55 citations · 199 across the 13 of their papers we have counts for
13 papers
Modeling Performance in Open-Domain Dialogue with PARADISE
Marilyn Walker, Colin Harmon, James Graupera +2
There has recently been an explosion of work on spoken dialogue systems, along with an increased interest in open-domain systems that engage in casual conversations on popular topi…
Athena: Constructing Dialogues Dynamically with Discourse Constraints
Vrindavan Harrison, Juraj Juraska, Wen Cui +11
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management t…
Entertaining and Opinionated but Too Controlling: A Large-Scale User Study of an Open Domain Alexa Prize System
Kevin K. Bowden, Jiaqi Wu, Wen Cui +6
Conversational systems typically focus on functional tasks such as scheduling appointments or creating todo lists. Instead we design and evaluate SlugBot (SB), one of 8 semifinalis…
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness
Jiaqi Wu, Ryan Compton, Geetanjali Rakshit +3
We present our system, CruzAffect, for the CL-Aff Shared Task 2019. CruzAffect consists of several types of robust and efficient models for affective classification tasks. We utili…
What Are You Hiding? Algorithmic Transparency and User Perceptions
Aaron Springer, Steve Whittaker
Extensive recent media focus has been directed towards the dark side of intelligent systems, how algorithms can influence society negatively. Often, transparency is proposed as a s…
Dice in the Black Box: User Experiences with an Inscrutable Algorithm
Aaron Springer, Victoria Hollis, Steve Whittaker
We demonstrate that users may be prone to place an inordinate amount of trust in black box algorithms that are framed as intelligent. We deploy an algorithm that purportedly assess…
Progressive Disclosure: Designing for Effective Transparency
Aaron Springer, Steve Whittaker
As we increasingly delegate important decisions to intelligent systems, it is essential that users understand how algorithmic decisions are made. Prior work has often taken a techn…
"I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency
Aaron Springer, Steve Whittaker
The rise of machine learning has brought closer scrutiny to intelligent systems, leading to calls for greater transparency and explainable algorithms. We explore the effects of tra…
And That's A Fact: Distinguishing Factual and Emotional Argumentation in Online Dialogue
Shereen Oraby, Lena Reed, Ryan Compton +3
We investigate the characteristics of factual and emotional argumentation styles observed in online debates. Using an annotated set of "factual" and "feeling" debate forum posts, w…
Linguistic Reflexes of Well-Being and Happiness in Echo
Jiaqi Wu, Marilyn Walker, Pranav Anand +1
Different theories posit different sources for feelings of well-being and happiness. Appraisal theory grounds our emotional responses in our goals and desires and their fulfillment…
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion
Stephanie M. Lukin, Pranav Anand, Marilyn Walker +1
Americans spend about a third of their time online, with many participating in online conversations on social and political issues. We hypothesize that social media arguments on su…
Improvising Linguistic Style: Social and Affective Bases for Agent Personality
Marilyn A. Walker, Janet E. Cahn, Stephen J. Whittaker
This paper introduces Linguistic Style Improvisation, a theory and set of algorithms for improvisation of spoken utterances by artificial agents, with applications to interactive s…
Mixed Initiative in Dialogue: An Investigation into Discourse Segmentation
Marilyn Walker, Steve Whittaker
Conversation between two people is usually of mixed-initiative, with control over the conversation being transferred from one person to another. We apply a set of rules for the tra…