PhD Winterschool on Humans and Technology
The 4TU network is planning for the 5th iteration of a Winterschool on Humans &Technology, in collaboration with SIKS.
It will take place from November 1st - 5th 2021
You can expect 5 days of (hopefully in person*):
- lectures from experts in the field
- doctoral consulting sessions
- collaborative working sessions
With this Winterschool, we would like to connect the new generation of researchers on Humans and Technology to the already established network in the Netherlands. We would like to provide an opportunity to learn from each other by sharing research questions and experiences. We encourage the creation of white-papers.
*we are aiming at a physical Winterschool, Located in Delft in the Netherlands
Costs: free (including food and accommodation), no travel funding provided.
Registration: Closed
Programme committee:
Assistant Prof. Catharine Oertel, Assistant Prof. Frank Broz, Prof. Dirk Heylen, Prof. Mark Neerincx
Local organisation:
Assistant Prof. Catharine Oertel, Prof. Dirk Heylen, Prof. Mark Neerincx, Anita Hoogmoed, Anne van de Maat
Monday Day 1: Human-AI co-learning
Organizers: Assistant Prof. Catharine Oertel (TU Delft)
Keynote speaker: Prof. Marcus Specht
Title: Enhancing AI for education with physical interaction and robot
Day 1 is concerned with how humans and AI can co-learn.
PROGRAMME SCHEDULE: Human-Robot teams | |
12:00 | Arriving and lunch |
13:00 | Welcome and Introductory remarks |
13:30 | Keynote/Invited Speaker: Learning Analytics |
14:30 | PhD student poster presentation with Coffee (no printed posters needed) |
16:00 | Tutorial Furhat: Interactive demo on Robotics |
17:30 | Tutorial Associate Prof. Joost Broekens on the Interactive Robotics platforms (to design and prototype human-robot interactions. (snacks will be served) |
19:00 | Mingling and dinner |
Tuesday Day 2: Human-AI co-evolution
Organizers: Prof. Mark Neerincx (TU Delft) and Prof. Wijnand IJsselsteijn (TU Eindhoven)
More and more, virtual agents and social robots will enter our working and leisure environments with increasing adaptation and learning capabilities. This results in an co-evolving human-AI system with, implicit and explicit, mutual adaptation and learning processes. This day will center on the design and evaluation of these continuous processes, aiming at advanced performance and well-being. Insights from evolutionary processes such as mutualistic symbiosis, habituation and human-animal collaboration will be presented and discussed, at the levels of hybrid teams and communities. The group work will make these concepts concrete with the design of a co-evolving social robot (“a new breed”).
PROGRAMME SCHEDULE: Human-AI Co-Evolution | |
9:00 | Introduction theme and day (Prof. Mark Neerincx) |
9:15 | Presentation Prof. Wijnand IJsselsteijn: Human and Machine Intelligence: Deep Learning versus Deep Understanding |
10:00 | Coffee and discussion |
10:30 | Presentation Assistant Prof. Janet Yi-Ching Huang: Human-AI co-learning and co-evolution in complex creative tasks |
11:15 | Presentation Associate Prof. Mathias Funk: Tools for data-driven (evolving) creation of novel members of things ecologies |
12:00 | Lunch |
13:15 | Presentation Prof. Mark Neerincx: The Growth of Hybrid Collective Intelligence |
14:00 | Keynote Prof. Paul Dumouchel on Human-AI Co-evolution |
14:45 | Coffee break |
15:00 | Panel discussion with all presenters (a.o.t. as input of group work) |
15:30 17:00 | Group work with pitches at end Drinks and Dinner |
Wednesday Day 3:
Human-Robot teams: between performance and creativity; a social-signal processing perspective
Organizers: Assistant Prof. Catharine Oertel (TU Delft), Assistant Prof. Frank Broz (TU Delft), Assistant Prof. Senthil Chandrasegaran (TU Delft)
Day 3 is concerned with how humans and robots can work together in teams.
- What kind of social intelligence do robots need to possess to collaboratively work together with humans?
- Which are scenarios in which working with robots can make us perform better?
- Which are scenarios where robots can give us more space to be creative?
Keynote Prof. Nale Lehmann-Willenbrock:
Teams and leadership in action: insights from interaction analysis
Understanding successful teamwork and effective leadership requires a closer look at the interaction patterns in teams and between leaders and followers. This talk will highlight the intricate social dynamics that help explain team effectiveness as well as successful leadership influence in teams and dyads. The majority of the empirical insights highlighted in this talk will focus on meetings as a core interactional venue in organizations where relationships are built and maintained, team collaboration unfolds, and leadership influence emerges and affects follower behavior and attitudes.
PROGRAMME SCHEDULE: Human-Robot teams | |
9:00 | Keynote/Invited Speaker: Prof. Nale Lehmann-Willenbrock |
10:00 | Coffee break and discussion |
10:30 | Guided group creativity facilitation: Assistant Prof. Senthil Chandrasegaran + PhD-Candidate Jesse Nijdam |
12:00 | lunch |
13:30 | Invited talk on Human-Robot teamwork: Assistant Prof. Catharine Oertel + Assistant Prof. Frank Broz |
14:30 | Group work |
15:30 | Coffee break |
16:00 | Gaze tracking tutorial by Assistant Prof. Frank Broz |
17:00 | Drinks and Dinner |
THURSDAY DAY 4: TRUST in HYBRID INTELLIGENCE
Organizers: Dr. Bernd Dudzik (TU Delft) and Associate Prof. Birna van Riemsdijk (University of Twente)
Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values. To enable such exchanges and collaboration between humans and intelligent machines, it is central that appropriate human-machine trust is established and maintained. During this day you will be familiarized with recent advances in the field of HI, with a specific focus on trust.
KEYNOTE: Do I believe that you believe that I am trustworthy? (Assistant Prof. Myrthe Tielman)
Trust and Trustworthiness are two terms which are very relevant when we talk about AI, and even more so in HI. Moreover, if we talk about responsible HI we quickly end up with the requirement of appropriate trust. If we wish for AI systems to understand and use these terms and concepts, it becomes crucial that we can define what they mean, and how we can observe or measure them. This in this talk, I will explore how we can study these concepts, and how they relate to each-other.
PROGRAMME SCHEDULE: Trust in Hybrid Intelligence | |
OPENING | |
09:00 | Associate Prof. Birna van Riemsdijk / PhD-Candidate Bernd Dudzik |
KEYNOTE | |
09:15 | Do I believe that you believe that I am trustworthy - Assistant Prof. Myrthe Tielman (50min + 10min discussion) |
BREAK | |
10:15 | -- |
BLOCK 1: DEVELOPING TRUSTWORTHY TECHNOLOGY | |
10:30 | Monitoring and constraining adaptive systems - PhD-Candidate Annet Onnes (15 min + 5 min discussion) |
10:50 | Fairness in Learning to Rank - PhD-Candidate Maria Heuß (15 min + 5 min discussion) |
BLOCK 2: HOW HUMANS TRUST SYSTEMS | |
11:10 | A Machine With a Human-Like Memory System - PhD-Candidate Taewoon Kim (15 min + 5 min discussion) |
11:30 | Can I Trust you? Partner selection and person perception in social interactions - PhD- Candidate Tiffany Matej Hrkalovic (15 min + 5 min discussion) |
CLOSING | |
11:55 | Associate Prof. Birna van Riemsdijk / PhD-Candidate Bernd Dudzik |
LUNCH | |
12:00 | Lunch |
13.30 | Social programme / PhD-defense Bernd Dudzik |
FRIDAY DAY 5: DIVERSITY & BIAS IN AI
Organizers: Assistant Prof. Minha Lee (TU Eindhoven) and Assistant Prof. Gijs Huisman (TU Delft)
Bias in AI comes in many forms. Voice assistants may not recognize certain accents, image recognition algorithms may mislabel people based on assumed race and gender, and embodied AI, like robots, can be non-inclusive in design, e.g., robots with "female" voices with white bodies. Thus, we think of ways to make room for greater diversity in the design and deployment of AI systems on this day, for ethics in AI should be an integral process rather than an afterthought. We will together 1) aim to understand and mitigate the effects of bias in AI and 2) outline how to promote diversity in and of future AI systems, as well as in AI research teams.
PROGRAMME SCHEDULE: Diversity & Bias in AI | |
9:00 – 9:10 | Introduction |
9:10 – 10:00 | Keynote/Invited Speaker: Cameron Taylor |
10:00 | Coffee break and discussion |
10:30 | Guided group creativity facilitation |
12:00 | lunch |
13:30 | Group work |
14:30 | Discussion & Feedback |
15:00 | Closing |
Plenary Closing/ Drinks: 15.00 - 16.00
For previous 4TU H&T winterschools see: https://www.4tu.nl/ht/en/news/!/3913/winter_school_2018/
If you have questions please send an email to: j.g.vandemaat@utwente.nl