Welcoming Robot Behaviors for Drawing Attention

Saad, Elie; Neerincx, Mark A.; Hindriks, Koen V.

doi:10.1109/hri.2019.8673283

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…The greeting behavior was considered a basis because this is often used to get the attention of pedestrians (e.g., [32]). On the other hand, previous studies have demonstrated that emotional robots [33] and human-dependent robots [34], which are similar to the idea of in-trouble, can have a higher engagement with users.…”

Section: Hypothesismentioning

confidence: 99%

Behavioral Assessment of a Humanoid Robot When Attracting Pedestrians in a Mall

Okafuji

Ozaki

Baba

et al. 2022

Int J of Soc Robotics

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Research is currently being conducted on the use of robots as human labor support technology. In particular, the service industry needs to allocate more manpower, and it will be important for robots to support people. This study focuses on using a humanoid robot as a social service robot to convey information in a shopping mall, and the types of robot behaviors were analyzed. In order to convey the information, two processes must occur. Pedestrians must stop in front of the robot, and the robot must continue the engagement with them. For the purpose of this study, three types of autonomous robot behaviors were analyzed and compared in these processes in the experiment: greeting, in-trouble, dancing behaviors. After interactions were attempted with 5,000+ pedestrians, this study revealed that the in-trouble behavior can make pedestrians stop more and stay longer. In addition, in order to evaluate the effectiveness of the robot in a real environment, the comparative results between three robot behaviors and human advertisers revealed that (1) the results of the greeting and dancing behavior are comparable to those of the humans, and (2) the performance of the in-trouble behavior in providing information tasks is higher than that of all human advertisers. These findings demonstrate that the performance of robots is comparable to that of humans in providing information tasks in a limited environment; therefore, it is expected that service robots as a labor support technology will be able to perform well in the real world.

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Section: Hypothesismentioning

confidence: 99%

Behavioral Assessment of a Humanoid Robot When Attracting Pedestrians in a Mall

Okafuji

Ozaki

Baba

et al. 2022

Int J of Soc Robotics

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“…In other words, some view novelty as dangerous to “the validity of a given study,” which introduces the risk of “confounding the generated data” ( Smedegaard, 2019 , p. 412). This view does not encompass the full perspective of novelty, but the prevailing position towards novelty effects in HRI seems to be that novelty is something that declines and then “wears off” over time ( Leite et al, 2009 , 2013 ; Saad et al, 2019 ) and that novelty decreases in linear, inverse proportion to feelings of familiarity.…”

Section: College Student Stress and Well-beingmentioning

confidence: 99%

Novelty Experience in Prolonged Interaction: A Qualitative Study of Socially-Isolated College Students’ In-Home Use of a Robot Companion Animal

Abendschein

Edwards

2022

Front. Robot. AI

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Social distancing policies such as limits on public gatherings and contact with others were utilized around the world to slow the spread of COVID-19. Yet, decreased social interactions may also threaten people’s well-being. In this project, we sought to understand novelty-relevant experiences surrounding in-home companion robot pets for adults that were living in some degree of social isolation due to the COVID-19 pandemic. After 6-weeks of participants living with the robot companion, we conducted semi-structured interviews (N = 9) and six themes emerged from our iterative analysis (expectations versus reality, ontological comparisons, interactions, third-party influence, identity, and comfort). Findings suggest that novelty is a complex phenomenon consisting of various elements (i.e., imagined novelty, technology novelty, and relational novelty). Each component influences the user’s experience. Our findings also suggest that our understanding of novelty as a nonlinear resource may hold important implications for how we view human-robot relationships beyond initial encounters.

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“…Studies from several disciplines show that the more complex is the interaction, the more lengthily it is likely to capture attention [20]. For example, if a robot uses several modalities to interact with a human, it will attract human's attention more easily [21]. For instance, adding an auditory feedback to a visual task allows decreasing the level of distraction and, thus, decreasing the number of mistakes done par the user [22].…”

Section: Control and Measure Of Attention-distractionmentioning

confidence: 99%

MemoRob: Studying Robots Distractor Effects

Jost¹,

Pévédic²,

Grandgeorge³

et al. 2020

MMC_C

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MemoRob is a model about how to optimize the use of robots for learning. It is based on a list of each possible robotic source of distraction associated with its relevant effects according to its nature and to the target learning mode. While collecting the sources of distraction that the robotics literature provides, the instantiation method of pairing each source and each learning mode with the nature of the distraction as well as its distracting effects allows to consider how to remedy these effects of robotic distraction effects although still having the robotic input as a learning medium. In this article, we provide the motivations that led to the need for the MemoRob model, the list of sources and effects generated by the Human-Robot interaction that may interfere with learning situations, the learning modes described according to their processes and mechanisms and, finally, a set of predictions on whether a given robotic learning situations might promote attention or distraction.

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Welcoming Robot Behaviors for Drawing Attention

Cited by 7 publications

References 9 publications

Behavioral Assessment of a Humanoid Robot When Attracting Pedestrians in a Mall

Behavioral Assessment of a Humanoid Robot When Attracting Pedestrians in a Mall

Novelty Experience in Prolonged Interaction: A Qualitative Study of Socially-Isolated College Students’ In-Home Use of a Robot Companion Animal

MemoRob: Studying Robots Distractor Effects

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