Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation

Baraka, Kim; Veloso, Manuela

doi:10.1007/s12369-017-0431-x

Cited by 74 publications

(49 citation statements)

References 24 publications

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“…Affective display, which represent emotional states. 4. Regulators, which control conversation flow.…”

Section: Nonverbal Non-facial and Non-humanoid Hrimentioning

confidence: 99%

“…Works exist which merge the two, such as Knight et al [15], which uses the motion of the robot to display the internal state and task state of the robot. A more straightforward example of an adapter, however, would be the work of Baraka et al [4], which displays information such as intended path using an array of expressive lights around the robot's body. Regulators are not well explored in non-humanoid robots, but some works such as [22] address the problem of how to initiate conversations.…”

Section: Regulators and Adaptersmentioning

confidence: 99%

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Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop

Fulton

Edge

Sattar

2019

2019 International Conference on Robotics and Automation (ICRA)

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In this paper, we propose a novel method for underwater robot-to-human communication using the motion of the robot as "body language". To evaluate this system, we develop simulated examples of the system's body language gestures, called kinemes, and compare them to a baseline system using flashing colored lights through a user study. Our work shows evidence that motion can be used as a successful communication vector which is accurate, easy to learn, and quick enough to be used, all without requiring any additional hardware to be added to our platform. We thus contribute to "closing the loop" for human-robot interaction underwater by proposing and testing this system, suggesting a library of possible body language gestures for underwater robots, and offering insight on the design of nonverbal robot-to-human communication methods.

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“…Affective display, which represent emotional states. 4. Regulators, which control conversation flow.…”

Section: Nonverbal Non-facial and Non-humanoid Hrimentioning

confidence: 99%

Section: Regulators and Adaptersmentioning

confidence: 99%

Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop

Fulton

Edge

Sattar

2019

2019 International Conference on Robotics and Automation (ICRA)

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“…However, it may also distract the user, and might be missed in the case of elderly people who may suffer from a decreased hearing [33]. Visual feedback suitable for remote humanrobot collaboration [29] could include LEDs to provide better understanding of the robot's state and actions [34]. Facial expression is an important mean of visual feedback in HRI [35], since it can provide useful information [35].…”

Section: Introductionmentioning

confidence: 99%

Robotic System for Physical Training of Older Adults

Avioz-Sarig

Olatunji

Sarne-Fleischmann

et al. 2020

Int J of Soc Robotics

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Physical exercise has many physical, psychological and social health benefits leading to improved life quality. This paper presents a robotic system developed as a personal coach for older adults aiming to motivate older adults to participate in physical activities. The robot instructs the participants, demonstrates the exercises and provides real-time corrective and positive feedback according to the participant’s performance as monitored by an RGB-D camera. Two robotic systems based on two different humanoid robots (Nao, toy-like and Poppy, mechanical-like) were developed and implemented using the Python programming language. Experimental studies with 32 older adults were conducted, to determine the preferable mode and timing of the feedback provided to the user to accommodate user preferences, motivate the users and improve their interaction with the system. Additionally, user preferences with regards to the two different humanoid robots used were explored. The results revealed that the system motivated the older adults to engage more in physical exercises. The type and timing of feedback influenced this engagement. Most of these older adults also perceived the system as very useful, easy to use, had a positive attitude towards the system and noted their intention to use it. Most users preferred the more mechanical looking robot (Poppy) over the toy-like robot (Nao).

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“…The robot itself should be designed to be well visible. Every time the robot courier moves, or is about to move, it should provide some form of feedback to the surrounding people (e.g., lights, sounds, user interface response) [94]. These adjustments will improve the people's interaction with the robot and secure a way to avoid physical damage.…”

Section: Ethics Considerations Stakeholders and Privacymentioning

confidence: 99%

Reframing HRI Design Opportunities for Social Robots: Lessons Learnt from a Service Robotics Case Study Approach Using UX for HRI

Khan

Germak

2018

Future Internet

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Over the last few decades, semi-autonomous machine’s technology started to promote awareness towards the importance of human–robot interaction (HRI) for improving daily activities. More affordable social robots are being commercially released and in order to implement viable applications of HRI, a combination human-computer interaction and user experience methodologies could play a pivotal role in assessing new scenarios and evaluating new investigations. However, literature shows that it is still challenging to reach an optimal user experience with robotic companions. The aim of the study was to determine the chance to enhance the user experience with a semi-autonomous social robot, using user experience and human–computer interaction methodologies. In this study, a social robotic companion has been developed and prototyped in order to be adopted in a specific public environment such as a company workspace. The challenges emerged from this peculiar environment triggered the need for a more productive and comfortable office for the employees, and, at the same time, the usability, acceptance and likeability of the robotic companion have been evaluated. The results emphasize that, since HRI is highly interdisciplinary, the benefits of combining approaches from other fields could positively benefit from a meaningful social interaction with the users.

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Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation

Cited by 74 publications

References 24 publications

Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop

Robot Communication Via Motion: Closing the Underwater Human-Robot Interaction Loop

Robotic System for Physical Training of Older Adults

Reframing HRI Design Opportunities for Social Robots: Lessons Learnt from a Service Robotics Case Study Approach Using UX for HRI

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