About the Workshop

In a world increasingly reliant on technology, Conversational User Interfaces (CUIs) have evolved from a novel concept to a ubiquitous presence, reshaping the way we interact with machines. With advancements in voice recognition and synthesis technologies and the emergence of chatbots powered by Large Language Models (LLMs) like ChatGPT, CUIs have rapidly ascended to a prominent position in the realm of human-computer interaction (HCI) research and practice. From everyday tasks like setting reminders and shopping online to seeking information and engaging in casual conversations, users interact with conversational technologies in a multitude of ways. Within this diverse array of activities, whether they are transactional or social in nature, a common thread emerges: the necessity of trust. Trust becomes a paramount factor, pivotal not only in ensuring the accuracy and reliability of the information and services provided but also in determining the level of comfort users experience when sharing personal data or developing meaningful connections with these AI-powered systems.

In this workshop, our primary objective is to gather researchers from the CHI community to investigate different aspects of trust in CUIs. We intend to investigate complexities and unique dimensions of trust from various perspectives, encompassing specialized areas within CHI, such as Human-AI Interaction (HAII), Human-Robot Interaction (HRI), XAI, and CUI. In our workshop discussions, we will reflect on:

Conceptual Clarity of Trust in CUIs: The foundation of our exploration involves refining and defining the conceptual boundaries of trust within the context of CUIs. We aim to foster a more informed and unified discourse by establishing a clear and shared understanding of trust.

Design Techniques and Trust Calibration: We will scrutinize design strategies that can inadvertently result in the miscalibration of user trust and raise ethical concerns. An illustrative example is the integration of human-like traits into CUIs, which can impact user perceptions.

Interconnections of Trust with Other Values: Trust can exhibit a delicate balance, be diminished, or even conflict with other values such as privacy, transparency, or usability. This exploration discusses the emergence of tensions in specific scenarios and highlights how design decisions in CUIs can significantly impact these perceptions.

Integrative Measurement Methods: Developing comprehensive methods for measuring trust, combining objective and subjective scales, is important to our inquiry to mitigate overtrust and undertrust.

Temporal Evolution of Trust: Trust is a dynamic concept that evolves over time and context. We will explore the temporal aspects of trust, examining how it fluctuates in different stages of interaction and adoption.

Building on our series dedicated to Conversational User Interfaces, this workshop is designed to gather a diverse mix of scholars, practitioners, and researchers. Together, we’ll explore the ever-evolving world of CUIs. In line with the theme of this year’s CUI’24 conference, “Trustworthy Conversational Agents,” our workshop will initiate a vital dialogue on the topic of trust in CUIs, setting the stage for a deeper understanding and development in this critical area.

Please see our Call for Papers page for details about submitting to the workshop.

Key dates

Submissions due

February 22nd 29th, 2024 AoE

Notifications sent

March 21st 25th, 2024 AoE

Workshop date & time

May 11th, 2024 (Saturday)

9 AM – 5:20 PM

Room 305B, Hawaii Convention Center

Online

Zoom Link

Submission

Papers should be submitted to Smit Desai by email.