@inproceedings{RudianHaasePinkwart2022, author = {Rudian, Sylvio Leo and Haase, Jennifer and Pinkwart, Niels}, title = {Predicting creativity in online courses}, series = {2022 International Conference on Advanced Learning Technologies (ICALT)}, booktitle = {2022 International Conference on Advanced Learning Technologies (ICALT)}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-6654-9519-6}, doi = {10.1109/ICALT55010.2022.00056}, pages = {164 -- 168}, year = {2022}, abstract = {Many prediction tasks can be done based on users' trace data. This paper explores divergent and convergent thinking as person-related attributes and predicts them based on features gathered in an online course. We use the logfile data of a short Moodle course, combined with an image test (IMT), the Alternate Uses Task (AUT), the Remote Associates Test (RAT), and creative self-efficacy (CSE). Our results show that originality and elaboration metrics can be predicted with an accuracy of ~.7 in cross-validation, whereby predicting fluency and RAT scores perform worst. CSE items can be predicted with an accuracy of ~.45. The best performing model is a Random Forest Tree, where the features were reduced using a Linear Discriminant Analysis in advance. The promising results can help to adjust online courses to the learners' needs based on their creative performances.}, language = {en} } @article{CromwellHaaseVladova2023, author = {Cromwell, Johnathan R. and Haase, Jennifer and Vladova, Gergana}, title = {The creative thinking profile}, series = {Personality and individual differences}, volume = {208}, journal = {Personality and individual differences}, publisher = {Elsevier Science}, address = {Amsterdam}, issn = {0191-8869}, doi = {10.1016/j.paid.2023.112205}, year = {2023}, abstract = {Intrinsic motivation is widely considered essential to creativity because it facilitates more divergent thinking during problem solving. However, we argue that intrinsic motivation has been theorized too heavily as a unitary construct, overlooking various internal factors of a task that can shape the baseline level of intrinsic motivation people have for working on the task. Drawing on theories of cognitive styles, we develop a new scale that measures individual preferences for three different creative thinking styles that we call divergent thinking, bricoleurgent thinking, and emergent thinking. Through a multi-study approach consisting of exploratory factor analysis, confirmatory factor analysis, and convergent validity, we provide psychometric evidence showing that people can have distinct preferences for each cognitive process when generating ideas. Furthermore, when validating this scale through an experiment, we find that each style becomes more dominant in predicting overall enjoyment, engagement, and creativity based on different underlying structures of a task. Therefore, this paper makes both theoretical and empirical contributions to literature by unpacking intrinsic motivation, showing how the alignment between different creative thinking styles and task can be essential to predicting intrinsic motivation, thus reversing the direction of causality between the motivational and cognitive components of creativity typically assumed in literature.}, language = {en} } @incollection{HaaseThimBender2022, author = {Haase, Jennifer and Thim, Christof and Bender, Benedict}, title = {Expanding modeling notations}, series = {Business process management workshops}, volume = {436}, booktitle = {Business process management workshops}, editor = {Marrella, Andrea and Weber, Barbara}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-94342-4}, doi = {10.1007/978-3-030-94343-1_15}, pages = {197 -- 208}, year = {2022}, abstract = {Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.}, language = {en} } @article{HaaseHanelGronau2023, author = {Haase, Jennifer and Hanel, Paul H. P. and Gronau, Norbert}, title = {Creativity enhancement methods for adults}, series = {Psychology of aesthetics, creativity, and the arts}, journal = {Psychology of aesthetics, creativity, and the arts}, publisher = {American Psychological Association}, address = {Washington, DC}, issn = {1931-3896}, doi = {10.1037/aca0000557}, pages = {30}, year = {2023}, abstract = {This meta-analysis synthesizes 332 effect sizes of various methods to enhance creativity. We clustered all studies into 12 methods to identify the most effective creativity enhancement methods. We found that, on average, creativity can be enhanced, Hedges' g = 0.53, 95\% CI [0.44, 0.61], with 70.09\% of the participants in the enhancement conditions being more creative than the average person in the control conditions. Complex training courses, meditation, and cultural exposure were the most effective (gs = 0.66) while the use of cognitive manipulation drugs was the least and also noneffective, g = 0.10. The type of training material was also important. For instance, figural methods were more effective in enhancing creativity, and enhancing converging thinking was more effective than enhancing divergent thinking. Study effect sizes varied considerably across all studies and for many subgroup analyses, suggesting that researchers can plausibly expect to find reversed effects occasionally. We found no evidence of publication bias. We discuss theoretical implications and suggest future directions for best practices in enhancing creativity. (PsycInfo Database Record (c) 2023 APA, all rights reserved)}, language = {en} } @incollection{ThimGronauHaaseetal.2023, author = {Thim, Christof and Gronau, Norbert and Haase, Jennifer and Grum, Marcus and Sch{\"u}ffler, Arnulf and Roling, Wiebke and Kluge, Annette}, title = {Modeling change in business processes}, series = {Business modeling and software design}, booktitle = {Business modeling and software design}, editor = {Shishkov, Boris}, publisher = {Springer Nature}, address = {Cham}, isbn = {978-3-031-36756-4}, doi = {10.1007/978-3-031-36757-1_1}, pages = {3 -- 17}, year = {2023}, abstract = {Business processes are regularly modified either to capture requirements from the organization's environment or due to internal optimization and restructuring. Implementing the changes into the individual work routines is aided by change management tools. These tools aim at the acceptance of the process by and empowerment of the process executor. They cover a wide range of general factors and seldom accurately address the changes in task execution and sequence. Furthermore, change is only framed as a learning activity, while most obstacles to change arise from the inability to unlearn or forget behavioural patterns one is acquainted with. Therefore, this paper aims to develop and demonstrate a notation to capture changes in business processes and identify elements that are likely to present obstacles during change. It connects existing research from changes in work routines and psychological insights from unlearning and intentional forgetting to the BPM domain. The results contribute to more transparency in business process models regarding knowledge changes. They provide better means to understand the dynamics and barriers of change processes.}, language = {en} } @phdthesis{Haase2023, author = {Haase, Jennifer}, title = {Creative intensive processes}, doi = {10.25932/publishup-59388}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-593886}, school = {Universit{\"a}t Potsdam}, pages = {xiii, 346}, year = {2023}, abstract = {Creativity - developing something new and useful - is a constant challenge in the working world. Work processes, services, or products must be sensibly adapted to changing times. To be able to analyze and, if necessary, adapt creativity in work processes, a precise understanding of these creative activities is necessary. Process modeling techniques are often used to capture business processes, represent them graphically and analyze them for adaptation possibilities. This has been very limited for creative work. An accurate understanding of creative work is subject to the challenge that, on the one hand, it is usually very complex and iterative. On the other hand, it is at least partially unpredictable as new things emerge. How can the complexity of creative business processes be adequately addressed and simultaneously manageable? This dissertation attempts to answer this question by first developing a precise process understanding of creative work. In an interdisciplinary approach, the literature on the process description of creativity-intensive work is analyzed from the perspective of psychology, organizational studies, and business informatics. In addition, a digital ethnographic study in the context of software development is used to analyze creative work. A model is developed based on which four elementary process components can be analyzed: Intention of the creative activity, Creation to develop the new, Evaluation to assess its meaningfulness, and Planning of the activities arising in the process - in short, the ICEP model. These four process elements are then translated into the Knockledge Modeling Description Language (KMDL), which was developed to capture and represent knowledge-intensive business processes. The modeling extension based on the ICEP model enables creative business processes to be identified and specified without the need for extensive modeling of all process details. The modeling extension proposed here was developed using ethnographic data and then applied to other organizational process contexts. The modeling method was applied to other business contexts and evaluated by external parties as part of two expert studies. The developed ICEP model provides an analytical framework for complex creative work processes. It can be comprehensively integrated into process models by transforming it into a modeling method, thus expanding the understanding of existing creative work in as-is process analyses.}, language = {en} } @article{HaaseHanel2022, author = {Haase, Jennifer and Hanel, Paul H. P.}, title = {Priming creativity: Doing math reduces creativity and happiness whereas playing short online games enhance them}, series = {Frontiers in Education}, journal = {Frontiers in Education}, publisher = {Frontiers}, address = {Lausanne, Schweiz}, issn = {2504-284X}, doi = {10.3389/feduc.2022.976459}, pages = {14}, year = {2022}, abstract = {Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings.}, language = {en} } @misc{HaaseHanel, author = {Haase, Jennifer and Hanel, Paul H. P.}, title = {Priming creativity: Doing math reduces creativity and happiness whereas playing short online games enhance them}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {154}, issn = {1867-5808}, doi = {10.25932/publishup-58590}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-585909}, pages = {14}, abstract = {Creative thinking is an indispensable cognitive skill that is becoming increasingly important. In the present research, we tested the impact of games on creativity and emotions in a between-subject online experiment with four conditions (N = 658). (1) participants played a simple puzzle game that allowed many solutions (priming divergent thinking); (2) participants played a short game that required one fitting solution (priming convergent thinking); (3) participants performed mental arithmetic; (4) passive control condition. Results show that divergent and convergent creativity were higher after playing games and lower after mental arithmetic. Positive emotions did not function as a mediator, even though they were also heightened after playing the games and lower after mental arithmetic. However, contrary to previous research, we found no direct effect of emotions, creative self-efficacy, and growth- vs. fixed on creative performance. We discuss practical implications for digital learning and application settings.}, language = {en} } @article{SchuefflerThimHaaseetal.2019, author = {Sch{\"u}ffler, Arnulf and Thim, Christof and Haase, Jennifer and Gronau, Norbert and Kluge, Annette}, title = {Information processing in work environment 4.0 and the beneficial impact of intentional forgetting on change management}, series = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology}, volume = {64}, journal = {Zeitschrift f{\"u}r Arbeits- und Organisationspsychologie : german journal of work and organizational psychology}, number = {1}, publisher = {Hogrefe}, address = {G{\"o}ttingen}, issn = {0932-4089}, doi = {10.1026/0932-4089/a000307}, pages = {17 -- 29}, year = {2019}, abstract = {Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment (N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.}, language = {en} } @article{HaaseVladovaBender2022, author = {Haase, Jennifer and Vladova, Gergana and Bender, Benedict}, title = {Dating on a different stage, but with the same habits}, series = {PsyArXiv}, journal = {PsyArXiv}, number = {245}, doi = {10.31234/osf.io/kj68b}, pages = {14}, year = {2022}, abstract = {This study aims to compare online vs. offline flirting and dating behavior using the example of the location-based real-time dating (LBRTD) app Tinder, a popular dating platform. We focus on persons' self-descriptions like self-esteem, social desirability, state social anxiety, and adjustment behavior on Tinder and the perceived data privacy of the app. Data was gathered using a survey approach with Tinder users reporting their behavior in offline and online settings. The comparison between offline and online behavior was made using Response Surface Analysis. The results suggest that the different conditions of the natural and digital worlds do not influence the individual's behavior and emotional perception. The results are analyzed and discuss gender, age, motivation to use the app, and the user's relationship status.}, language = {en} } @inproceedings{RuedianHaasePinkwart2021, author = {R{\"u}dian, Sylvio Leo and Haase, Jennifer and Pinkwart, Niels}, title = {The relation of convergent thinking and trace data in an online course}, series = {Die 19. Fachtagung Bildungstechnologien (DELFI) / Lecture Notes in Informatics (LNI)}, booktitle = {Die 19. Fachtagung Bildungstechnologien (DELFI) / Lecture Notes in Informatics (LNI)}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, pages = {181 -- 186}, year = {2021}, abstract = {Many prediction tasks can be done based on users' trace data. In this paper, we explored convergent thinking as a personality-related attribute and its relation to features gathered in interactive and non-interactive tasks of an online course. This is an under-utilized attribute that could be used for adapting online courses according to the creativity level to enhance the motivation of learners. Therefore, we used the logfile data of a 60 minutes Moodle course with N=128 learners, combined with the Remote Associates Test (RAT). We explored the trace data and found a weak correlation between interactive tasks and the RAT score, which was the highest considering the overall dataset. We trained a Random Forest Regressor to predict convergent thinking based on the trace data and analyzed the feature importance. The result has shown that the interactive tasks have the highest importance in prediction, but the accuracy is very low. We discuss the potential for personalizing online courses and address further steps to improve the applicability.}, language = {en} } @inproceedings{HaaseThimBender2021, author = {Haase, Jennifer and Thim, Christof and Bender, Benedict}, title = {Expanding modeling notations}, series = {Business Process Management Workshops. BPM 2021 / Lecture Notes in Business Information Processing}, booktitle = {Business Process Management Workshops. BPM 2021 / Lecture Notes in Business Information Processing}, number = {436}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-94342-4}, doi = {10.1007/978-3-030-94343-1_15}, pages = {193 -- 196}, year = {2021}, abstract = {Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.}, language = {en} } @inproceedings{Haase2020, author = {Haase, Jennifer}, title = {How games spoil creativity}, series = {International conference of ISPIM / International Society for Professional Innovation Management : papers / Graduate School of Industrial Engineering and Management Science, Eindhoven University of Technology}, booktitle = {International conference of ISPIM / International Society for Professional Innovation Management : papers / Graduate School of Industrial Engineering and Management Science, Eindhoven University of Technology}, publisher = {International Society for Professional Innovation Management}, address = {Manchester}, pages = {1 -- 12}, year = {2020}, abstract = {The demand for a creative workforce is every growing and effective measures to improve individual creativity are searched for. This study analyzes the possibility to use games as a prime for a creative mindset. Two short entertainment games, plus a no-game-comparison condition were set up in three versions of an online-study, along with two creativity tasks and scales to assess the individual creative mindset (fixed-vs-growth, creative self-efficacy and affect). Results indicate priming effects of the games, but in the opposite intended direction: gaming diminished the creative test performances. Those playing the games reported more ideas in the open-ended creative problem task, but those answers were of less quality and they solved less closed-problem items compared to those not playing. An impact of further mindset differences could be ruled out.}, language = {en} } @inproceedings{HaaseMatthiesenSchueffleretal.2020, author = {Haase, Jennifer and Matthiesen, Julia and Sch{\"u}ffler, Arnulf and Kluge, Annette}, title = {Retentivity beats prior knowledge as predictor for the acquisition and adaptation of new production processes}, series = {Proceedings of the 53rd Hawaii International Conference on System Sciences}, volume = {53}, booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences}, publisher = {Western Periodicals Co.}, address = {North Hollywood, Calif.}, doi = {10125/64331}, pages = {4797 -- 4805}, year = {2020}, abstract = {In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual's performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.}, language = {en} } @article{HaaseThim2020, author = {Haase, Jennifer and Thim, Christof}, title = {An approach to model forgetting}, series = {AIS Transactions on Enterprise Systems}, volume = {4}, journal = {AIS Transactions on Enterprise Systems}, number = {1}, publisher = {Gito mbH Verlag f{\"u}r Industrielle Informationstechnik und Organisation}, address = {Berlin}, doi = {10.30844/aistes.v4i1.17}, pages = {12}, year = {2020}, abstract = {This paper aims to investigate the possibility to include aspects of forgetting into business process modeling. To date, there is no possibility to model forgotten or to-be- forgotten elements beyond the mere deletion. On a first attempt, we focus on the individual level and model knowledge transformation within a single person. Using the Knowledge Model Description Language, we propose ways to include different forms of forgetting into the realm of modeling tools. Using data from an experimental setting within an assembly line production environment, the usability of those new modeling tools is tested. So far, the applicability of modeling features for forgetting on the individual level is mostly restricted to a research context. However, clear requirements to transfer the tools onto the team- and organizational level are set out.}, language = {en} }