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How to build a Social Computer SS2020

News

February 12th: The seminar information is published in LSF

February 5th: This years seminar “How to build a Social Computer?” will start April 7th 2020! The time slot for the seminar will be Tuesday 14:15 to 15:45. The location is DFKI (D3 2), room Reuse (Main building -2.17).

Background

Computers, mobile phones, and wearables are part of our daily lives. Its user interfaces are designed to interact with facts, e.g. health parameters, documents, etc. – which is sufficient for some applications. But what if a computer system would understand users like human do and adapt to the individual social situation in order to establish a social human-like interaction? Such concepts are highly relevant to social training systems, e.g. virtual job interview training and work-life-balance systems. This interdisciplinary seminar in Psychology and Artificial Intelligence investigates the question „How to make computers social?“. What is social? What concepts, theories help to define being social? How do humans socially communicate? How can this be transferred into a computer model? What is technically feasible? How can this be exploited for social training systems? Relevant concepts and theories will be presented, discussed, and transferred into computer models. Three prototypical interactive social computer applications will be created as proof of concept. Students of Psychology and Computer Science will work together designing, discussing, implementing, and creating an evaluation plan for each application.

Goal

In the seminar mixed student teams (computer science and psychology) will work on projects to design, implement and evaluate an affective application. There should be a lively exchange between the two disciplines to in order to create a well thought-out system.

Organisational information

 

General

The time slot for the seminar will be Tuesday 14:15 to 15:45. The location is DFKI (D3 2), room Reuse (Main building -2.17).

Participation

In total, maximal 18 students can participate in the seminar. 9 psychology students and 9 computer science students. Psychology students have the usual process for getting into seminars by registering in LSF. Computer science students that want to participate are supposed to come to the kick-off meeting. If the interest if higher than the capacity, the lot has to decide. Students that successfully passed the Social Computing Lecture in WS19/20 will have priority. 

Students of psychology obtain 4 ECTS for attending the seminar. 

Students of computer science obtain 7 ECTS for attending the seminar. As usual for computer science, they will be graded. The grading includes: presentation, participation in discussions, implementation and the written report. 

Stucture

Besides the kickoff meeting, we will have three plenary meetings (all participants, 90min) in which the seminar groups are presenting theirs projects. Between the plenary meetings the students groups are organizing themselves. Individual group meetings (each group, 30min) will be provided. Individual group meetings are meetings of the whole project team with the seminar leaders. We will discuss your ideas, your plans for the presentations, recap presentations and localize problem solutions. The individual group meetings will be during the usual time slot on Tue between 14:15 and 15:45. 

Schedule

Date Type of meeting Content
April 7th Plenary Meeting  Kickoff
tba Individual group meeting 1  One week before plenary meeting 1 we will discuss your planned presentation. Please hand in the slides that you want to present by Sunday. We want to give you the opportunity to get feedback.
tba Plenary meeting 1 1. Presentation: Ideas (Theoretical background, Project idea, Project planning)
tba Individual group meeting 2 One week after plenary meeting 1 we will discuss how you implement the results of the feedback and discussions from plenary meeting 1.
tba Individual group meeting 3 One week before plenary meeting 2 we will discuss your planned presentation. Please hand in the slides that you want to present by Sunday. We want to give you the opportunity to get feedback.
tba Plenary meeting 2 2. Presentation: Progress and Discussion 
tba Individual group meeting 4 One week after plenary meeting 2 we will discuss how you implement the results of the feedback and discussions from plenary meeting 2.
tba Individual group meeting 5 One week before plenary meeting 3 we will discuss your planned presentation. Please hand in the slides that you want to present by Sunday. We want to give you the opportunity to get feedback.
tba Plenary meeting 3 3. Presentation: Final Application (Theoretical background, Implementation, Study, Take home message)

 

Projects

tba

Material

Slides/Media

How to give a great research talk (Youtube, Simon Peyton Jones, Microsoft Research Cambridge)

Literature

Gebhard, P. (2005). ALMA a layered model of affect In Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems (pp. 29-36). ACM.

Gebhard, P., Schneeberger, T., André, E., Baur, T., Damian, I., Mehlmann, G., König C. & Langer, M. (2018). Serious Games for Training Social Skills in Job Interviews IEEE Transactions on Games.

Gebhard, P., Schneeberger, T., Baur, T., & André, E. (2018, July). MARSSI Model of Appraisal, Regulation, and Social Signal Interpretation. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 497-506). International Foundation for Autonomous Agents and Multiagent Systems.

Software

VisualSceneMaker, an authoring tool for Virtual Characters.

ALMA, a computational model of affect that implements the appraisal theory of emotions from the psychologists Ortona, Clore, and Collins.

OpenSSI, a framework for analysing social signals in realtime.

Contact

Dr. Patrick Gebhard (Computer Science, gebhard(at)dfki.de)

Prof. Dr. Cornelius König(Psychology, ckoenig(at)mx.uni-saarland.de)

M.Sc. Psych. Tanja Schneeberger (Computational Psychology, tanja.schneeberger(at)dfki.de)

Dr. Markus Langer (Psychology, markus.langer(at)uni-saarland.de)