Risk elicitation for user-generated content in situated interaction

By Coutinho, P.; Jos\'e, R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016

Abstract

Digital public displays have a unique capability to enable situated shared experiences, especially when open to user-generated content from people in their vicinity. The challenge, however, is how to open public displays to user-generated content, while being able to efficiently support conformity with place and display owner expectations. Sharing the display with users potentiates many risks, which go far beyond the feared appropriation of the display for presenting offensive content. In this study, we conducted a systematic elicitation of the risks involved. Based on a qualitative analysis of moderation situations referred in the literature, we identify and describe 7 specific risks that display owners should manage to be able to support user-generated content.

ALGORITMI Members

RepositoriUM:

Google Scholar: