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Wearable Reasoner: Towards Enhanced Human Rationality Through A Wearable Device With An Explainable AI Assistant

Authors:

Valdemar Danry,

Pat Pataranutaporn,

Pattie MaesAuthors Info & Claims

AHs '20: Proceedings of the Augmented Humans International Conference

Article No.: 23, Pages 1 - 12

https://doi.org/10.1145/3384657.3384799

Published: 06 June 2020 Publication History

Abstract

Human judgments and decisions are prone to errors in reasoning caused by factors such as personal biases and external misinformation. We explore the possibility of enhanced reasoning by implementing a wearable AI system as a human symbiotic counterpart. We present "Wearable Reasoner", a proof-of-concept wearable system capable of analyzing if an argument is stated with supporting evidence or not. We explore the impact of argumentation mining and explainability of the AI feedback on the user through an experimental study of verbal statement evaluation tasks. The results demonstrate that the device with explainable feedback is effective in enhancing rationality by helping users differentiate between statements supported by evidence and without. When assisted by an AI system with explainable feedback, users significantly consider claims supported by evidence more reasonable and agree more with them compared to those without. Qualitative interviews demonstrate users' internal processes of reflection and integration of the new information in their judgment and decision making, emphasizing improved evaluation of presented arguments.

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Index Terms

Wearable Reasoner: Towards Enhanced Human Rationality Through A Wearable Device With An Explainable AI Assistant
1. Human-centered computing
  1. Human computer interaction (HCI)
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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AHs '20: Proceedings of the Augmented Humans International Conference

March 2020

296 pages

ISBN:9781450376037

DOI:10.1145/3384657

General Chairs:
Bo Zhou,
Jingyuan Cheng,
Program Chairs:
Paul Strohmeier,
Shoya Ishimaru,
Thomas Kosch

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March 16 - 17, 2020

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https://doi.org/10.1155/2024/4628855
Ilo CDiVerdi SBowman D(2024)Goldilocks Zoning: Evaluating a Gaze-Aware Approach to Task-Agnostic VR Notification PlacementProceedings of the 2024 ACM Symposium on Spatial User Interaction10.1145/3677386.3682087(1-12)Online publication date: 7-Oct-2024
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Hartwig KDoell FReuter C(2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 25-Jun-2024
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