The Telepresence Robot in Universities: Between Subjectification and Unlinking

2018 ◽  
pp. 163-178
Author(s):  
Jean-Luc Rinaudo
Keyword(s):  
2021 ◽  
pp. 004723952110347
Author(s):  
Penny Thompson ◽  
Sarinporn Chaivisit

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.


2014 ◽  
Vol 7 (2) ◽  
pp. 103-119 ◽  
Author(s):  
Katherine M. Tsui ◽  
Adam Norton ◽  
Daniel J. Brooks ◽  
Eric McCann ◽  
Mikhail S. Medvedev ◽  
...  

Author(s):  
John Paulin Hansen ◽  
Alexandre Alapetite ◽  
Martin Thomsen ◽  
Zhongyu Wang ◽  
Katsumi Minakata ◽  
...  

Author(s):  
Hyelip Lee ◽  
Yeon-Ho Kim ◽  
Kwang-ku Lee ◽  
Dae-Keun Yoon ◽  
Bum-Jae You
Keyword(s):  

2020 ◽  
Author(s):  
Kimberly Zoder-Martell ◽  
Andrew Markelz ◽  
Margaret T. Floress ◽  
Heather A. Skriba ◽  
Laila E. N. Sayyah

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.


2021 ◽  
Author(s):  
Jittaboon Trichada ◽  
Traithep Wimonrut ◽  
Narongsak Tirasuntarakul ◽  
Thanacha Choopojcharoen ◽  
Bawornsak Sakulkueakulsuk

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