Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload (1905.08878v1)

Published 21 May 2019 in cs.HC, cs.CY, and cs.RO

Abstract: Explanations given by automation are often used to promote automation adoption. However, it remains unclear whether explanations promote acceptance of automated vehicles (AVs). In this study, we conducted a within-subject experiment in a driving simulator with 32 participants, using four different conditions. The four conditions included: (1) no explanation, (2) explanation given before or (3) after the AV acted and (4) the option for the driver to approve or disapprove the AV's action after hearing the explanation. We examined four AV outcomes: trust, preference for AV, anxiety and mental workload. Results suggest that explanations provided before an AV acted were associated with higher trust in and preference for the AV, but there was no difference in anxiety and workload. These results have important implications for the adoption of AVs.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (7)
  1. Na Du (12 papers)
  2. Jacob Haspiel (1 paper)
  3. Qiaoning Zhang (5 papers)
  4. Dawn Tilbury (2 papers)
  5. Anuj K. Pradhan (4 papers)
  6. X. Jessie Yang (38 papers)
  7. Lionel P. Robert Jr (7 papers)
Citations (114)

Summary

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