Search Results for author: Mert İnan

Found 7 papers, 2 papers with code

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems

no code implementations28 Jan 2025 Mert İnan, Anthony Sicilia, Suvodip Dey, Vardhan Dongre, Tejas Srinivasan, Jesse Thomason, Gökhan Tür, Dilek Hakkani-Tür, Malihe Alikhani

While theories of discourse and cognitive science have long recognized the value of unhurried pacing, recent dialogue research tends to minimize friction in conversational systems.

Decision Making Friction

Generating Signed Language Instructions in Large-Scale Dialogue Systems

no code implementations17 Oct 2024 Mert İnan, Katherine Atwell, Anthony Sicilia, Lorna Quandt, Malihe Alikhani

We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide multimodal conversational AI platform.

Retrieval Text Generation +1

Learning Multimodal Cues of Children's Uncertainty

no code implementations17 Oct 2024 Qi Cheng, Mert İnan, Rahma Mbarki, Grace Grmek, Theresa Choi, Yiming Sun, Kimele Persaud, Jenny Wang, Malihe Alikhani

In this work, for the first time, we present a dataset annotated in collaboration with developmental and cognitive psychologists for the purpose of studying nonverbal cues of uncertainty.

Multimodal Contextualized Plan Prediction for Embodied Task Completion

no code implementations10 May 2023 Mert İnan, Aishwarya Padmakumar, Spandana Gella, Patrick Lange, Dilek Hakkani-Tur

Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks.

Prediction Task Planning

Modeling Intensification for Sign Language Generation: A Computational Approach

1 code implementation Findings (ACL) 2022 Mert İnan, Yang Zhong, Sabit Hassan, Lorna Quandt, Malihe Alikhani

To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification.

Text Generation

Including Facial Expressions in Contextual Embeddings for Sign Language Generation

no code implementations11 Feb 2022 Carla Viegas, Mert İnan, Lorna Quandt, Malihe Alikhani

State-of-the-art sign language generation frameworks lack expressivity and naturalness which is the result of only focusing manual signs, neglecting the affective, grammatical and semantic functions of facial expressions.

Text Generation

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