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Group portrait










































                                Egon van den Broek                                         Ioanna Lykourentzou


          Pattern recognition                                Improving online collaborations

          One of the most technical members of the human-centred   Ioanna Lykourentzou is another Assistant Professor in the
          computing group is Assistant Professor Egon van den Broek.   group. She investigates online collaborations and develops
          He studies pattern recognition in both humans and machines.   software to improve them. ‘Because of the corona crisis, my
         ‘There is an awful lot that machines can still learn from hum -  work has suddenly become even more relevant than before’,
          ans’, he says. ‘I take the human as an example, and based on   she tells. ‘Many people have to work from home, while at the
          this, I develop mathematical models that can improve the way   same time collaborating in online teams. But how can you
          machines recognise patterns. For example, I have been looking   build the best team if there are team members you have
          at categorising colours and at recognising emotions. One of    never met in real life?’
          my favourite results is from earlier this year: we showed that
          emotions should be classified more as a continuous space   To solve this problem, she has already built an algorithm
          than as separate categories, as it is traditionally done. Our   that matches people based on their personality traits.
          results can be used in human-robot interaction where the   Lykourentzou: ‘For complex tasks, you often need people
          robot has to recognise human emotions.’            with a variety of skills: some people should have leadership
                                                             qualities; others should excel at focusing on details, while
          Van den Broek earned two PhD degrees, one in the social    others need to have good social skills. In its core, this is an
          sciences and one in electrical engineering, mathematics and   optimisation problem, which at the same time needs to
          computing science, a combination which fits perfectly in the   consider human nature. Our algorithm matches people with
          human-centred computing group. ‘I like the fact that there is    people to form the best team. We tested it with teams of
          a lot of energy in the group, that it combines a wide range of   crowd workers who had to create an advertisement for a
          interests and that it is very social. What remains a challenge in   new coffee product and it proved to work really well. With
          the field of human-computer interaction in general, and also    this approach, digital collaborations can become very creative.’
          in our group, is to work not just in a multi-disciplinary way —
          people with different backgrounds sitting next to each other —   As somebody developing tools to improve collaboration, what
          but in a truly interdisciplinary way — to integrate methods   does she think about the teamwork in her own human-centred
          from various disciplines. That is crucial if the field is to    computing group? ‘I like the diversity in the group, and the fact
          become mature.’                                    that things come about in a very human manner without an
                                                             imposed hierarchy. Sometimes, taking decisions might take a
                                                             bit longer than in more hierarchical groups, but in the end you
                                                             have a much stronger team.’

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