Exploring the Usage of Commercial Bio-Sensors for Multitasking Detection

Salah, Jailan; Abdelrahman, Yomna; Abdrabou, Yasmeen; Khaled, Kassem,; Abdennadher, Slim

doi:10.1145/3282894.3282900

Cited by 6 publications

(2 citation statements)

References 42 publications

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“…Additionally, biometric sensors such as eye trackers in the context of socially assistive robotics can be used to gauge human attention [21]. Sensors such as eye trackers and thermal cameras are now available commercially and can be used to infer a variety of emotional states or responses [1,14,24].…”

Section: Transparencymentioning

confidence: 99%

This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots

Khaled¹,

Saad²

2023

Preprint

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Socially Assistive Robots (SARs) are robots that are designed to replicate the role of a caregiver, coach, or teacher, providing emotional, cognitive, and social cues to support a specific group. SARs are becoming increasingly prevalent, especially in elderly care. Effective communication, both explicit and implicit, is a critical aspect of human-robot interaction involving SARs. Intent communication is necessary for SARs to engage in effective communication with humans. Biometrics can provide crucial information about a person's identity or emotions. By linking these biometric signals to the communication of intent, SARs can gain a profound understanding of their users and tailor their interactions accordingly. The development of reliable and robust biometric sensing and analysis systems is critical to the success of SARs. In this work, we focus on four different aspects to evaluate the communication of intent involving SARs, existing works, and our outlook on future works and applications.

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Section: Transparencymentioning

confidence: 99%

This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots

Khaled¹,

Saad²

2023

Preprint

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“…Stress has been widely explored in many disciplines and for many purposes. While often the negative consequences are in the focus of media and societal discussions, research has been occupied with sensing stress [1,5,7,12,13]. Apart from medical stress detection approaches and work in human-computer interaction (HCI) deducing stress from, e.g.…”

Section: Introductionmentioning

confidence: 99%

Designing Thermal Feedback for Notifying Users About Stress

Poguntke

Ilk²,

Schmidt

et al. 2019

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters

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Though many new technologies have been adopted for stress detection, communicating stress to the users is still experienced primarily through visual or auditory channels. However, these commonly used feedback channels are already associated with smartphone notifications. Instead, we focus on thermal feedback yielding the advantage to preserve privacy due to its unobtrusiveness. By this work, we contribute an investigation of thermal feedback for notifying users about stress comprising the exploration of the preferred temperature level, rate of change, and body location. Accordingly, we compared different stimuli for each for those in a user study involving 21 participants. From their quantitative and qualitative feedback, we found that cold stimuli are preferred in general, showing that ± − 0.5 • C is the optimal rate of change and preferably when presented at the lower back. We conclude with discussing our findings from both the quantitative and qualitative data and finally present our research agenda paving the way for thermal feedback as a stress notifier. CCS CONCEPTS • Human-centered computing → HCI design and evaluation methods.

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