TY  - CHAP
A1  - Kocur, Alexander
A1  - Clausen, Sünje
A1  - Hofeditz, Lennart
A1  - Brünker, Felix
A1  - Fromm, Jennifer
A1  - Stieglitz, Stefan
T1  - Fighting false information
BT  - designing a conversational agent for public sector organizations
T2  - ECIS 2023 research-in-progress papers
N2  - 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.
KW  - false information
KW  - conversational agents
KW  - crisis communication
KW  - media literacy
Y1  - 2023
UR  - https://aisel.aisnet.org/ecis2023_rip/65
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  - 
TY  - JOUR
A1  - Hofeditz, Lennart
A1  - Mirbabaie, Milad
A1  - Ortmann, Mara
T1  - Ethical challenges for human–agent interaction in virtual collaboration at work
JF  - International journal of human computer interaction
N2  - 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.
KW  - conversational agents
KW  - human–computer interaction
KW  - virtual collaboration
KW  - ethics
KW  - virtual teams
KW  - trust
Y1  - 2023
U6  - https://doi.org/10.1080/10447318.2023.2279400
SN  - 1044-7318
SN  - 1532-7590
PB  - Taylor & Francis
CY  - New York, NY
ER  - 
TY  - CHAP
A1  - Rieskamp, Jonas
A1  - Mirbabaie, Milad
A1  - Hofeditz, Lennart
A1  - Vischedyk, Justin
T1  - Conversational agents and their influence on the well-being of cliniciansclinicians
T2  - ACIS 2023 proceedings
N2  - 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.
KW  - conversational agents
KW  - well-being
KW  - mental health
KW  - hospitals
KW  - clinicians
Y1  - 2023
UR  - https://aisel.aisnet.org/acis2023/66
PB  - Australasian Association for Information Systems
CY  - Wellington
ER  -