@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}
}
@article{HofeditzMirbabaieOrtmann2023,
  author    = {Hofeditz, Lennart and Mirbabaie, Milad and Ortmann, Mara},
  title     = {Ethical challenges for human-agent interaction in virtual collaboration at work},
  series = {International journal of human computer interaction},
  journal   = {International journal of human computer interaction},
  publisher = {Taylor \& Francis},
  address   = {New York, NY},
  issn      = {1044-7318},
  doi       = {10.1080/10447318.2023.2279400},
  pages     = {17},
  year      = {2023},
  abstract  = {In virtual collaboration at the workplace, a growing number of teams apply supportive conversational agents (CAs). They take on different work-related tasks for teams and single users such as scheduling meetings or stimulating creativity. Previous research merely focused on these positive aspects of introducing CAs at the workplace, omitting ethical challenges faced by teams using these often artificial intelligence (AI)-enabled technologies. Thus, on the one hand, CAs can present themselves as benevolent teammates, but on the other hand, they can collect user data, reduce worker autonomy, or foster social isolation by their service. In this work, we conducted 15 expert interviews with senior researchers from the fields of ethics, collaboration, and computer science in order to derive ethical guidelines for introducing CAs in virtual team collaboration. We derived 14 guidelines and seven research questions to pave the way for future research on the dark sides of human-agent interaction in organizations.},
  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}
}