Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Decision control and explanations in human-AI collaboration

Improving user perceptions and compliance

Bibliographic Data

ID21563169
AuthorsMonika Westphal (0000-0002-9210-0513, University of Cologne, corresponding author), Michael Vössing (0000-0002-7722-6142, Karlsruhe Institute of Technology), Gerhard Satzger (0000-0001-8731-654X, Karlsruhe Institute of Technology), Galit B Yom-Tov (Technion – Israel Institute of Technology), Anat Rafaeli (0000-0002-0300-5806, Technion – Israel Institute of Technology)
Year2023
Volume144
Pages107714
Publication date2023-07-01
Open AccessYes
TypeARTICLE
VenueComputers in Human Behavior (JOURNAL)
Journal identifiersISSN: 0747-5632 • E-ISSN: 1873-7692
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.chb.2023.107714
OpenAlexW4321113589
LanguageEN
Citations received12
References cited66

Cognition · Cognitive Load · Harm · Human–computer interaction · Knowledge management · Perception · Big Data and Business Intelligence · Cognitive Science and Mapping · Computer Science · Engineering · Human-Automation Interaction and Safety · Psychology · Social Psychology · Artificial Intelligence

  • Artificial Intelligence and Job Design

    Open Access•Arnold B Bakker, Tom L Junker et al.•Technology in Society•2026

  • Uncovering the dynamics of human-AI hybrid performance

    Open Access•Dóra Göndöcs, Szabolcs Horváth et al.•International Journal of…•2025

  • The role of explainable AI in influencing user trust and advice-taking in image aesthetic quality evaluation

    Open Access•Yao Wang, Huiling Yu et al.•International Journal of…•2026

  • Cognitive pathways from information overload and need for cognition to information verification on social networking sites

    Nima Kordzadeh, Hamed Qahri‐Saremi et al.•Internet Research•2026

  • Beyond the Linear Perspective

    Open Access•Erica Wen Chen, Duoran Liu et al.•Group Decision and Negotiation•2026

  • Offended by the algorithm

    Open Access•Gerri Spassova, Mauricio Palmeira•Computers in Human Behavior•2026

  • The impact of affordances for emotional human–chatbot interaction on users’ willingness to self-disclose

    Open Access•Xu Zengzhan, Lei Mingpeng•Computers in Human Behavior•2026

  • How explanatory features of AI and time frame reshape adolescents’ decision-making

    Open Access•Zhuo Shen, Yinghe Chen et al.•Computers & Education•2026

  • Responsible AI for trustworthy tourism

    Open Access•Hari Babu Singu, Debarun Chakraborty et al.•Technological Forecasting and…•2026

  • How does AI literacy empower decision-making quality? The mediating role of employee-AI collaboration and the moderating role of AI trust

    Open Access•Jin Zhao, J Y Zhao et al.•Acta Psychologica•2026

  • Unveiling trust in AI

    Open Access•Qinpu Dang, Guiquan Li•AI & Society•2026

  • Exploring trends and topics in hybrid intelligence using keyword co-occurrence networks and topic modelling

    Open Access•J H Lim, Jihye Lim et al.•Futures•2025

  • Explanation in artificial intelligence

    Open Access•Tim Miller•Artificial Intelligence•2019

  • Overcoming Algorithm Aversion

    Open Access•Berkeley J Dietvorst, Joseph P Simmons et al.•Management Science•2018

  • Hayes, Andrew F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis

    Open Access•Jocelyn H Bolin•Journal of Educational Measurement•2014

  • Which cognitive abilities underlie computational thinking? Criterion validity of the Computational Thinking Test

    Open Access•Marcos Román‐gonzález, Juan‐carlos Pérez‐gonzález et al.•Computers in Human Behavior•2017

  • Understanding information technology acceptance by individual professionals

    Open Access•Mun Yong Yi, Joyce Jackson et al.•Information & Management•2006

  • Another look at measures of forecast accuracy

    Open Access•Rob J Hyndman, Anne B Koehler•International Journal of…•2006

  • Cognitive Load Measurement as a Means to Advance Cognitive Load Theory

    Fred Paas, Juhani E Tuovinen et al.•Educational Psychologist•2003

  • Instructional control of cognitive load in the training of complex cognitive tasks

    Open Access•Fred Paas, Fred G W C Paas et al.•Educational Psychology Review•1994

  • Cognitive load theory, learning difficulty, and instructional design

    Open Access•John Sweller•Learning and Instruction•1994

  • Understanding Cognitive Load in Digital and Online Learning

    Open Access•Alexander Skulmowski, Kate M Xu•Educational Psychology Review•2022

  • Role of fairness, accountability, and transparency in algorithmic affordance

    Open Access•Doh Shin, Donghee Shin et al.•Computers in Human Behavior•2019

  • From local explanations to global understanding with explainable AI for trees

    Open Access•Scott M Lundberg, Scott Lundberg et al.•Nature Machine Intelligence•2020

  • Viewpoint

    Open Access•Katja Grace, John Salvatier et al.•Journal of Artificial Intelligence…•2018

  • A Theory of Procedure

    John Thibaut, Laurens Walker•California Law Review•1978

  • Motivation and cognitive abilities

    Ruth Kanfer, Phillip L Ackerman•Journal of Applied Psychology•1989

  • Automation bias

    Kate Goddard, Abdul Roudsari et al.•Journal of the American Medical…•2012

  • Foundations for an Empirically Determined Scale of Trust in Automated Systems

    Jiun-Yin Jian, Ann M Bisantz et al.•International Journal of…•2000

  • On data-limited and resource-limited processes

    Open Access•Derek A Norman, Donald A Norman et al.•Cognitive Psychology•1975

  • Trust in Automation

    John D Lees, John D Lee et al.•Human Factors: The Journal of the…•2004

  • Algorithm appreciation

    Open Access•Jennifer M Logg, Julia A Minson et al.•Organizational Behavior and Human…•2019

  • G*Power 3

    Open Access•Franz Faul, Edgar Erdfelder et al.•Behavior Research Methods•2007

  • User Acceptance of Information Technology

    Viswanath Venkatesh, Venkatesh Venkatesh et al.•MIS Quarterly•2003

  • Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

    Open Access•Claes Fornell, David F Larcker•Journal of Marketing Research•1981

  • Social Influence

    Robert B Cialdini, Noah J Goldstein•Annual Review of Psychology•2004

  • AI4People—An Ethical Framework for a Good AI Society

    Open Access•Luciano Floridi, Josh Cowls et al.•Minds and Machines•2018

  • The effects of explainability and causability on perception, trust, and acceptance

    Open Access•Doh Shin•International Journal of…•2021

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

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

  • To err is human, not algorithmic – Robust reactions to erring algorithms

    Open Access•Laetitia A Renier, Marianne Schmid Mast et al.•Computers in Human Behavior•2021

  • How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance

    Open Access•Doh Shin•Computers in Human Behavior•2020

  • What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents

    Open Access•Nadine Schlicker, Markus Langer et al.•Computers in Human Behavior•2021

  • Thurstone's primary mental abilities and structure-of-intellect abilities

    J P Guilford•Psychological Bulletin•1972

  • A systematic review of algorithm aversion in augmented decision making

    Open Access•Jason W Burton, Mari‐klara Stein et al.•Journal of Behavioral Decision…•2020

  • The Wonderlic Personnel Test

    Open Access•Stuart J Mckelvie•Psychological Reports•1989

  • Beyond the Turk

    Open Access•Eyal Peer, Laura Brandimarte et al.•Journal of Experimental Social…•2017

  • The biggest lie on the Internet

    Jonathan A Obar, Anne Oeldorf-Hirsch•Information Communication & Society•2018

  • Cognitive Load of Learner Control

    Open Access•Mieke Vandewaetere, Geraldine Clarebout•Education Research International•2013

Citations per year12
Citation span2025 - 2026 (2)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae