Special Issue on Highlights of ACM Intelligent User Interface (IUI) 2017
Fang Chen, Carlos Duarte, Wai‐Tat Fu · ACM Transactions on Interactive Intelligent Systems · 2019
This special issue highlights 11 papers from the ACM Intelligent User Interface (IUI) 2017 international conference, which received 272 submissions and of which 63 of them were accepted by the program committee (acceptance rate: 23%).The 11 articles in this special issue of TiiS were selected by the program committee to be among the best papers accepted into the program of ACM IUI 2017.Each of these selected conference papers was extended, with at least 30% new materials in the new version, which allowed authors to elaborate on their excellent lines of research relevant to the ACM IUI community.The extended versions of the papers have gone through a new review process by at least three reviewers.This special issue starts with two articles on analyzing and learning from multimodal signals to inform human behavior.In "AttentiveVideo: A Multimodal Approach to Quantify Emotional Responses to Mobile Advertisements," the authors propose AttentiveVideo, a scalable intelligent mobile interface with corresponding inference algorithms to monitor and quantify the effects of mobile video advertising in real time.This interface employs a combination of implicit photoplethysmography sensing and facial expression analysis to detect attention, engagement, and sentiment of viewers as they watch video advertisements on unmodified smartphones.In "Wearables and Social Signal Processing for Better Public Presentations," the authors studied