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7 papers · 1 filter
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing
Taesik Gong, Yewon Kim, Adiba Orzikulova +4
Many applications utilize sensors in mobile devices and machine learning to provide novel services. However, various factors such as different users, devices, and environments impa…
ComFeel: Productivity is a Matter of the Senses Too
Marios Constantinides, Sanja Šćepanović, Daniele Quercia +3
Indoor environmental quality has been found to impact employees' productivity in the long run, yet it is unclear its meeting-level impact in the short term. We studied the relation…
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling
Zeyang Liu, Ke Zhou, Jiaxin Mao +1
Conversational search systems, such as Google Assistant and Microsoft Cortana, provide a new search paradigm where users are allowed, via natural language dialogues, to communicate…
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides +2
Body-focused repetitive behaviors (BFRBs), like face-touching or skin-picking, are hand-driven behaviors which can damage one's appearance, if not identified early and treated. Tec…
Streetonomics: Quantifying Culture Using Street Names
Melanie Bancilhon, Marios Constantinides, Edyta Paulina Bogucka +2
Quantifying a society's value system is important because it suggests what people deeply care about -- it reflects who they actually are and, more importantly, who they will like t…
Meta-evaluation of Conversational Search Evaluation Metrics
Zeyang Liu, Ke Zhou, Max L. Wilson
Conversational search systems, such as Google Assistant and Microsoft Cortana, enable users to interact with search systems in multiple rounds through natural language dialogues. E…