Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andrew Cordar
dblp:44/9943
· DBLP profile ↗
6ranked-venue papers
3as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 3 first-authorArtificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
3 papers |
Collaborative and social computing · 43% Human-AI interaction · 35% Human-robot interaction · 12% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
computer-supported cooperative work |
0.5 | 2 | 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze Behavior · IEEE Trans. Vis. Comput. Graph. 2016 Teaming Up with Virtual Humans: How Other People Change Our Perceptions of and Behavior with Virtual Teammates · IEEE Trans. Vis. Comput. Graph. 2015 |
Collaborative and social computing
team training |
0.5 | 2 | 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze Behavior · IEEE Trans. Vis. Comput. Graph. 2016 Teaming Up with Virtual Humans: How Other People Change Our Perceptions of and Behavior with Virtual Teammates · IEEE Trans. Vis. Comput. Graph. 2015 |
Human-AI interaction › virtual agents
virtual human |
0.5 | 2 | 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze Behavior · IEEE Trans. Vis. Comput. Graph. 2016 Teaming Up with Virtual Humans: How Other People Change Our Perceptions of and Behavior with Virtual Teammates · IEEE Trans. Vis. Comput. Graph. 2015 |
Virtual and augmented reality
mixed reality |
0.3 | 1 | 2017 | Repeat after me: Using mixed reality humans to influence best communication practices · VR 2017 |
Human-AI interaction
communication skills training |
0.3 | 1 | 2017 | Repeat after me: Using mixed reality humans to influence best communication practices · VR 2017 |
Human-robot interaction › nonverbal communication
gaze behavior |
0.2 | 1 | 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze Behavior · IEEE Trans. Vis. Comput. Graph. 2016 |
Health and well-being technologies
medical simulation |
0.1 | 2 | 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze Behavior · IEEE Trans. Vis. Comput. Graph. 2016 Teaming Up with Virtual Humans: How Other People Change Our Perceptions of and Behavior with Virtual Teammates · IEEE Trans. Vis. Comput. Graph. 2015 |
Methods — techniques the papers use, named apart from their topics
simulation exercise · 0.6video coding · 0.2user study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Repeat after me: Using mixed reality humans to influence best communication practicesabstractIn the past few years, advances have been made on how mixed reality humans (MRHs) can be used for interpersonal communication skills training for medical teams; however, little research has looked at how MRHs can influence communication skills during training. One way to influence communication skills is to leverage MRHs as models of communication behavior. We created a mixed reality medical team training exercise designed to impact communication behaviors that are critical for patient safety. We recruited anesthesia residents to go through an operating room training exercise with MRHs to assess and influence residents' closed loop communication behaviors during medication administration. We manipulated the behavior of the MRHs to determine if the MRHs could influence the residents' closed loop communication behavior. Our results showed that residents' closed loop communications behaviors were influenced by MRHs. Additionally, we found there was a statistically significant difference between groups based on which MRH behavior residents observed. Because the MRHs significantly impacted how residents communicated in simulation, this work expands the boundaries for how VR can be used and demonstrates that MRHs could be used as tools to address complex communication dynamics in a team setting. Andrew Cordar, Adam Wendling, Casey White, Samsun (Sem) Lampotang, Benjamin Lok |
VR | 1 |
| 2016 | Do Variations in Agency Indirectly Affect Behavior with Others? An Analysis of Gaze BehaviorabstractIn a group setting, it is possible for attributes of one group member to indirectly affect how other group members are perceived. In this paper, we explore whether one group member's agency (e.g. if they are real or virtual) can indirectly affect behavior with other group members. We also consider whether variations in the agency of a group member directly affects behavior with that group member. To do so, we examined gaze behavior during a team training exercise, in which sixty-nine nurses worked with a surgeon and an anesthesiologist to prepare a simulated patient for surgery. The agency of the surgeon and the anesthesiologist were varied between conditions. Nurses' gaze behavior was coded using videos of their interactions. Agency was observed to directly affect behavior, such that participants spent more time gazing at virtual teammates than human teammates. However, participants continued to obey polite gaze norms with virtual teammates. In contrast, agency was not observed to indirectly affect gaze behavior. The presence of a second human did not affect participants' gaze behavior with virtual teammates. Andrew C. Robb, Andrea Kleinsmith, Andrew Cordar, Casey White, Samsun (Sem) Lampotang, Adam Wendling, Benjamin Lok |
IEEE Trans. Vis. Comput. Graph. | 3 |
| 2015 | Virtual Role-Models: Using Virtual Humans to Train Best Communication Practices for Healthcare Teams
Andrew Cordar, Andrew C. Robb, Adam Wendling, Samsun (Sem) Lampotang, Casey White, Benjamin Lok |
IVA | 1 |
| 2015 | Teaming Up with Virtual Humans: How Other People Change Our Perceptions of and Behavior with Virtual TeammatesabstractIn this paper we present a study exploring whether the physical presence of another human changes how people perceive and behave with virtual teammates. We conducted a study (n = 69) in which nurses worked with a simulated health care team to prepare a patient for surgery. The agency of participants' teammates was varied between conditions; participants either worked with a virtual surgeon and a virtual anesthesiologist, a human confederate playing a surgeon and a virtual anesthesiologist, or a virtual surgeon and a human confederate playing an anesthesiologist. While participants perceived the human confederates to have more social presence (p <; 0.01), participants did not preferentially agree with their human team members. We also observed an interaction effect between agency and behavioral realism. Participants experienced less social presence from the virtual anesthesiologist, whose behavior was less in line with participants' expectations, when a human surgeon was present. Andrew C. Robb, Andrew Cordar, Samsun (Sem) Lampotang, Casey White, Adam Wendling, Benjamin Lok |
IEEE Trans. Vis. Comput. Graph. | 2 |
| 2014 | Building Virtual Humans with Back Stories: Training Interpersonal Communication Skills in Medical Students
Andrew Cordar, Michael Borish, Adriana Foster, Benjamin Lok |
IVA | 1 |
| 2014 | A Qualitative Evaluation of Behavior during Conflict with an Authoritative Virtual Human
Andrew C. Robb, Casey White, Andrew Cordar, Adam Wendling, Samsun (Sem) Lampotang, Benjamin Lok |
IVA | 3 |