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  - 
TY  - CHAP
A1  - Mirbabaie, Milad
A1  - Rieskamp, Jonas
A1  - Hofeditz, Lennart
A1  - Stieglitz, Stefan
ED  - Bui, Tung X.
T1  - Breaking down barriers
BT  - how conversational agents facilitate open science and data sharing
T2  - Proceedings of the 57th Annual Hawaii International Conference on System Sciences
N2  - Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants’ data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect.
KW  - open science practices in information systems research
KW  - conversational agents
KW  - data sharing
KW  - digital nudging
KW  - open science
KW  - research data management
Y1  - 2024
UR  - https://hdl.handle.net/10125/106457
SN  - 978-0-99813-317-1
SP  - 672
EP  - 681
PB  - Department of IT Management Shidler College of Business University of Hawaii
CY  - Honolulu, HI
ER  - 
TY  - CHAP
A1  - Stieglitz, Stefan
A1  - Fromm, Jennifer
A1  - Kocur, Alexander
A1  - Rostalski, Frauke
A1  - Duda, Michelle
A1  - Evans, Alison
A1  - Rieskamp, Jonas
A1  - Sievi, Luzia
A1  - Pawelec, Maria
A1  - Heesen, Jessica
A1  - Loh, Wulf
A1  - Fuchß, Christoph
A1  - Eyilmez, Kaan
T1  - What measures can government institutions in Germany take against digital disinformation?
BT  - a systematic literature review and ethical-legal discussion
T2  - Wirtschaftsinformatik 2023 Proceedings
N2  - Disinformation campaigns spread rapidly through social media and can cause serious harm, especially in crisis situations, ranging from confusion about how to act to a loss of trust in government institutions. Therefore, the prevention of digital disinformation campaigns represents an important research topic. However, previous research in the field of information systems focused on the technical possibilities to detect and combat disinformation, while ethical and legal perspectives have been neglected so far. In this article, we synthesize previous information systems literature on disinformation prevention measures and discuss these measures from an ethical and legal perspective. We conclude by proposing questions for future research on the prevention of disinformation campaigns from an IS, ethical, and legal perspective. In doing so, we contribute to a balanced discussion on the prevention of digital disinformation campaigns that equally considers technical, ethical, and legal issues, and encourage increased interdisciplinary collaboration in future research.
KW  - disinformation campaigns
KW  - social media
KW  - ethical implications
KW  - legal implications
KW  - government agencies
Y1  - 2023
UR  - https://aisel.aisnet.org/wi2023/20/
PB  - AIS Electronic Library (AISeL)
CY  - [Erscheinungsort nicht ermittelbar]
ER  -