Predicting brain functional connectivity using mobile sensing

M Obuchi, JF Huckins, W Wang, A Dasilva… - Proceedings of the …, 2020 - dl.acm.org
Brain circuit functioning and connectivity between specific regions allow us to learn,
remember, recognize and think as humans. In this paper, we ask the question if mobile …

On the transition of social interaction from in-person to online: predicting changes in social media usage of college students during the COVID-19 pandemic based on …

W Wang, J Wu, SK Nepal, A DaSilva… - Proceedings of the …, 2021 - dl.acm.org
Pandemics significantly impact human daily life. People throughout the world adhere to
safety protocols (eg, social distancing and self-quarantining). As a result, they willingly keep …

Preventer, a selection mechanism for just-in-time preventive interventions

LG Jaimes, M Llofriu, A Raij - IEEE Transactions on Affective …, 2015 - ieeexplore.ieee.org
This paper examines just-in-time adaptive interventions (JITAIs) for stress, a pervasive and
affective computing application with significant implications for long-term health and quality …

Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations

S Mirjafari, S Nepal, W Wang, AT Campbell - arxiv preprint arxiv …, 2023 - arxiv.org
Hallucination is an apparent perception in the absence of real external sensory stimuli. An
auditory hallucination is a perception of hearing sounds that are not real. A common form of …

Behavioural variables analysis in mobile environments

D Marczal, PT Aquino Junior - … , User Experience, and Usability: Users and …, 2015 - Springer
Due to the recent proliferation of mobile applications, it has become essential to obtain a
better understanding of how people use their devices and applications. However, it is not …

参加型センシングの効率化に向けたコンテキストに基づく応答の推定

赤池勇磨, 荒川豊, 諏訪博彦, 安本慶一 - 情報処理学会論文誌, 2016 - ipsj.ixsq.nii.ac.jp
論文抄録 参加型センシングを高効率に行うためには, センシングタスクの受信者に対して,
返信しやすいタイミングでタスク依頼を行う必要がある. また, センシングタスク依頼者は …

Capturing daily student life by recognizing complex activities using smartphones

C Meurisch, A Gogel, B Schmidt, T Nolle… - Proceedings of the 14th …, 2017 - dl.acm.org
In-depth understanding of student life is essential to proactively support students in their
academic educations. However, there is no work that identifies and recognizes a sufficient …

Predicting app launches on mobile devices using intelligent agents and machine learning

NPM Denissen - 2015 - studenttheses.uu.nl
Data rich applications often have to load large amounts of data upon launch. The launch
times for these applications, eg Facebook and NU. nl, can be improved by prefetching their …

MyFactor: ユーザの内面状態に寄与する因子情報の個人特性に適応的な分析

小渕幹夫, 西山勇毅, 大越匡, 米澤拓郎… - 情報処理学会論文 …, 2017 - ipsj.ixsq.nii.ac.jp
論文抄録 **年, 様々なセンサを搭載したスマートフォンの発達と普及により, 第三者による客観視が
困難である 「忙しい」 や 「疲れている」 といった人間の内面状態の推定を行う研究が行われている …

[BOEK][B] Improving the Efficacy of Context-Aware Applications

JC Hammer - 2018 - search.proquest.com
In this dissertation, we explore methods for enhancing the context-awareness capabilities of
modern computers, including mobile devices, tablets, wearables, and traditional computers …