Social playware with an enhanced reach for facilitating group interaction

Miura, Asaki; Isezaki, Takashi; Suzuki, Kenji

doi:10.1145/2468356.2468562

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…Unlike most existing lifelog systems, it logs a user's social interactions rather than her/his individual activities. While several wearable devices have been developed to log interpersonal proximity interactions [4,6,22,[42][43][44], ETL records the closest interpersonal interactions, i.e., touch. Figure 1b shows a user reviewing today's interpersonal touch interactions.…”

Section: Enhancedtouchlogmentioning

confidence: 99%

EnhancedTouchX

Hachisu

Bourreau

Suzuki

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Section: Enhancedtouchlogmentioning

confidence: 99%

EnhancedTouchX

Hachisu

Bourreau

Suzuki

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…For example, Microsoft Kinect, a relatively low-cost device, has competitive motion tracking performance to OptiTrack V100:R2 (Flex 3 before rebranded) in a certain condition (Chang et al, 2012;Dubois & Bresciani, 2018). Another technique could be to estimate individuals' relative positions based on radio field intensities (Messinger et al, 2019;Miura et al, 2013;Yamada et al, 2006). Although high-fidelity devices, such as OptiTrack, would be appropriate to examine the validity and reliability of group area, the use of alternative tools should also be considered for the dissemination of this index in applied and clinical fields.…”

Section: Discussionmentioning

confidence: 99%

Using tripartite group area as a measure of social interactions in pre-school children: A pilot study

et al. 2021

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This study aimed to measure tripartite group area using motion capture systems and investigated whether group area could be used as a measure of pre-school children’s social interactions. In Experiment 1, two typically developing girls and an adult staff member engaged in free play. In Experiment 2, two typically developing boys and two adult staff members played balloon volleyball. Both experiments had three types of measures: subjective evaluation of whether participants played together, social behaviours (e.g. eye contact for Experiment 1 and balloon tosses for Experiment 2) and group area. Results showed that group area was significantly and negatively related to subjective evaluation in Experiment 2, whereas we observed no relationship between subjective evaluation and group area in Experiment 1. Overall, however, only a low correlation was observed between subjective evaluation and group area in Experiment 2. Furthermore, there were strong sequential associations between subjective evaluation and social behaviour, rather than between subjective evaluation and group area. Although group area as an index of social interactions is less accurate than behavioural data directly observed by humans, it may be worth using as a low-cost preliminary measure, since it can be automatically calculated using motion capture systems.

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“…To measure F-formation and analyze social interaction, Setti et al developed a computer vision-based technique for individuating freestanding conversational groups in images [ 16 , 17 , 18 ]. Several wearable devices for measuring body (i.e., torso) position (i.e., orientation) have been developed using radio [ 19 , 20 ] and IR communication [ 21 , 22 , 23 ]. These technologies mainly measure torso position and orientation, which allow for analyzing social signals that shows a person’s willingness to join a group.…”

Section: Related Workmentioning

confidence: 99%

FaceLooks: A Smart Headband for Signaling Face-to-Face Behavior

Hachisu

Pan

Matsuda

et al. 2018

Sensors

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Eye-to-eye contact and facial expressions are key communicators, yet there has been little done to evaluate the basic properties of face-to-face; mutual head orientation behaviors. This may be because there is no practical device available to measure the behavior. This paper presents a novel headband-type wearable device called FaceLooks, used for measuring the time of the face-to-face state with identity of the partner, using an infrared emitter and receiver. It can also be used for behavioral healthcare applications, such as for children with developmental disorders who exhibit difficulties with the behavior, by providing awareness through the visual feedback from the partner’s device. Two laboratory experiments showed the device’s detection range and response time, tested with a pair of dummy heads. Another laboratory experiment was done with human participants with gaze trackers and showed the device’s substantial agreement with a human observer. We then conducted two field studies involving children with intellectual disabilities and/or autism spectrum disorders. The first study showed that the devices could be used in the school setting, observing the children did not remove the devices. The second study showed that the durations of children’s face-to-face behavior could be increased under a visual feedback condition. The device shows its potential to be used in therapy and experimental fields because of its wearability and its ability to quantify and shape face-to-face behavior.

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Social playware with an enhanced reach for facilitating group interaction

Cited by 10 publications

References 4 publications

EnhancedTouchX

EnhancedTouchX

Using tripartite group area as a measure of social interactions in pre-school children: A pilot study

FaceLooks: A Smart Headband for Signaling Face-to-Face Behavior

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