Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
5 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology (2210.03737v1)

Published 5 Oct 2022 in cs.HC and cs.AI

Abstract: The rapid development of AI requires developers and designers of AI systems to focus on the collaboration between humans and machines. AI explanations of system behavior and reasoning are vital for effective collaboration by fostering appropriate trust, ensuring understanding, and addressing issues of fairness and bias. However, various contextual and subjective factors can influence an AI system explanation's effectiveness. This work draws inspiration from findings in cognitive psychology to understand how effective explanations can be designed. We identify four components to which explanation designers can pay special attention: perception, semantics, intent, and user & context. We illustrate the use of these four explanation components with an example of estimating food calories by combining text with visuals, probabilities with exemplars, and intent communication with both user and context in mind. We propose that the significant challenge for effective AI explanations is an additional step between explanation generation using algorithms not producing interpretable explanations and explanation communication. We believe this extra step will benefit from carefully considering the four explanation components outlined in our work, which can positively affect the explanation's effectiveness.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (5)
  1. Ruben S. Verhagen (1 paper)
  2. Siddharth Mehrotra (6 papers)
  3. Mark A. Neerincx (4 papers)
  4. Catholijn M. Jonker (42 papers)
  5. Myrthe L. Tielman (5 papers)
Citations (1)

Summary

We haven't generated a summary for this paper yet.