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Ivo Benke

Biographic Data

ID6541263
NAMEIvo Benke
GIVEN NAMESIvo
FAMILY NAMEBenke
SIGNATUREBENKE I
AFFILIATIONSKarlsruhe Institute of Technology
ORCID0000-0002-3165-7131
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

    Open Access•Désirée Zercher, Ekaterina Jussupow et al.•ARTICLE•Journal of Organizational Behavior•2025

    Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether new AI‐specific asymmetries emerge from team–AI collaboration. Building on the information asymmetries m…

  • The Impact of Video Meeting Systems on Psychological User States

    Open Access•Julia Seitz, Ivo Benke et al.•ARTICLE•International Journal of…•2024

  • Understanding the impact of control levels over emotion-aware chatbots

    Open Access•Ivo Benke, Ulrich Gnewuch et al.•ARTICLE•Computers in Human Behavior•2022

No prominent works on this page.

  • Understanding the impact of control levels over emotion-aware chatbots

    Open Access•Ivo Benke, Ulrich Gnewuch et al.•ARTICLE•Computers in Human Behavior•2022

  • The Impact of Video Meeting Systems on Psychological User States

    Open Access•Julia Seitz, Ivo Benke et al.•ARTICLE•International Journal of…•2024

  • How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

    Open Access•Désirée Zercher, Ekaterina Jussupow et al.•ARTICLE•Journal of Organizational Behavior•2025

    Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether new AI‐specific asymmetries emerge from team–AI collaboration. Building on the information asymmetries m…

Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Engineering (2 works) · Social Psychology (2 works) · Team Dynamics and Performance (2 works) · AI in Service Interactions (1 work) · Autonomy (1 work) · Big Data and Business Intelligence (1 work)

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