Involuntary postural responses of users as input to Attentive Computing Systems: An investigation on head movements

Dirican, Ahmet Cengizhan; Göktürk, Mehmet

doi:10.1016/j.chb.2012.04.002

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…The requirement for tracking is affected by involuntary human head movements. For example, when working in a desk environment, the involuntary head movements of a user focusing on a computer screen tend to be suppressed more when the cognitive load increases [9]. Because the user's eyes, head, and torso coordinate each other's movements, head movements may also be relatively limited since gaze motion can account for a cognitive task such as visual targeting [34].…”

Section: Discussion and Future Workmentioning

confidence: 99%

Beaming Displays

Itoh,

Kaminokado,

Aksit

2021

Preprint

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Fig. 1. Beaming Displays. Left: Our new optical layout decomposes a near-eye display design into two parts, an all passive light-weight wearable headset, and a remotely located projector, this decomposition effectively avoids trade-offs between ergonomics, computational and power requirements. Middle: We build a physical setup to demonstrate the possibilities with our optical layout. Right: We show experimentally that our design supports resolutions matching a consumer level near-eye display.

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Section: Discussion and Future Workmentioning

confidence: 99%

Beaming Displays

Itoh,

Kaminokado,

Aksit

2021

Preprint

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“…Some researchers have focused on assessing only a reduced set of basic emotions, in a manner similar to that used in the facial expression technique, in order to simplify the posture-based affect detection process (Calvo & D'Mello, 2010;Iovane et al, 2012;Luneski et al, 2010). Head movement as a postural response also has been used to estimate attentional mechanisms when monitoring users' cognitive engagement (Dirican & Göktürk, 2012).  Emotional vocal expressions.…”

Section: Detection Methods and Techniquesmentioning

confidence: 99%

Untitled

2015

Human Technology

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“…Arousal (Thayer, 1978) describes the level of physiological intensity that pertains to affective states and can be measured from physiological changes such as in skin conductance (Alexandratos et al, 2014), heart rate, and heart-rate dynamics (Li et al, 2020), such as heart-rate variability, eye tracking measures such as pupil dilation (Wang et al, 2018), as well as head movement (Cig et al, 2010). Other measures such as physical movement measured with motion tracking (Dirican and Göktürk, 2012) or vocal responses measured in audio recordings (Weninger et al, 2013) can be used to measure approach and avoidance behaviours, (Corr, 2013). These behaviours are typically inferred by action tendencies towards a stimulus source.…”

Section: Introductionmentioning

confidence: 99%

emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual Reality

Gnacek

Broulidakis

Mavridou

et al. 2022

Front. Virtual Real.

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Virtual Reality (VR) enables the simulation of ecologically validated scenarios, which are ideal for studying behaviour in controllable conditions. Physiological measures captured in these studies provide a deeper insight into how an individual responds to a given scenario. However, the combination of the various biosensing devices presents several challenges, such as efficient time synchronisation between multiple devices, replication between participants and settings, as well as managing cumbersome setups. Additionally, important salient facial information is typically covered by the VR headset, requiring a different approach to facial muscle measurement. These challenges can restrict the use of these devices in laboratory settings. This paper describes a solution to this problem. More specifically, we introduce the emteqPRO system which provides an all-in-one solution for the collection of physiological data through a multi-sensor array built into the VR headset. EmteqPRO is a ready to use, flexible sensor platform enabling convenient, heterogenous, and multimodal emotional research in VR. It enables the capture of facial muscle activations, heart rate features, skin impedance, and movement data—important factors for the study of emotion and behaviour. The platform provides researchers with the ability to monitor data from users in real-time, in co-located and remote set-ups, and to detect activations in physiology that are linked to arousal and valence changes. The SDK (Software Development Kit), developed specifically for the Unity game engine enables easy integration of the emteqPRO features into VR environments.Code available at: (https://github.com/emteqlabs/emteqvr-unity/releases)

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Involuntary postural responses of users as input to Attentive Computing Systems: An investigation on head movements

Cited by 7 publications

References 29 publications

Beaming Displays

Beaming Displays

Untitled

emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual Reality

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