38 citations · 54 across the 4 of their papers we have counts for
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cs.HC2021
Towards Teachable Conversational Agents
Nalin Chhibber, Edith Law
The traditional process of building interactive machine learning systems can be viewed as a teacher-learner interaction scenario where the machine-learners are trained by one or mo…
cs.HC2019★ 11 cited
Using Conversational Agents To Support Learning By Teaching
Nalin Chhibber, Edith Law
Conversational agents are becoming increasingly popular for supporting and facilitating learning. Conventional pedagogical agents are designed to play the role of human teachers by…
cs.HC2017★ 5 cited
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design
Snehalkumar "Neil" S. Gaikwad, Nalin Chhibber, Vibhor Sehgal +26
Low-quality results have been a long-standing problem on microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been…