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20232026
most citedThe Value-Sensitive Conversational Agent Co-Design Framework

18 citations · 26 across the 7 of their papers we have counts for

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cs.HC2026

Deflecting the Value Compass: Interacting with Large Language Models Temporarily Shifts Human Value Priorities Toward Personal Focus

Hasibur Rahman, Malak Sadek, Smit Desai

Large language models increasingly support decisions where values are in tension, yet little is known about whether interacting with them changes which values users prioritize. In…

cs.HC2024★ 2 cited

Modulating Language Model Experiences through Frictions

Katherine M. Collins, Valerie Chen, Ilia Sucholutsky +6

Language models are transforming the ways that their users engage with the world. Despite impressive capabilities, over-consumption of language model outputs risks propagating unch…

cs.HC2024★ 1 cited

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits

Malak Sadek, Marios Constantinides, Daniele Quercia +1

Value Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development o…

cs.HC2023★ 1 cited

Exploring Links between Conversational Agent Design Challenges and Interdisciplinary Collaboration

Malak Sadek, Céline Mougenot

Recent years have seen a steady rise in the popularity and use of Conversational Agents (CA) for different applications, well before the more immediate impact of large language mod…

cs.HC2023★ 18 cited

The Value-Sensitive Conversational Agent Co-Design Framework

Malak Sadek, Rafael A. Calvo, Celine Mougenot

Conversational agents (CAs) are gaining traction in both industry and academia, especially with the advent of generative AI and large language models. As these agents are used more…