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20182024
most citedAffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

77 citations · 89 across the 3 of their papers we have counts for

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Showing cs.HCShow all

7 papers · 1 filter

cs.HC2024

From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions

Subigya Nepal, Javier Hernandez, Talie Massachi +7

Information workers increasingly struggle with productivity challenges in modern workplaces, facing difficulties in managing time and effectively utilizing workplace analytics data…

cs.HC2023

"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming

Connor Lawless, Jakob Schoeffer, Lindy Le +5

A critical factor in the success of decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their prefe…

cs.HC20233 cited

Affective Conversational Agents: Understanding Expectations and Personal Influences

Javier Hernandez, Jina Suh, Judith Amores +3

The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains. As these agents become more prevalent, it is crucial to inves…

cs.HC202177 cited

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

Prasanth Murali, Javier Hernandez, Daniel McDuff +3

The ability to monitor audience reactions is critical when delivering presentations. However, current videoconferencing platforms offer limited solutions to support this. This work…

cs.HC2019

Towards Understanding Emotional Intelligence for Behavior Change Chatbots

Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski +1

A natural conversational interface that allows longitudinal symptom tracking would be extremely valuable in health/wellness applications. However, the task of designing emotionally…

cs.HC20199 cited

A Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications

Daniel McDuff, Kael Rowan, Piali Choudhury +3

Humans use a host of signals to infer the emotional state of others. In general, computer systems that leverage signals from multiple modalities will be more robust and accurate in…