Design the HCI Interface Through Prototyping for the Telepresence Robot Empowered Smart Lab

This study used the concept of shared affordance space to explore students’ perceptions of the use of a telepresence robot in a face-to-face classroom. Results from this qualitative pilot study suggest the telepresence robot has the potential to provide enough autonomy and agency for both the remote user and the in-class students to perceive a shared affordance space. Robot users and classmates use human pronouns to describe the robot user and discuss a process of adjusting to its presence. The physical configuration of the classroom can either facilitate or hinder this process. The research provides greater understanding of the experiences of students in a face-to-face classroom that includes remote students attending class using a telepresence robot. It can help educators design and implement these experiences in a way that creates a beneficial classroom experience for both in-class and remote learners.

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Iterative design of a semi-autonomous social telepresence robot research platform: a chronology

Intelligent Service Robotics ◽

10.1007/s11370-014-0148-8 ◽

2014 ◽

Vol 7 (2) ◽

pp. 103-119 ◽

Cited By ~ 11

Author(s):

Katherine M. Tsui ◽

Adam Norton ◽

Daniel J. Brooks ◽

Eric McCann ◽

Mikhail S. Medvedev ◽

...

Keyword(s):

Iterative Design ◽

Telepresence Robot ◽

Research Platform

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Head and gaze control of a telepresence robot with an HMD

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications - ETRA '18 ◽

10.1145/3204493.3208330 ◽

2018 ◽

Cited By ~ 6

Author(s):

John Paulin Hansen ◽

Alexandre Alapetite ◽

Martin Thomsen ◽

Zhongyu Wang ◽

Katsumi Minakata ◽

...

Keyword(s):

Gaze Control ◽

Telepresence Robot

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Designing the Appearance of a Telepresence Robot, M4K: A Case Study

Cultural Robotics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-42945-8_3 ◽

2016 ◽

pp. 33-43 ◽

Cited By ~ 1

Author(s):

Hyelip Lee ◽

Yeon-Ho Kim ◽

Kwang-ku Lee ◽

Dae-Keun Yoon ◽

Bum-Jae You

Keyword(s):

Telepresence Robot

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Putting Pressure: Influence of Telepresence Robot in Communication between Teleworking Boss and Subordinates

2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) ◽

10.1109/roman.2018.8525517 ◽

2018 ◽

Author(s):

Jianfeng Xu ◽

Emi Myodo ◽

Hideaki Kuzuoka ◽

Etsuko T. Harada

Keyword(s):

Telepresence Robot

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Technology to Facilitate Telehealth in Applied Behavior Analysis

10.31234/osf.io/nz5s7 ◽

2020 ◽

Author(s):

Kimberly Zoder-Martell ◽

Andrew Markelz ◽

Margaret T. Floress ◽

Heather A. Skriba ◽

Laila E. N. Sayyah

Keyword(s):

Behavior Analysis ◽

Applied Behavior Analysis ◽

Direct Observation ◽

Rapid Change ◽

Appropriate Technology ◽

Face To Face ◽

Telepresence Robot ◽

Behavior Analysts ◽

Web Camera ◽

Treatment Plans

Traditionally, center-based Applied Behavior Analysis (ABA) therapy is delivered in a face-to-face format across several sessions; however, given the recent COVID-19 pandemic, many behavior analysts practicing in ABA centers have temporarily been authorized to provide services using a telehealth model. This rapid change in service delivery has posed unique challenges for behavior analysts and families with loved ones who were receiving ABA services in centers or schools. Among one of the most pressing concerns is that behavior analysts commonly rely on direct observation of behavior to make data-based decisions regarding client treatment plans. The shift to a telehealth model in light of the COVID-19 pandemic requires behavior analysts to quickly adapt the manner in which many have been providing services. Although many behavior analysts may be familiar with various technologies, they may struggle to identify the benefits and limitations of each technology in terms of providing telehealth. Selecting an appropriate technology that allows behavior analysts to stay true to the science of behavior analysis is prudent. The purpose of this paper is to provide a review of some available technologies to support telehealth that will allow behavior analysts to conduct direct observation from a remote location. The three technologies reviewed are 1) web camera, 2) Swivl, and 3) telepresence robot. Features of these technologies will be described and compared including benefits and drawbacks of each (see Table 1). Sample task analyses for using each technology are also provided.

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