activity
20182026
most citedAnalyzing and Characterizing User Intent in Information-seeking Conversations

108 citations · 293 across the 20 of their papers we have counts for

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2026★ 2 cited

Characterizing Personality from Eye-Tracking: The Role of Gaze and Its Absence in Interactive Search Environments

Jiaman He, Marta Micheli, Damiano Spina +3

Personality traits influence how individuals engage, behave, and make decisions during the information-seeking process. However, few studies have linked personality to observable s…

cs.HC2024★ 2 cited

Towards Investigating Biases in Spoken Conversational Search

Sachin Pathiyan Cherumanal, Falk Scholer, Johanne R. Trippas +1

Voice-based systems like Amazon Alexa, Google Assistant, and Apple Siri, along with the growing popularity of OpenAI's ChatGPT and Microsoft's Copilot, serve diverse populations, i…

cs.HC2024

Understanding Modality Preferences in Search Clarification

Leila Tavakoli, Giovanni Castiglia, Federica Calo +3

This study is the first attempt to explore the impact of clarification question modality on user preference in search engines. We introduce the multi-modal search clarification dat…

cs.HC2024★ 8 cited

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search

Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas +4

Instruments such as eye-tracking devices have contributed to understanding how users interact with screen-based search engines. However, user-system interactions in audio-only chan…

cs.HC2022

Imagining Future Digital Assistants at Work: A Study of Task Management Needs

Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11

Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…