Outputs (44)

Elements of humor: How humans perceive verbal and non-verbal aspects of humorous robot behavior (2017)
Presentation / Conference Contribution
Mirnig, N., Stollnberger, G., Giuliani, M., & Tscheligi, M. (2017, March). Elements of humor: How humans perceive verbal and non-verbal aspects of humorous robot behavior. Paper presented at ACM/IEEE International Conference on Human-Robot Interaction 2017, Vienna, Austria

We performed a preliminary online survey to explore if verbal and non-verbal robot humor elements influence how humans rate a robot's funniness. The video-based survey comprised four conditions, each showing a short clip of a NAO robot in a receptio... Read More about Elements of humor: How humans perceive verbal and non-verbal aspects of humorous robot behavior.

Industrial human-robot interaction: Creating personas for augmented reality supported robot control and teaching (2017)
Presentation / Conference Contribution
Stadler, S., Mirnig, N., Giuliani, M., Tscheligi, M., Materna, Z., & Kapinus, M. (2017, March). Industrial human-robot interaction: Creating personas for augmented reality supported robot control and teaching. Paper presented at ACM/IEEE International Conference on Human-Robot Interaction 2017, Vienna, Austria

In strong cooperation with small and medium-sized enterprises (SMEs), we research the simplification of industrial robot online-programming. For that, we extend existing programming interfaces with augmented reality (AR) technology. We proactively us... Read More about Industrial human-robot interaction: Creating personas for augmented reality supported robot control and teaching.

Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability (2016)
Presentation / Conference Contribution
Mirnig, N., Stadler, S., Stollnberger, G., Giuliani, M., & Tscheligi, M. (2016). Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability. . https://doi.org/10.1109/ROMAN.2016.7745106

© 2016 IEEE. Humor in robotics is a promising, though not yet significantly researched topic. We performed a user study exploring two different kinds of laughter. In our study, participants observed a robot-robot interaction where an iCat and a NAO r... Read More about Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability.

Augmented reality for industrial robot programmers: Workload analysis for task-based, augmented reality-supported robot control (2016)
Presentation / Conference Contribution
Stadler, S., Kain, K., Giuliani, M., Mirnig, N., Stollnberger, G., & Tscheligi, M. (2016). Augmented reality for industrial robot programmers: Workload analysis for task-based, augmented reality-supported robot control. . https://doi.org/10.1109/ROMAN.2016.7745108

© 2016 IEEE. Augmented reality (AR) can serve as a tool to provide helpful information in a direct way to industrial robot programmers throughout the teaching process. It seems obvious that AR support eases the programming process and increases the p... Read More about Augmented reality for industrial robot programmers: Workload analysis for task-based, augmented reality-supported robot control.

User requirements for a medical robotic system: Enabling doctors to remotely conduct ultrasonography and physical examination (2016)
Presentation / Conference Contribution
Moser, C., Stollnberger, G., Christiane, M., Giuliani, M., Stadler, S., Tscheligi, M., …Stanczyk, B. (2016). User requirements for a medical robotic system: Enabling doctors to remotely conduct ultrasonography and physical examination. . https://doi.org/10.1109/ROMAN.2016.7745254

© 2016 IEEE. We report the results of a user requirements analysis for a medical robotic system that enables doctors to remotely conduct ultrasonography and physical examination on patients. As there are three different user groups in this scenario -... Read More about User requirements for a medical robotic system: Enabling doctors to remotely conduct ultrasonography and physical examination.

Designing user interfaces for different user groups: A three-way teleconference system for doctors, patients and assistants using a Remote Medical robot (2016)
Presentation / Conference Contribution
Zarczuk, R., Kreczmer, B., Wysokinski, A., Stollnberger, G., Giuliani, M., Mirnig, N., …Andrzej, W. (2016). Designing user interfaces for different user groups: A three-way teleconference system for doctors, patients and assistants using a Remote Medical robot. . https://doi.org/10.1109/ROMAN.2016.7745181

© 2016 IEEE. We present the design for a three-way medical teleconference system for communication between a doctor, a patient, and an assistant. The system includes individual doctor-patient and doctor-assistant communication channels, as well as th... Read More about Designing user interfaces for different user groups: A three-way teleconference system for doctors, patients and assistants using a Remote Medical robot.

Control of mobile robot for remote medical examination: Design concepts and users' feedback from experimental studies (2016)
Presentation / Conference Contribution
Wysokinski, A., Szczesniak-Stanczyk, D., Cholewinski, M., Drwiega, M., Arent, K., Jakubiak, J., …Wysokiński, A. (2016). Control of mobile robot for remote medical examination: Design concepts and users' feedback from experimental studies. . https://doi.org/10.1109/HSI.2016.7529612

© 2016 IEEE. In this article we discuss movement control of a ReMeDi medical mobile robot from the user perspective. The control is essentially limited to the level of operator actions where the operator is a member of a nursing staff. Two working mo... Read More about Control of mobile robot for remote medical examination: Design concepts and users' feedback from experimental studies.

Systematic analysis of video data from different human-robot interaction studies: A categorisation of social signals during error situations (2015)
Journal Article
Giuliani, M., Mirnig, N., Stollnberger, G., Stadler, S., Buchner, R., & Tscheligi, M. (2015). Systematic analysis of video data from different human-robot interaction studies: A categorisation of social signals during error situations. Frontiers in Psychology, 6(931), https://doi.org/10.3389/fpsyg.2015.00931

Human–robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal soci... Read More about Systematic analysis of video data from different human-robot interaction studies: A categorisation of social signals during error situations.

Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination (2015)
Presentation / Conference Contribution
Wu, D., Chen, G., Clarke, D., Weikersdorfer, D., Giuliani, M., Gaschler, A., & Knoll, A. (2015). Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination. Lecture Notes in Artificial Intelligence, 8925, 608-622. https://doi.org/10.1007/978-3-319-16178-5_43

© Springer International Publishing Switzerland 2015. We describe in this paper our gesture detection and recognition system for the 2014 ChaLearn Looking at People (Track 3: Gesture Recognition) organized by ChaLearn in conjunction with the ECCV 201... Read More about Multi-modality gesture detection and recognition with un-supervision, randomization and discrimination.

Ghost-in-the-Machine reveals human social signals for human-robot interaction (2015)
Journal Article
Loth, S., Jettka, K., Giuliani, M., & De Ruiter, J. P. (2015). Ghost-in-the-Machine reveals human social signals for human-robot interaction. Frontiers in Psychology, 6(NOV), https://doi.org/10.3389/fpsyg.2015.01641

© 2015 Loth, Jettka, Giuliani and de Ruiter. We used a new method called "Ghost-in-the-Machine" (GiM) to investigate social interactions with a robotic bartender taking orders for drinks and serving them. Using the GiM paradigm allowed us to identify... Read More about Ghost-in-the-Machine reveals human social signals for human-robot interaction.