The introduction of generative AI into multi-user applications raises novel considerations for
the future of collaborative work. How might collaborative work practices change? How might …

To address a research gap on how AI can be leveraged to enhance customers' in-store
journeys, this study evaluates the effectiveness of an AI-powered conversational decision …

People can generate more innovative ideas when they collaborate with one another,
collectively exploring ideas and exchanging viewpoints. Advancements in artificial …

The evolution of Artificial Intelligence (AI) and Machine Learning (ML) enables new ways to
envision how computer tools will aid, work with, and even guide human teams. This paper …

Highlights•We conducted a review of AI in design literature to address how scholars have
engaged with AI over the past two decades.•To interpret the fragmented literature, we …

Purpose Human-artificial intelligence (AI) collaboration, as a new form of cooperative
interaction, has been applied in brainstorming activities. This study aims to explore the …

Inter-generational communication is essential for bridging generational gaps and fostering
mutual understanding. However, maintaining it is complex due to cultural, communicative …

In networked virtual reality (VR), user behaviors, individual differences, and group dynamics
can serve as important signals into future speech behaviors, such as who the next speaker …

Prior work has demonstrated that design tasks can be cognitively demanding, due to the
inherent ambiguity and complexity of design problems. Few studies, however, have …

Conversational AI agents are commonly applied within single-user, turn-taking scenarios.
The interaction mechanics of these scenarios are trivial: when the user enters a message …