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Sabrina Zhong

dblp:374/9342 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-4465-9565ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 77% Interaction techniques and input · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › conversational agents
conversational agent interaction
0.812024
Cooking With Agents: Designing Context-aware Voice Interaction · CHI 2024
Interaction techniques and input
voice interaction
0.212024
Cooking With Agents: Designing Context-aware Voice Interaction · CHI 2024

Methods — techniques the papers use, named apart from their topics

wizard-of-oz study · 0.8conversation analysis · 0.8
YearPublicationVenuePosition
2024 Cooking With Agents: Designing Context-aware Voice Interaction
abstract
Voice Agents (VAs) are touted as being able to help users in complex tasks such as cooking and interacting as a conversational partner to provide information and advice while the task is ongoing. Through conversation analysis of 7 cooking sessions with a commercial VA, we identify challenges caused by a lack of contextual awareness leading to irrelevant responses, misinterpretation of requests, and information overload. Informed by this, we evaluated 16 cooking sessions with a wizard-led context-aware VA. We observed more fluent interaction between humans and agents, including more complex requests, explicit grounding within utterances, and complex social responses. We discuss reasons for this, the potential for personalisation, and the division of labour in VA communication and proactivity. Then, we discuss the recent advances in generative models and the VAs interaction challenges. We propose limited context awareness in VAs as a step toward explainable, explorable conversational interfaces.
Razan Jaber, Sabrina Zhong, Sanna Kuoppamäki, Aida Hosseini, Iona Gessinger, Duncan P. Brumby, Benjamin R. Cowan, Donald McMillan
CHI2