1.
Wang, Qile; Zhang, Qinqi; Sun, Weitong; Boulay, Chadwick; Kim, Kangsoo; Barmaki, Roghayeh Leila
A scoping review of the use of lab streaming layer framework in virtual and augmented reality research Journal Article
In: Virtual Reality, 2023.
@article{wang2023scopingreview,
title = {A scoping review of the use of lab streaming layer framework in virtual and augmented reality research},
author = {Qile Wang and Qinqi Zhang and Weitong Sun and Chadwick Boulay and Kangsoo Kim and Roghayeh Leila Barmaki},
doi = {https://doi.org/10.1007/s10055-023-00799-8},
year = {2023},
date = {2023-05-02},
urldate = {2023-05-02},
journal = {Virtual Reality},
abstract = {The use of multimodal data allows excellent opportunities for human–computer interaction research and novel techniques regarding virtual and augmented reality (VR/AR) experiences. Collecting, coordinating, and synchronizing a large amount of data from multiple VR/AR hardware while maintaining a high framerate can be a daunting task, despite the compelling nature of multimodal data. The Lab Streaming Layer (LSL) is an open-source framework that enables the synchronous collection of various types of multimodal data, unlike existing expensive alternatives. However, despite its potential, this framework has not been fully adopted by the VR/AR research community. In this paper, we present a guideline of the LSL framework’s use in VR/AR research as well as report current trends by performing a comprehensive literature review on the subject. We extract 549 publications using LSL from January 2015 to March 2022. We analyze types of data, displays, and targeted application areas. We describe in-depth reviews of 38 selected papers and provide use of LSL in the VR/AR research community while highlighting benefits, challenges, and future opportunities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The use of multimodal data allows excellent opportunities for human–computer interaction research and novel techniques regarding virtual and augmented reality (VR/AR) experiences. Collecting, coordinating, and synchronizing a large amount of data from multiple VR/AR hardware while maintaining a high framerate can be a daunting task, despite the compelling nature of multimodal data. The Lab Streaming Layer (LSL) is an open-source framework that enables the synchronous collection of various types of multimodal data, unlike existing expensive alternatives. However, despite its potential, this framework has not been fully adopted by the VR/AR research community. In this paper, we present a guideline of the LSL framework’s use in VR/AR research as well as report current trends by performing a comprehensive literature review on the subject. We extract 549 publications using LSL from January 2015 to March 2022. We analyze types of data, displays, and targeted application areas. We describe in-depth reviews of 38 selected papers and provide use of LSL in the VR/AR research community while highlighting benefits, challenges, and future opportunities.
2.
Daher, Salam; Kim, Kangsoo; Lee, Myungho; Schubert, Ryan; Bruder, Gerd; Bailenson, Jeremy; Welch, Gregory
Effects of Social Priming on Social Presence with Intelligent Virtual Agents Conference
ACM Intelligent Virtual Agents, Stockholm, Sweden, 2017.
@conference{daher2017effects,
title = {Effects of Social Priming on Social Presence with Intelligent Virtual Agents},
author = {Salam Daher and Kangsoo Kim and Myungho Lee and Ryan Schubert and Gerd Bruder and Jeremy Bailenson and Gregory Welch},
url = {https://link.springer.com/chapter/10.1007/978-3-319-67401-8_10},
doi = {10.1007/978-3-319-67401-8_10},
year = {2017},
date = {2017-04-01},
urldate = {2017-04-01},
booktitle = {ACM Intelligent Virtual Agents},
pages = {87-100},
address = {Stockholm, Sweden},
abstract = {This paper explores whether witnessing an Intelligent Virtual Agent (IVA) in what appears to be a socially engaging discussion with a Confederate Virtual Agent (CVA) prior to a direct interaction, can prime a person to feel and behave more socially engaged with the IVA in a subsequent interaction. To explore this social priming phenomenon, we conducted an experiment in which participants in a control group had no priming while those in an experimental group were briefly exposed to an engaging social interaction between an IVA and a nearby CVA (i.e. a virtual actor). The participants primed by exposure to the brief CVA-IVA interaction reported being significantly more excited and alert, perceiving the IVA as more responsive, and showed significantly higher measures of Co-Presence, Attentional Allocation, and Message Understanding dimensions of social presence for the IVA, compared to those who were not primed.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper explores whether witnessing an Intelligent Virtual Agent (IVA) in what appears to be a socially engaging discussion with a Confederate Virtual Agent (CVA) prior to a direct interaction, can prime a person to feel and behave more socially engaged with the IVA in a subsequent interaction. To explore this social priming phenomenon, we conducted an experiment in which participants in a control group had no priming while those in an experimental group were briefly exposed to an engaging social interaction between an IVA and a nearby CVA (i.e. a virtual actor). The participants primed by exposure to the brief CVA-IVA interaction reported being significantly more excited and alert, perceiving the IVA as more responsive, and showed significantly higher measures of Co-Presence, Attentional Allocation, and Message Understanding dimensions of social presence for the IVA, compared to those who were not primed.
2023
Qile Wang, Qinqi Zhang, Weitong Sun, Chadwick Boulay, Kangsoo Kim, Roghayeh Leila Barmaki
A scoping review of the use of lab streaming layer framework in virtual and augmented reality research Journal Article
In: Virtual Reality, 2023.
Abstract | Links | BibTeX | Tags: 2023, geriatric, patient, simulation, vgp, Virtual Human
@article{wang2023scopingreview,
title = {A scoping review of the use of lab streaming layer framework in virtual and augmented reality research},
author = {Qile Wang and Qinqi Zhang and Weitong Sun and Chadwick Boulay and Kangsoo Kim and Roghayeh Leila Barmaki},
doi = {https://doi.org/10.1007/s10055-023-00799-8},
year = {2023},
date = {2023-05-02},
urldate = {2023-05-02},
journal = {Virtual Reality},
abstract = {The use of multimodal data allows excellent opportunities for human–computer interaction research and novel techniques regarding virtual and augmented reality (VR/AR) experiences. Collecting, coordinating, and synchronizing a large amount of data from multiple VR/AR hardware while maintaining a high framerate can be a daunting task, despite the compelling nature of multimodal data. The Lab Streaming Layer (LSL) is an open-source framework that enables the synchronous collection of various types of multimodal data, unlike existing expensive alternatives. However, despite its potential, this framework has not been fully adopted by the VR/AR research community. In this paper, we present a guideline of the LSL framework’s use in VR/AR research as well as report current trends by performing a comprehensive literature review on the subject. We extract 549 publications using LSL from January 2015 to March 2022. We analyze types of data, displays, and targeted application areas. We describe in-depth reviews of 38 selected papers and provide use of LSL in the VR/AR research community while highlighting benefits, challenges, and future opportunities.},
keywords = {2023, geriatric, patient, simulation, vgp, Virtual Human},
pubstate = {published},
tppubtype = {article}
}
The use of multimodal data allows excellent opportunities for human–computer interaction research and novel techniques regarding virtual and augmented reality (VR/AR) experiences. Collecting, coordinating, and synchronizing a large amount of data from multiple VR/AR hardware while maintaining a high framerate can be a daunting task, despite the compelling nature of multimodal data. The Lab Streaming Layer (LSL) is an open-source framework that enables the synchronous collection of various types of multimodal data, unlike existing expensive alternatives. However, despite its potential, this framework has not been fully adopted by the VR/AR research community. In this paper, we present a guideline of the LSL framework’s use in VR/AR research as well as report current trends by performing a comprehensive literature review on the subject. We extract 549 publications using LSL from January 2015 to March 2022. We analyze types of data, displays, and targeted application areas. We describe in-depth reviews of 38 selected papers and provide use of LSL in the VR/AR research community while highlighting benefits, challenges, and future opportunities.
2017
Salam Daher, Kangsoo Kim, Myungho Lee, Ryan Schubert, Gerd Bruder, Jeremy Bailenson, Gregory Welch
Effects of Social Priming on Social Presence with Intelligent Virtual Agents Conference
ACM Intelligent Virtual Agents, Stockholm, Sweden, 2017.
Abstract | Links | BibTeX | Tags: Co-presence, Intelligent Virtual Agent, Social presence, Social Priming, Virtual Human
@conference{daher2017effects,
title = {Effects of Social Priming on Social Presence with Intelligent Virtual Agents},
author = {Salam Daher and Kangsoo Kim and Myungho Lee and Ryan Schubert and Gerd Bruder and Jeremy Bailenson and Gregory Welch},
url = {https://link.springer.com/chapter/10.1007/978-3-319-67401-8_10},
doi = {10.1007/978-3-319-67401-8_10},
year = {2017},
date = {2017-04-01},
urldate = {2017-04-01},
booktitle = {ACM Intelligent Virtual Agents},
pages = {87-100},
address = {Stockholm, Sweden},
abstract = {This paper explores whether witnessing an Intelligent Virtual Agent (IVA) in what appears to be a socially engaging discussion with a Confederate Virtual Agent (CVA) prior to a direct interaction, can prime a person to feel and behave more socially engaged with the IVA in a subsequent interaction. To explore this social priming phenomenon, we conducted an experiment in which participants in a control group had no priming while those in an experimental group were briefly exposed to an engaging social interaction between an IVA and a nearby CVA (i.e. a virtual actor). The participants primed by exposure to the brief CVA-IVA interaction reported being significantly more excited and alert, perceiving the IVA as more responsive, and showed significantly higher measures of Co-Presence, Attentional Allocation, and Message Understanding dimensions of social presence for the IVA, compared to those who were not primed.},
keywords = {Co-presence, Intelligent Virtual Agent, Social presence, Social Priming, Virtual Human},
pubstate = {published},
tppubtype = {conference}
}
This paper explores whether witnessing an Intelligent Virtual Agent (IVA) in what appears to be a socially engaging discussion with a Confederate Virtual Agent (CVA) prior to a direct interaction, can prime a person to feel and behave more socially engaged with the IVA in a subsequent interaction. To explore this social priming phenomenon, we conducted an experiment in which participants in a control group had no priming while those in an experimental group were briefly exposed to an engaging social interaction between an IVA and a nearby CVA (i.e. a virtual actor). The participants primed by exposure to the brief CVA-IVA interaction reported being significantly more excited and alert, perceiving the IVA as more responsive, and showed significantly higher measures of Co-Presence, Attentional Allocation, and Message Understanding dimensions of social presence for the IVA, compared to those who were not primed.