activity
20182023
most citedSupporting Answerers with Feedback in Social Q&A

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2023

Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport

Yuya Asano, Diane Litman, Mingzhi Yu +4

While speech-enabled teachable agents have some advantages over typing-based ones, they are vulnerable to errors stemming from misrecognition by automatic speech recognition (ASR).…

cs.HC2022

Dominance as an Indicator of Rapport and Learning in Human-Agent Communication

Amanda Buddemeyer, Xiaoyi Tian, Erin Walker

Power dynamics in human-human communication can impact rapport-building and learning gains, but little is known about how power impacts human-agent communication. In this paper, we…

cs.CL2022

Comparison of Lexical Alignment with a Teachable Robot in Human-Robot and Human-Human-Robot Interactions

Yuya Asano, Diane Litman, Mingzhi Yu +4

Speakers build rapport in the process of aligning conversational behaviors with each other. Rapport engendered with a teachable agent while instructing domain material has been sho…

cs.HC2021★ 1 cited

Words of Wisdom: Representational Harms in Learning From AI Communication

Amanda Buddemeyer, Erin Walker, Malihe Alikhani

Many educational technologies use artificial intelligence (AI) that presents generated or produced language to the learner. We contend that all language, including all AI communica…

cs.SI2018★ 5 cited

Supporting Answerers with Feedback in Social Q&A

John Frens, Erin Walker, Gary Hsieh

Prior research has examined the use of Social Question and Answer (Q&A) websites for answer and help seeking. However, the potential for these websites to support domain learning h…