Ubiquitous emotion-aware computing

Broek, Egon L. van den

doi:10.1007/s00779-011-0479-9

Cited by 79 publications

(30 citation statements)

References 98 publications

(198 reference statements)

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“…SAM is widely used in psychological experiments (e.g. van den Broek 2013). It applies the dimensional model to represent human emotion, using three dimensions to construct affective space: valence; arousal; and dominance.…”

Section: Apparatusmentioning

confidence: 99%

Enacting archetypes in movies: grounding the unconscious mind in emotion-driven media

et al. 2014

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The concept of emotion-driven media integrates affective computing into developing new types of digital media by including the human spectator as an essential part of the whole system. Enactive media, as a landmark in this direction, provides a theoretical basis that is rooted in the enactivist approach in cognitive science. Based on this thesis, it is required to establish a practical procedure for developing the media content through integrating psychological approaches. We demonstrate a systematic approach for developing the content for emotion-driven media. The theory of archetypes, one of the psychoanalytical approaches, was applied for editing movie clips as the media content, and coupled the content with emotional responses by using experimental psychological methodologies. The results showed that it is promising to utilise archetypal movie clips as the content of emotion-driven media and archetypal symbolism can be a useful resource for developing the content of media systems.

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Section: Apparatusmentioning

confidence: 99%

Enacting archetypes in movies: grounding the unconscious mind in emotion-driven media

et al. 2014

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“…In the pursuit of triggering emotions and stress in a more or less controlled manner, a range of methods have been applied, involving, for example, images [51], sounds (e.g., music [23,54]), (fragments of) movies [52,53], virtual reality [8], and real-world experiences [21,23]. However, how do we know what methods actually triggered participants' true emotions?…”

Section: Research Rationale: On the Validity Of Stress Assessmentmentioning

confidence: 99%

Cross-validation of bimodal health-related stress assessment

Broek

Sluis

Dijkstra

2011

Pers Ubiquit Comput

Self Cite

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This study explores the feasibility of objective and ubiquitous stress assessment. 25 post-traumatic stress disorder patients participated in a controlled storytelling (ST) study and an ecologically valid reliving (RL) study. The two studies were meant to represent an early and a late therapy session, and each consisted of a ''happy'' and a ''stress triggering'' part. Two instruments were chosen to assess the stress level of the patients at various point in time during therapy: (i) speech, used as an objective and ubiquitous stress indicator and (ii) the subjective unit of distress (SUD), a clinically validated Likert scale. In total, 13 statistical parameters were derived from each of five speech features: amplitude, zero-crossings, power, highfrequency power, and pitch. To model the emotional state of the patients, 28 parameters were selected from this set by means of a linear regression model and, subsequently, compressed into 11 principal components. The SUD and speech model were cross-validated, using 3 machine learning algorithms. Between 90% (2 SUD levels) and 39% (10 SUD levels) correct classification was achieved. The two sessions could be discriminated in 89% (for ST) and 77% (for RL) of the cases. This report fills a gap between laboratory and clinical studies, and its results emphasize the usefulness of Computer Aided Diagnostics (CAD) for mental health care.

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“…In particular, a location-based system (LBS) providing many advantages by obtaining the object locations in real time has been widely applied in various fields such as medicine, mobiles, and agriculture [1]- [5]. The LBS can largely be classified into outdoor and indoor environments.…”

Section: Introductionmentioning

confidence: 99%

Improved Adaptive Smoothing Filter for Indoor Localization Using RSSI

Kim¹,

Seong²,

Ha³

et al. 2015

Journal of the Korean Society of Marine Engineering

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Abstract:In the indoor location estimation system, which has recently been actively studied, the received signal strength indicator contains a high level of noise when measuring the signal strength in the range between two nodes consisting of a receiver and a transceiver. To minimize the noise level, this paper proposes an improved adaptive smoothing filter that provides different exponential weights to the current value and previous averaged one of the data that were obtained from the nodes, because the characteristic signal attenuation of the received signal strength indicator generally has a log distribution. The proposed method can effectively decrease the noise level by using a feedback filter that can provide different weights according to the noise level of the obtained data and thus increase the accuracy in the distance and location without an additional filter such as the link quality indicator, which can verify the communication quality state to decrease the range errors in the indoor location recognition using ZigBee based on IEEE 802.15.4. For verifying the performance of the proposed improved adaptive smoothing filter, actual experiments are conducted in three indoor locations of different spatial sections. From the experimental results, it is verified that the proposed technique is superior to other techniques in range measurement.

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Ubiquitous emotion-aware computing

Cited by 79 publications

References 98 publications

Enacting archetypes in movies: grounding the unconscious mind in emotion-driven media

Enacting archetypes in movies: grounding the unconscious mind in emotion-driven media

Cross-validation of bimodal health-related stress assessment

Improved Adaptive Smoothing Filter for Indoor Localization Using RSSI

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