JOURNAL ARTICLE

Investigating intelligibility for uncertain context-aware applications

Abstract

Context-aware applications use sensing and inference to attempt to determine users' contexts, and take appropriate action. However, they are prone to uncertainty, and this may compromise the trust users have in them. Providing intelligibility has been proposed to help explain to users how context-aware applications work in order to improve user impressions of them. However, we hypothesize that intelligibility may actually be harmful for applications that are very uncertain of their actions. We conducted a large controlled study of a location-aware and a sound-aware application, investigating the impact of intelligibility on understanding, and user impression of applications with varying certainty. We found that intelligibility impacts user impressions, depending on the application's certainty and behavior appropriateness. Intelligibility is helpful for applications with high certainty, but it is harmful if applications behave appropriately, yet display low certainty.

Keywords:
Certainty Intelligibility (philosophy) Computer science Inference Compromise Perception Human–computer interaction Artificial intelligence Psychology Mathematics Epistemology

Metrics

96
Cited By
4.09
FWCI (Field Weighted Citation Impact)
24
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Mobile Crowdsensing and Crowdsourcing
Physical Sciences →  Computer Science →  Computer Science Applications
Personal Information Management and User Behavior
Social Sciences →  Decision Sciences →  Information Systems and Management
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