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Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust
16 references·0 citing·55 second hop
Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust (2024)Effects of multimodal explanations for au…Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Education in the Era of Gener…Cognitive Uncertainty (2023)Cognitive UncertaintyLittle Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles (2021)Little Road Driving HUD: Head…Processing resources and attention (2020)Processing resources and atte…In UX We Trust (2019)In UX We TrustBuilding Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design (2019)Building Trust in Autonomous …Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior (2018)Enhancing Trust in Autonomous…Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design (2017)Creating Appropriate Trust in…Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015)Investigating the Importance …Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance (2014)Why did my car just do that? …Multimodal interaction: A review (2013)Multimodal interaction: A rev…Learning Styles (2008)Learning StylesNasa-task load index (NASA-TLX); 20 years later (2006)Nasa-task load index (NASA-TL…Nasa-Task Load Index (NASA-TLX); 20 Years Later (2006)Nasa-Task Load Index (NASA-TL…Cognitive load theory: implications of cognitive load theory on the design of learning (2002)Cognitive load theory: implic…Immediate perceptual response to intersensory discrepancy. (1980)Immediate perceptual response…Hearing lips and seeing voices (1976)Crossmodal Processing in the Human Brain: Insights from Functional Neuroimaging Studies (2001)The Handbook of Multisensory Processes (2004)The not face: A grammaticalization of facial expressions of emotion (2016)A meta-analysis of how signaling affects learning with media (2017)Trusting Virtual Agents (2019)Measurement of Situation Awareness in Dynamic Systems (1995)Toward a Theory of Situation Awareness in Dynamic Systems (1995)The media equation: how people treat computers, television, and new media like real people and places (1997)Psychological roadblocks to the adoption of self-driving vehicles (2017)From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018)Psychological factors underlying attitudes toward AI tools (2023)Generalized expectancies for internal versus external control of reinforcement. (1966)Experiential Learning (1984)The g factor: the science of mental ability (1998)The Big Five personality traits, learning styles, and academic achievement (2011)Self-Regulated Learning: Beliefs, Techniques, and Illusions (2012)Do Learners Really Know Best? Urban Legends in Education (2013)Psychological Differentiation: Studies of Development (1963)Vision and Touch: An Experimentally Created Conflict between the Two Senses (1964)Visual dominance: An information-processing account of its origins and significance. (1976)Humans integrate visual and haptic information in a statistically optimal fashion (2002)Visual speech speeds up the neural processing of auditory speech (2005)Crossmodal correspondences: A tutorial review (2011)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)A Review of Mobile Robotic Telepresence (2013)A Social Virtual Reality Based Construction Safety Education System for Experiential Learning (2014)How High is High? A Meta-Analysis of NASA-TLX Global Workload Scores (2015)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Working Memory (1974)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Digital game-based learning: Towards an experiential gaming model (2005)DeFT: A conceptual framework for considering learning with multiple representations (2006)A Review of Self-regulated Learning: Six Models and Four Directions for Research (2017)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)Service robot implementation: a theoretical framework and research agenda (2019)Trust in AI and Its Role in the Acceptance of AI Technologies (2022)Judgment under Uncertainty: Heuristics and Biases (1974)Advances in prospect theory: Cumulative representation of uncertainty (1992)Efficient Coding and Risky Choice (2021)Expert Judgment and Uncertainty in Sociotechnical Systems Analysis (2024)Stories, Statistics, and Memory (2024)The Quarterly Journal of Economics (2024)What is assessment for learning? (2011)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? (2023)Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education (2023)Students’ voices on generative AI: perceptions, benefits, and challenges in higher education (2023)What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature (2023)Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces (2018)Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation (2022)Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making (2023)
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References

  • 2006Nasa-Task Load Index (NASA-TLX); 20 Years Later4,288 cited
  • 2023Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning3,935 cited
  • 2008Learning Styles2,499 cited
  • 2015Investigating the Importance of Trust on Adopting an Autonomous Vehicle1,208 cited
  • 1980Immediate perceptual response to intersensory discrepancy.1,174 cited
  • 2002Cognitive load theory: implications of cognitive load theory on the design of learning934 cited
  • 2006Nasa-task load index (NASA-TLX); 20 years later838 cited
  • 2013Multimodal interaction: A review553 cited
  • 2014Why did my car just do that? Explaining semi-autonomous driving actions to improve driver understanding, trust, and performance497 cited
  • 2023Cognitive Uncertainty260 cited
  • 2020Processing resources and attention213 cited
  • 2017Creating Appropriate Trust in Automated Vehicle Systems: A Framework for HMI Design170 cited
  • 2019Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design170 cited
  • 2018Enhancing Trust in Autonomous Vehicles through Intelligent User Interfaces That Mimic Human Behavior118 cited
  • 2019

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In UX We Trust
78 cited
  • 2021Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles74 cited
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