@inproceedings{ubo_mods_00189158,
  author = {Wang, Chunpai and Sahebi, Shaghayegh and Torkamaan, Helma},
  editor = {He, Jing and Unland, Rainer and Santos Jr., Eugene and Tao, Xiaohui and Purohit, Hemant and van den Heuvel, Willem-Jan and Yearwood, John and Cao, Jie},
  title = {STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data},
  booktitle = {WI-IAT ’21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology},
  series = {ACM International Conference Proceeding Series},
  year = {2021},
  publisher = {Association for Computing Machinery},
  address = {New York},
  pages = {453–462},
  keywords = {behavior modeling; stress management; tensor decomposition},
  isbn = {978-1-4503-9115-3},
  doi = {10.1145/3486622},
  url = {https://doi.org/10.1145/3486622.3493967},
  language = {en}
}


@inproceedings{Torkamaan_2020_exploring,
  author = {Torkamaan, Helma and Ziegler, Jürgen},
  title = {Exploring chatbot user interfaces for mood measurement: A study of validity and user experience},
  booktitle = {Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers},
  year = {2020},
  publisher = {Association for Computing Machinery (ACM)},
  address = {New York},
  pages = {135–138},
  keywords = {PANAS},
  abstract = {With the growth of interactive text or voice-enabled systems, such as intelligent personal assistants and chatbots, it is now possible to easily measure a user’s mood using a conversation-based interaction instead of traditional questionnaires. However, it is still unclear if such mood measurements would be valid, akin to traditional measures, and user-engaging. Using smartphones, we compare in this paper two of the most popular traditional measures of mood: International PANAS-Short Form (I-PANAS-SF) and Affect Grid. For each of these measures, we then investigate the validity of mood measurement with a modified, chatbot-based user interface design. Our preliminary results suggest that some mood measures may not be resilient to modifications and that their alteration could lead to invalid, if not meaningless results. This exploratory paper then presents and discusses four voice-based mood tracker designs and summarizes user perception of and satisfaction with these tools. \textcopyright 2020 Owner/Author.},
  isbn = {9781450380768},
  doi = {10.1145/3410530.3414395},
  url = {https://dl.acm.org/doi/10.1145/3410530.3414395}
}


@inproceedings{ubo_mods_00096389,
  author = {Torkamaan, Helma and Ziegler, Jürgen},
  booktitle = {2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 23-26},
  year = {2017},
  title = {A Taxonomy of Mood Research and Its Applications in Computer Science},
  publisher = {Institute of Electrical and Electronics Engineers Inc.},
  address = {Piscataway},
  pages = {421–426},
  isbn = {978-1-5386-0563-9},
  doi = {10.1109/ACII.2017.8273634}
}