentation Platform for Human-AI Collaboration 6. Alexander Eiselmayer: Argus implementation 7. Chat Wacharamanotham, Alireza Darvishy: Mobile application for collecting

pedestrian accessibility barriers

Nathan Labhart

Jürgen Bernard: Visual Analysis of Large and Unknown Event Sequence Datasets

Jürgen BernardInteractive Visual Data Analysis Group

Jürgen Bernard 2Visual Analysis of Large and Unknown Event Sequence Datasets

Jürgen BernardAssistant Professor at University of Zurich

Department of Informatics

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Jürgen BernardAssistant Professor at

University of ZurichDepartment of Informatics

Pascal Forny (Alexandra Diehl): Explainable AI for Windowing Functions in Medical Imaging

ExplainableAIforWindowingFunctionsinMedicalImaging

Supervision: Prof.Dr.RenatoPajarolaMr.PascalForny (MainContact)Dr.AlexandraDiehl

Contact: [email protected]

www.ifi.uzh.ch/en/vmml/teaching/student-projects.html

Thresholds

MRIInput

TrainingSet

WindowFunctionisadjustedbythephysicianontheflytooptimize

visibilityoftumors/lesions/waterorwhateversheisinterestedin.

AI-basedsystem

Alexandra Diehl: Citizen-driven Visual Design of Weather Features based on Cognitive Science

Citizen-drivenVisualDesignofWeatherFeaturesbasedonCognitiveScience

Supervision: Prof.Dr.RenatoPajarola (IFI)Dr.AlexandraDiehl(IFI)Dr.IanRuginski (GIVA- UZH)

Contact: [email protected]

www.ifi.uzh.ch/en/vmml/teaching/student-projects.html

→ VisualDesign→ UncertaintyCommunication→ Crowd-sourcingEmpiricalstudy?

Google MeteoSwiss

Dzmitry Katsiuba: Sinking in masses of online reviews: how can IT support online customer feedback management (CFM)?

Institut für Informatik

Sinking in masses of online reviews: how can IT support online customer feedback management (CFM)?

Short Intro

Master's Project Market07.10.2020


1

The spread of the Internet has an influence on our communication methods and our consumer behaviour. Due to the increasing number of online feedbacks and the willingness to reply to these reviews and evaluate their text content, companies are becoming more dependent on IT support.re:spondelligent GmbH is a company that offers businesses a solution to leverage their online customer feedback. The project should help to improve the usability of re:spondelligent app and increase the efficiency. Different scenarios should be tested to find out the best working solution for supporting the process of responding to the online customer feedbacks (reviews).

Start: October 2020

Abstract


2

re:spondelligent GmbH is a company that offers businesses a solution to leverage their online customer feedback:Services:• Collection and evaluation of reviews/feedbacks• Support in responding to reviews

re:spondelligent


3

The goal of this project is to find out the best working solution for supporting the process of responding to the online customer feedbacks (reviews). Your task will be:• to gain insights in the processes of responding to the online customer

feedback (reviews).• to analyse the needs and the challenges of the CFM process• to develop and to test different working scenarios • to adapt the existing user interface based on the best scenario

developed (using HTML, CSS, Bootstrap)• to test the developed solutionThis master project gives you the opportunity to deepen your knowledge in the application of IT and artificial intelligence within a real-world innovation project and learn about experimental techniques in IS research.

Goal of the project


Requirements

4

For this master project, we are looking for:• Motivated students with an interest for artificial intelligence, restaurant

and hotel business, review platforms (Booking.com, TripAdvisor etc.) and customer relationship management.

• The student should also be interested in working in a team and being open to innovative ideas.

• Knowledge or experience concerning HCI and/or CSCW would be very helpful

• German knowledge is very welcomed

Ingo Scholtes, Vincenzo Perri, Luka Petrovic: A Web-based Experimentation Platform for Human-AI Collaboration

Data Analytics Group

Development of an Experimental Platform for Cooperative Human-AI Decision-Making

• human experts and AI technologies have different strengths• can we combine those strengths in mixed teams of human

experts and AI-driven software agents?

• group-decision making strategies (consensus, majority vote, delphi, …)

• group structures (flat, hierarchical, subgroups, …)

• interaction mechanisms (text chat, explanations, …)• transparency (AI agents/expertise marked or not, …)

• need an experimentation platform to investigate cooperative human-AI decision-making mechanisms

• proof-of-concept scenario: image classification10/7/20 Master project presentation, Prof. Ingo Scholtes et al. Page 1

Exemplary Platform Design

Alexander Eiselmayer: Argus implementation

Master Project: ArgusRe-creating a web application for interactive a priori power analysis.

Power Analysis?

• Statistical method

• Used for sample size estimation for controlled experiments

• Important during the design of experiments

• Complex

Web Application

• R

• Shiny

• Javascript

• D3

The Project

• Understand a priori power analysis and how the widgets in Argus work.

• Learn the technologies used in the application.

• Inspect the current code base.

• Implement Argus as production-ready open-source project.

Ressources

0 4 6 8 10 12 143

2 4 6 8 10 12 140

-14 -12 -10 -8 -6 -4 -2 0

0 4 6 8 10 12 142

2 3 4 5 6 7 8 9 101

10 15 20 25 30 40 45 5036 0.00.10.20.30.40.50.60.70.80.91.0

Power history

Delete

6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 480.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0Power of selected hypothesis

Replications: 1

Replications: 1

2 1 0 1 2 3 4 5 6 7 8 9 10

One_Column is faster Two_Column is faster

Screen is faster Paper is faster

10

15

20

25

30

35

40

45

50 Reading Time (Minutes)

One_Column Two_ColumnScreen Paper

Two_ColumnOne_Column

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Available at: https://argus.shinyapps.io/project-argus/

Paper: https://arxiv.org/abs/2009.07564

Check zpac.ch/projects for the application package.

Apply via e-mail: [email protected]

• Availability: 2–3 Students. Work packages will be scaled accordingly.

• Duration: 6 months• COVID: remote and in-person

possible • Supervisor: Alexander

Eiselmayer, Prof. Chat Wacharamanotham

https://argus.shinyapps.io/project-argus/

https://arxiv.org/abs/2009.07564

http://zpac.ch/projects

Interested in a project? Talk to representatives and form groups!

http://t.uzh.ch/yi

More projects are available from the research groups’ individual websites.Good luck with your Master’s Project!

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Master’s Project Market HS 2020 · Nathan Labhart2020-10-07 �12

http://t.uzh.ch/yi


master project market fs 2020 - uzh ifia7f9f590-4216-4d19-84dc-51e91f9aa3b3/... · 3d kinematic...

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