Why and why not explanations improve the intelligibility of context-aware intelligent systems

@inproceedings{Lim2009WhyAW,
  title={Why and why not explanations improve the intelligibility of context-aware intelligent systems},
  author={Brian Y. Lim and Anind K. Dey and Daniel Avrahami},
  booktitle={CHI},
  year={2009}
}
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system intelligibility can lead to loss of user trust, satisfaction and acceptance of these systems. However, automatically providing explanations about a system's decision process can help mitigate this problem. In this paper we present results from a controlled study with over 200 participants in which the effectiveness of… CONTINUE READING
Highly Cited
This paper has 224 citations. REVIEW CITATIONS
123 Extracted Citations
2 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 123 extracted citations

224 Citations

0204060'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 224 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-2 of 2 references

Similar Papers

Loading similar papers…