Generative adversarial networks for spatio-temporal data: A survey

N Gao, H Xue, W Shao, S Zhao, KK Qin… - ACM Transactions on …, 2022 - dl.acm.org
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …

Predicting personality from patterns of behavior collected with smartphones

C Stachl, Q Au, R Schoedel… - Proceedings of the …, 2020 - National Acad Sciences
Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length
away, these sensor-rich devices can easily be repurposed to collect rich and extensive …

[HTML][HTML] Can personality traits be measured analyzing written language? A meta-analytic study on computational methods

JD Moreno, JA Martinez-Huertas, R Olmos… - Personality and …, 2021 - Elsevier
In the last two decades, empirical evidence has shown that personality traits could be
related to the characteristics of written language. This study describes a meta-analysis that …

Personal llm agents: Insights and survey about the capability, efficiency and security

Y Li, H Wen, W Wang, X Li, Y Yuan, G Liu, J Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild

N Gao, W Shao, MS Rahaman, FD Salim - Proceedings of the ACM on …, 2020 - dl.acm.org
The study of student engagement has attracted growing interests to address problems such
as low academic performance, disaffection, and high dropout rates. Existing approaches to …

Transfer learning for thermal comfort prediction in multiple cities

N Gao, W Shao, MS Rahaman, J Zhai, K David… - Building and …, 2021 - Elsevier
Abstract The HVAC (Heating, Ventilation and Air Conditioning) system is an important part of
a building, which constitutes up to 40% of building energy usage. The main purpose of …

Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables

N Gao, M Marschall, J Burry, S Watkins, FD Salim - Scientific Data, 2022 - nature.com
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia.
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …

[HTML][HTML] When phones get personal: Predicting Big Five personality traits from application usage

E Peltonen, P Sharmila, KO Asare, A Visuri… - Pervasive and Mobile …, 2020 - Elsevier
As smartphones are increasingly an integral part of daily life, recent literature suggests a
deeper relationship between personality traits and smartphone usage. However, this …

Affective state prediction from smartphone touch and sensor data in the wild

R Wampfler, S Klingler, B Solenthaler… - Proceedings of the …, 2022 - dl.acm.org
Knowledge of users' affective states can improve their interaction with smartphones by
providing more personalized experiences (eg, search results and news articles). We present …

Predicting Big Five personality traits from smartphone data: a meta‐analysis on the potential of digital phenotyping

D Marengo, JD Elhai, C Montag - Journal of Personality, 2023 - Wiley Online Library
Objective Since the first study linking recorded smartphone variables to self‐reported
personality in 2011, many additional studies have been published investigating this …