An Empirical Framework to Control Human Attention by Robot

Hoque, Mohammed Moshiul; Onuki, Tomami; Tsuburaya, Emi; Kobayashi, Yoshinori; Kuno, Yoshinori; Sato, Takayuki; Kodama, Sachiko

doi:10.1007/978-3-642-22822-3_43

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…Our previous study [11] has already verified predictions 1 and 2 through several experiments. Thus we mainly evaluate the attention shifting behaviors and overall attention control capability.…”

Section: Resultssupporting

confidence: 59%

“…Our previous work [11] confirmed that the robot's head motions attract human attention and eye blinking behaviors enable the human aware of making eye contact with the robot. In this paper, we focus on the attention shifting behaviors of robots after making eye contact.…”

Section: Introductionmentioning

confidence: 53%

“…In our previous study [11], we discussed four basic situations although there could be various other situations. In this paper, we consider only the situation in which the target person (H) is not paying his/her attention to any particular thing, just looking around by moving his/her head without any intention and the robot (R) tries to communicate with him/her.…”

Section: Introductionmentioning

confidence: 99%

“…Psychological studies also show that humans are more attentive toward robots if they appear to be interested in the people present [13]. We have presented that the robot's head motion is useful for attracting human attention [11]. In this paper, we also use the robot's head motion.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Controlling human attention through robot's gaze behaviors

Hoque

Onuki

Kobayashi

et al. 2011

2011 4th International Conference on Human System Interactions, HSI 2011

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Controlling someone's attention can be defined as shifting his/her attention from the existing direction to another. However, it is not easy task for a robot to shift a particular human's attention if they are not in face-to-face situation. If the robot would like to communicate a particular person, it should turn its gaze to that person and make eye contact to establish mutual gaze. However, only such a turning action is not enough to set up eye contact when the robot and the target person are not facing each other. Therefore, the robot should perform some actions so that it can attract the target person and meet their gaze. In this paper, we present a robot that can attract a target person's attention by moving its head, make eye contact through showing gaze awareness by blinking its eyes, and establish joint attention by repeating its head turns from the person and the target object. Experiments using twenty human participants confirm the effectiveness of the robot actions to control human attention.

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Section: Resultssupporting

confidence: 59%

Section: Introductionmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Controlling human attention through robot's gaze behaviors

Hoque

Onuki

Kobayashi

et al. 2011

2011 4th International Conference on Human System Interactions, HSI 2011

Self Cite

View full text Add to dashboard Cite

show abstract

“…In previous work, we demonstrated that a robot's head shaking actions can attracts human attention [17], and moreover that a robot can shift a human target's attention in a desired direction by using head directed cues [18]. However, we dealt only with cases involving a single person in general viewing conditions, and the success rate was limited due to the limitations of the robot's attention attraction and attention shift behaviors.…”

Section: Related Workmentioning

confidence: 96%

Model for controlling a target human's attention in multi-party settings

Hoque

Das

Onuki

et al. 2012

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

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It is a major challenge in HRI to design a social robot that is able to direct a target human's attention towards an intended direction. For this purpose, the robot may first turn its gaze to him/her in order to establish eye contact. However, such a turning action of the robot may not in itself be sufficient to make eye contact with the target person in all situations, especially when the robot and the person are not facing each other or the human is intensely engaged in a task. In this paper, we propose a conceptual model of attention control with five phases: attention attraction, eye contact, attention avoidance, gaze back, and attention shift. We conducted two experiments to validate our model in human-robot interaction scenarios.

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