Welcoming Robot Behaviors for Drawing Attention

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

doi:10.1109/hri.2019.8673325

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…We investigate how the continuity of user attention to the robot is changed by the face-to-face contact in comparison with other motions. In contrast with a related work on drawing attention, a study conducted by Saad et al [26] modified a Pepper robot to enable it to wave, convey greetings, and move toward passersby, and investigated the rate of drawing attention according to each behavior. However, it did not verify the habituation effect; therefore, in this study, we investigate the continuity of drawing attention associated with robot motions.…”

Section: Long-term Experiments For Human-robot Interactionmentioning

confidence: 99%

Can a humanoid robot continue to draw attention in an office environment?

et al. 2020

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This study focuses on the use of humanoid robots in office environments, and investigates whether a robot can maintain the attention of passersby after initiation of face-to-face contact. Drawing attention can be considered as a first step in improving the continuity of use of robots; such continuity is one factor in validating their social acceptance, which must be considered when disseminating robots in offices. In this study, we assume that the robot approaches and greets users in order to make the users aware of its presence and encourage them to use it. In particular, the robots used in this study convey various greetings along with three nonverbal indicators (no motion, random motion, and face-to-face contact) when a passerby at the office is close to the robot. For a one-week period, we validated the social acceptance of the robot by examining how these robot motions influenced the rate and continuity of a passerby's attention. The results revealed that face-to-face contact can draw a high degree of attention, and that the presence of the robot affects the continuity with which attention is drawn. Finally, the paper discusses implications for future robot design, in terms of drawing and maintaining high rates of attention from users.

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Section: Long-term Experiments For Human-robot Interactionmentioning

confidence: 99%

Can a humanoid robot continue to draw attention in an office environment?

et al. 2020

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“…Most commonly, gaze behaviours are combined with gestures [32], proxemics ( [70], [73], [25]) or verbal behaviours [15]. Works combining other modalities ( [59], [56]), or comparing more than two or three modalities ( [10], [38]) are rare. There is also a large body of work comparing 'social' and 'non-social' robots (or affective / emotional / personalized robots).…”

Section: Multi-modal Social Behaviorsmentioning

confidence: 99%

How does Modality Matter? Investigating the Synthesis and Effects of Multi-modal Robot Behavior on Social Intelligence

Tatarian

Stower

Rudaz

et al. 2021

Int J of Soc Robotics

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Multi-modal behavior for social robots is crucial for the robot's perceived social intelligence, ability to communicate nonverbally, and the extent to which the robot can be trusted. However, most of the research conducted so far has been with only one modality, thus there is still a lack of understanding of the effect of each modality when performed in a multi-modal interaction. This study presents a multi-modal interaction focusing on the following modalities: proxemics for social navigation, gaze mechanisms (for turn-taking floor-holding, turn-yielding and joint attention), kinesics (for symbolic, deictic, and beat gestures), and social dialogue. The multi-modal behaviors were evaluated through an experiment with 105 participants in a seven minute interaction to analyze the effects on perceived social intelligence through both objective and subjective measurements. The results show various insights of the effect of modalities in a multi-modal interaction onto several behavioral outcomes of the users, including taking physical suggestions, distances maintained during the interaction, wave gestures performed in greeting and closing, back-channeling, and how socially the robot is treated, while having no effect on self-disclosure and subjective liking.

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“…We designed three behaviors by varying the level of enthusiasm using a basic greeting behavior (i.e., waving) that can be combined with two other greeting behaviors [14]. We then equipped a humanoid with the capabilities to act as a welcoming robot at the entrance of a building [18] and follow our proposed threestep model (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Enthusiastic Robots Make Better Contact

Saad

Broekens

Neerincx

et al. 2019

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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This paper presents the design and evaluation of human-like welcoming behaviors for a humanoid robot to draw the attention of passersby by following a three-step model: (1) selecting a target (person) to engage, (2) executing behaviors to draw the target's attention, and (3) monitoring the attentive response. A computer vision algorithm was developed to select the person, start the behaviors and monitor the response automatically. To vary the robot's enthusiasm when engaging passersby, a waving gesture was designed as basic welcoming behavioral element, which could be successively combined with an utterance and an approach movement. This way, three levels of enthusiasm were implemented: Mild (waving), moderate (waving and utterance) and high (waving, utterance and approach movement).The three levels of welcoming behaviors were tested with a Pepper robot at the entrance of a university building. We recorded data and observation sheets from several hundreds of passersby (N = 364) and conducted post-interviews with randomly selected passersby (N = 28). The level selection was done at random for each participant. The passersby indicated that they appreciated the robot at the entrance and clearly recognized its role as a welcoming robot. In addition, the robot proved to draw more attention when showing high enthusiasm (i.e., more welcoming behaviors), particularly for female passersby.

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Welcoming Robot Behaviors for Drawing Attention

Cited by 4 publications

References 3 publications

Can a humanoid robot continue to draw attention in an office environment?

Can a humanoid robot continue to draw attention in an office environment?

How does Modality Matter? Investigating the Synthesis and Effects of Multi-modal Robot Behavior on Social Intelligence

Enthusiastic Robots Make Better Contact

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