@inproceedings{KocurClausenHofeditzetal.2023,
  author    = {Kocur, Alexander and Clausen, S{\"u}nje and Hofeditz, Lennart and Br{\"u}nker, Felix and Fromm, Jennifer and Stieglitz, Stefan},
  title     = {Fighting false information},
  series = {ECIS 2023 research-in-progress papers},
  booktitle = {ECIS 2023 research-in-progress papers},
  publisher = {AIS Electronic Library (AISeL)},
  address   = {[Erscheinungsort nicht ermittelbar]},
  pages     = {12},
  year      = {2023},
  abstract  = {The digital transformation poses challenges for public sector organizations (PSOs) such as the dissemination of false information in social media which can cause uncertainty among citizens and decrease trust in the public sector. Some PSOs already successfully deploy conversational agents (CAs) to communicate with citizens and support digital service delivery. In this paper, we used design science research (DSR) to examine how CAs could be designed to assist PSOs in fighting false information online. We conducted a workshop with the municipality of Kristiansand, Norway to define objectives that a CA would have to meet for addressing the identified false information challenges. A prototypical CA was developed and evaluated in two iterations with the municipality and students from Norway. This research-in-progress paper presents findings and next steps of the DSR process. This research contributes to advancing the digital transformation of the public sector in combating false information problems.},
  language  = {en}
}
@inproceedings{RieskampMirbabaieHofeditzetal.2023,
  author    = {Rieskamp, Jonas and Mirbabaie, Milad and Hofeditz, Lennart and Vischedyk, Justin},
  title     = {Conversational agents and their influence on the well-being of cliniciansclinicians},
  series = {ACIS 2023 proceedings},
  booktitle = {ACIS 2023 proceedings},
  publisher = {Australasian Association for Information Systems},
  address   = {Wellington},
  pages     = {16},
  year      = {2023},
  abstract  = {An increasing number of clinicians (i.e., nurses and physicians) suffer from mental health-related issues like depression and burnout. These, in turn, stress communication, collaboration, and decision- making—areas in which Conversational Agents (CAs) have shown to be useful. Thus, in this work, we followed a mixed-method approach and systematically analysed the literature on factors affecting the well-being of clinicians and CAs' potential to improve said well-being by relieving support in communication, collaboration, and decision-making in hospitals. In this respect, we are guided by Brigham et al. (2018)'s model of factors influencing well-being. Based on an initial number of 840 articles, we further analysed 52 papers in more detail and identified the influences of CAs' fields of application on external and individual factors affecting clinicians' well-being. As our second method, we will conduct interviews with clinicians and experts on CAs to verify and extend these influencing factors.},
  language  = {en}
}