The Greeting Machine: An Abstract Robotic Object for Opening Encounters

Anderson-Bashan, Lucy; Megidish, Benny; Erel, Hadas; Wald, Iddo Yehoshua; Hoffman, Guy; Zuckerman, Oren; Grishko, Andrey

doi:10.1109/roman.2018.8525516

Cited by 59 publications

(43 citation statements)

References 37 publications

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“…It may also be that animation principles must be combined to get a noticeable effect. Participants in a study of a greeting robot that used a straight movement versus movement based on the animation principle of arcs did not mention any difference between these two types of movements in their interviews [22]. Further research is needed to see how combining principles can lead to noticeable effects and if the noticeable effects are desired in a robot's design.…”

Section: B Examining the Scenariomentioning

confidence: 99%

Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task

Schulz

Holthaus

Amirabdollahian

et al. 2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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We investigated how a robot moving with different velocity profiles affects a person's perception of it when working together on a task. The two profiles are the common linear profile and a profile based on the animation principles of slow in, slow out. The investigation was accomplished by running an experiment in a home context where people and the robot cooperated on a clean-up task. We used the Godspeed series of questionnaires to gather people's perception of the robot. Average scores for each series appear not to be different enough to reject the null hypotheses, but looking at the component items provides paths to future areas of research. We also discuss the scenario for the experiment and how it may be used for future research into using animation techniques for moving robots and improving the legibility of a robot's locomotion.

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Section: B Examining the Scenariomentioning

confidence: 99%

Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task

Schulz

Holthaus

Amirabdollahian

et al. 2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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“…To illustrate this point, we collected a series of HRI artifacts and grouped them into commercial robotic platforms (Figure 2 These sometimes literally stick to the ideals of robots as tools (see D) or, most of times, replicate the complexity and features of humans and other living agents, as these are uniquely effective ways to achieve successful HRI. Conversely, robotic artifacts developed in a research content, such as Kip1 (J) [34], The Greeting Machine (K) [70], or Micbot (H) [71], challenge assumptions of what the look and purpose of a social robot should be. For instance, Cellulo (G) [72] demonstrates how learning with robots does not necessarily imply replacing human teachers.…”

Section: A Call For Conceptual Investigationsmentioning

confidence: 99%

Designerly Ways of Knowing in HRI

Lupetti

Zaga

Cila

2021

Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

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Interest in design methods and tools has been steadily growing in HRI. Yet, design is not acknowledged as a discipline with specific epistemology and methodology. Designerly HRI work is validated through user studies which, we argue, provide a limited account of the knowledge design produces. This paper aims to broaden current understanding of designerly HRI work and its contributions by unpacking what designerly knowledge is and how to produce it. Through a critical analysis of current HRI design literature, we identify a lack of work dedicated to understanding the conceptual implications of robotic artifacts. These, in fact, are implicit carriers of crucial HRI knowledge that can challenge established assumptions about how a robot should look, act, and be like. We conclude by discussing a set of practices desirable to legitimize designerly HRI work, and calling for further research addressing the conceptual implications designerly HRI work.

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“…Most of the movements are pretending to mime as much as possible the analogous movements in humans [51•], with possible limitations given by the mechanical implementation of joints, usually different from the biological ones, which bring to inconsistency, mostly in movements (uncanny valley [25]). It is possible to exploit bioinspired movements also in non-bioinspired robot bodies [52][53][54], obtaining recognizable expressions [55], as it was studied for cartoon animation [56][57][58].…”

Section: The Sight Channel: Light and More Visual Interaction: Robot mentioning

confidence: 99%

Communication in Human-Robot Interaction

Bonarini

2020

Curr Robot Rep

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Purpose of Review To present the multi-faceted aspects of communication between robot and humans (HRI), putting in evidence that it is not limited to language-based interaction, but it includes all aspects that are relevant in communication among physical beings, exploiting all the available sensor channels. Recent Findings For specific purposes, machine learning algorithms could be exploited when data sets and appropriate algorithms are available. Summary Together with linguistic aspects, physical aspects play an important role in HRI and make the difference with respect to the more limited human-computer interaction (HCI). A review of the recent literature about the exploitation of different interaction channels is presented. The interpretation of signals and the production of appropriate communication actions require to consider psychological, sociological, and practical aspects, which may affect the performance. Communication is just one of the functionalities of an interactive robot and, as all the others, will need to be benchmarked to support the possibility for social robots to reach a real market.

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The Greeting Machine: An Abstract Robotic Object for Opening Encounters

Cited by 59 publications

References 37 publications

Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task

Differences of Human Perceptions of a Robot Moving using Linear or Slow in, Slow out Velocity Profiles When Performing a Cleaning Task

Designerly Ways of Knowing in HRI

Communication in Human-Robot Interaction

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