activity
19942023
most citedA Virtual Conversational Agent for Teens with Autism: Experimental Results and Design Lessons

93 citations · 107 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2023★ 2 cited

Validating a virtual human and automated feedback system for training doctor-patient communication skills

Kurtis Haut, Caleb Wohn, Benjamin Kane +6

Effective communication between a clinician and their patient is critical for delivering healthcare maximizing outcomes. Unfortunately, traditional communication training approache…

cs.HC2020

Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education

Mohammad Rafayet Ali, Taylan Sen, Benjamin Kane +5

In this paper, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and dis…

cs.AI2020★ 2 cited

History-Aware Question Answering in a Blocks World Dialogue System

Benjamin Kane, Georgiy Platonov, Lenhart K. Schubert

It is essential for dialogue-based spatial reasoning systems to maintain memory of historical states of the world. In addition to conveying that the dialogue agent is mentally pres…

cs.AI2019★ 1 cited

A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World

Georgiy Platonov, Benjamin Kane, Aaron Gindi +1

The blocks world is a classic toy domain that has long been used to build and test spatial reasoning systems. Despite its relative simplicity, tackling this domain in its full comp…

cs.HC2019★ 3 cited

Discourse Behavior of Older Adults Interacting With a Dialogue Agent Competent in Multiple Topics

S. Zahra Razavi, Lenhart K. Schubert, Kimberly A. Van Orden +1

We present some results concerning the dialogue behavior and inferred sentiment of a group of older adults interacting with a computer-based avatar. Our avatar is unique in its abi…

cs.CL2019

A Type-coherent, Expressive Representation as an Initial Step to Language Understanding

Gene Louis Kim, Lenhart Schubert

A growing interest in tasks involving language understanding by the NLP community has led to the need for effective semantic parsing and inference. Modern NLP systems use semantic…

cs.AI2019★ 4 cited

Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults

S. Zahra Razavi, Lenhart K. Schubert, Benjamin Kane +3

We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults. Users at risk of loneliness, social anxiety or a sense…

cs.HC2018★ 93 cited

A Virtual Conversational Agent for Teens with Autism: Experimental Results and Design Lessons

Mohammad Rafayet Ali, Zahra Razavi, Abdullah Al Mamun +5

We present the design of an online social skills development interface for teenagers with autism spectrum disorder (ASD). The interface is intended to enable private conversation p…

cs.AI2012

A New Characterization of Probabilities in Bayesian Networks

Lenhart Schubert

We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-N…

cs.AI1996

Accelerating Partial-Order Planners: Some Techniques for Effective Search Control and Pruning

A. Gerevini, L. Schubert

We propose some domain-independent techniques for bringing well-founded partial-order planners closer to practicality. The first two techniques are aimed at improving search contro…

cmp-lg1994★ 2 cited

Knowledge Representation for Lexical Semantics: Is Standard First Order Logic Enough?

Marc Light, Lenhart Schubert

Natural language understanding applications such as interactive planning and face-to-face translation require extensive inferencing. Many of these inferences are based on the meani…