@inproceedings{reinhardt2020mindpeaks,
 abstract = {Today's busy lifestyle can make us feel overwhelmed. Mindfulness meditation supports our well-being by slowing things down and drawing our attention to the present moment. Accordingly, a wealth of guided mindfulness meditation apps have emerged in the past years. Despite the many apps and an increasing interest within the HCI literature, there is little consensus of how to evaluate these apps and how to derive opportunities for re-design from the results. Our new MindPeaks method utilizes electroencephalography (EEG) to link design elements to meditative states and the user`s self-regulation of attention. This information can help designers to understand and optimize the efficacy of, for example, applications supporting mindfulness meditation.},
 added-at = {2025-04-21T21:44:19.000+0200},
 address = {New York, NY, USA},
 author = {Reinhardt, Daniel and Baur, Cordula and Klüber, Sara and Hurtienne, Jörn},
 biburl = {https://www.bibsonomy.org/bibtex/28276ca5b44bb0fddf34a451a5234c176/wolfssara},
 booktitle = {Companion Publication of the 2020 ACM Designing Interactive Systems Conference},
 doi = {10.1145/3393914.3395855},
 interhash = {3c742429f8d50d5841fe0368c85a810b},
 intrahash = {8276ca5b44bb0fddf34a451a5234c176},
 isbn = {9781450379878},
 keywords = {myown},
 location = {Eindhoven, Netherlands},
 numpages = {6},
 pages = {37–42},
 publisher = {Association for Computing Machinery},
 series = {DIS' 20 Companion},
 timestamp = {2025-04-27T21:23:25.000+0200},
 title = {MindPeaks: Formative Evaluation Method of Mindfulness Meditation Apps},
 year = {2020}
}