Crowdlearn: A crowd-ai hybrid system for deep learning-based damage assessment applications

D Zhang, Y Zhang, Q Li, T Plummer… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
Artificial Intelligence (AI) has been widely adopted in many important application domains
such as speech recognition, computer vision, autonomous driving, and AI for social good. In …

Theophany: Multimodal speech augmentation in instantaneous privacy channels

A Kumar, T Braud, LH Lee, P Hui - Proceedings of the 29th ACM …, 2021 - dl.acm.org
Many factors affect speech intelligibility in face-to-face conversations. These factors lead
conversation participants to speak louder and more distinctively, exposing the content to …

Danger, Nuisance, Disregard: Analyzing User-Generated Videos for Augmented Reality Gameplay on Hand-held Devices

LH Lee, Z Lin - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Augmented Reality (AR) has been largely deployed on smartphones in recent years. AR
gaming, featured with geo-reference, is anchored to our real-world environments …

Archie: A user-focused framework for testing augmented reality applications in the wild

SM Lehman, H Ling, CC Tan - … on Virtual Reality and 3D User …, 2020 - ieeexplore.ieee.org
In this paper, we present ARCHIE, a framework for testing augmented reality applications in
the wild. ARCHIE collects user feedback and system state data in situ to help developers …

Profile‐Based Ad Hoc Social Networking Using Wi‐Fi Direct on the Top of Android

N Aneja, S Gambhir - Mobile Information Systems, 2018 - Wiley Online Library
Ad hoc social networks have become popular to support novel applications related to
location‐based mobile services that are of great importance to users and businesses. Unlike …

Social augmented reality: A multiperspective survey

A Nijholt - 2021 Joint 10th International Conference on …, 2021 - ieeexplore.ieee.org
We introduce research on social augmented reality with an emphasis on social face-to-face
interaction. In social interaction interactants employ knowledge about their conversational …

Collaborating with users in proximity for decentralized mobile recommender systems

F Beierle, T Eichinger - … & Communications, Cloud & Big Data …, 2019 - ieeexplore.ieee.org
Typically, recommender systems from any domain, be it movies, music, restaurants, etc., are
organized in a centralized fashion. The service provider holds all the data, biases in the …

Augmented-Reality-Based 3D Emotional Messenger for Dynamic User Communication with Smart Devices

J Choe, T Lee, S Seo - Electronics, 2020 - mdpi.com
With the development of Internet technologies, chat environments have migrated from PCs
to mobile devices. Conversations have moved from phone calls and text messages to …

MobRec—mobile platform for decentralized recommender systems

F Beierle, S Egger - IEEE Access, 2020 - ieeexplore.ieee.org
Recommender systems recommend new movies, music, restaurants, etc. Typically, service
providers organize such systems in a centralized way, holding all the data. Biases in the …

Affinity: A system for latent user similarity comparison on texting data

T Eichinger, F Beierle, SU Khan… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
In the field of social networking services, finding similar users based on profile data is
common practice. Smartphones harbor sensor and personal context data that can be used …