TY - JOUR AU - Diederich, Sarah AU - Iseke, Anja AU - Pull, Kerstin AU - Schneider, Martin ID - 49446 JF - The International Journal of Human Resource Management KW - Management of Technology and Innovation KW - Organizational Behavior and Human Resource Management KW - Strategy and Management KW - Business and International Management KW - Industrial relations SN - 0958-5192 TI - Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level ER - TY - CHAP AB - Today, it is possible to collect and connect large amounts of digital data from various sources and life domains. This chapter examines the potential and the risks of this development from an interdisciplinary perspective. It defines the ‘global digital twin’ of a human being as the sum of all digitally stored information and predictive knowledge about a person. It points out that, compared to the digital twin of a machine, the human global digital twin is far more complex because it comprises the genetic code and the biographic code of a person. The genetic code contains not only a simple ‘construction plan’ but also hereditary information, in a form that is difficult to read. The biographic code contains all other information that can be assembled about a person, which is obtained via data from cameras, microphones, or other sensors, as well as general personal information. When the growing wealth of information concerning the genetic code and the biographical code is properly utilised, insights from biology and the behavioural sciences may be used to predict personal events such as health problems, job resignations, or even crimes. Because our own interests and those of private firms are partly in conflict over the use of this powerful knowledge, it is still unclear whether the global digital twins of humans will become a liberating or disciplining force for citizens. On the one hand, human beings are not machines: They are aware of their digital twin and therefore are able to influence it throughout their lives. Because of their free will, human beings are in general difficult to predict. Dystopias of full control over individual behaviour are therefore unlikely to materialise. On the other hand, private firms are beginning to take advantage of the available digital twins of humans by monopolising data access and by commercialising predictive knowledge. This is problematic because, unlike machines, human beings cannot only benefit from but also suffer due to their digital twins as they attempt to shape their own lives. We illustrate these issues with some examples and arrive at two conclusions: It is in the public interest for people to be granted more property rights over their personal global digital twins, and publicly funded research needs to become more interdisciplinary, much like private firms that have already begun to perform interdisciplinary research. AU - Hellweg, Talea Davina AU - Schneider, Martin AU - Rückert, Ulrich AU - Harteis, Christian AU - Pilz, Sarah ID - 49469 T2 - The Digital Twin of Human TI - Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives ER - TY - JOUR AU - Kornowicz, Jaroslaw AU - Thommes, Kirsten ID - 47953 JF - Artificial Intelligence in HCI SN - 0302-9743 TI - Aggregating Human Domain Knowledge for Feature Ranking ER - TY - CONF AU - Gutt, Jana Kim AU - Mehic, Miro AU - Thommes, Kirsten ID - 47972 T2 - Academy of Management Proceedings TI - Oh my Goodness: Investigating the Goodness of Performance Appraisal Formats Between and Within Teams ER - TY - JOUR AU - Hoppe, Julia Amelie AU - Tuisku, Outi AU - Johansson-Pajala, Rose-Marie AU - Pekkarinen, Satu AU - Hennala, Lea AU - Gustafsson, Christine AU - Melkas, Helinä AU - Thommes, Kirsten ID - 44639 JF - Computers in Human Behavior Reports KW - Artificial Intelligence KW - Cognitive Neuroscience KW - Computer Science Applications KW - Human-Computer Interaction KW - Applied Psychology KW - Neuroscience (miscellaneous) SN - 2451-9588 TI - When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty VL - 9 ER - TY - CONF AU - Schütze, Christian AU - Lammert, Olesja AU - Richter, Birte AU - Thommes, Kirsten AU - Wrede, Britta ID - 48280 T2 - Artificial Intelligence in HCI TI - Emotional Debiasing Explanations for Decisions in HCI ER - TY - CONF AU - Küpper, K. AU - Garnefeld, I. AU - Steinhoff, Lena ID - 50978 TI - Evaluation of product testing programs as an effective marketing tool - Negative and positive effects of rejections in product testing programs ER - TY - CONF AU - Alberternst, B. AU - Giesler, M. AU - Steinhoff, Lena ID - 50975 TI - The Consumerization of Care: How Capitalism Is Co-Opting Solidarity ER - TY - CONF AU - Ozuna, Edna AU - Steinhoff, Lena ID - 50979 TI - Customer Misbehavior in the Peer-to-Peer Sharing Economy: The Mixed Role of Face-to-Face Interactions ER - TY - CONF AU - Ozuna, Edna AU - Steinhoff, Lena ID - 50977 TI - Face-to-Face Interactions in Peer-to-Peer Sharing Economy Services: An Effective Barrier to Customer Misbehavior? ER -