Title
Understanding Blind People's Experiences with Computer-Generated Captions of Social Media Images.
Abstract
Research advancements allow computational systems to automatically caption social media images. Often, these captions are evaluated with sighted humans using the image as a reference. Here, we explore how blind and visually impaired people experience these captions in two studies about social media images. Using a contextual inquiry approach (n=6 blind/visually impaired), we found that blind people place a lot of trust in automatically generated captions, filling in details to resolve differences between an image's context and an incongruent caption. We built on this in-person study with a second, larger online experiment (n=100 blind/visually impaired) to investigate the role of phrasing in encouraging trust or skepticism in captions. We found that captions emphasizing the probability of error, rather than correctness, encouraged people to attribute incongruence to an incorrect caption, rather than missing details. Where existing research has focused on encouraging trust in intelligent systems, we conclude by challenging this assumption and consider the benefits of encouraging appropriate skepticism.
Year
DOI
Venue
2017
10.1145/3025453.3025814
CHI
Keywords
Field
DocType
Automatic image captioning, alt text, accessibility, blindness, social media, Twitter
Social media,Intelligent decision support system,Computer science,Correctness,Filling-in,Human–computer interaction,Skepticism,Contextual inquiry,Probability of error,Multimedia,Blindness
Conference
Citations 
PageRank 
References 
13
0.52
23
Authors
4
Name
Order
Citations
PageRank
Haley MacLeod1546.34
Cynthia L. Bennett223424.83
Meredith Ringel Morris35465362.85
Ed Cutrell42731205.59