2009
DOI: 10.1007/978-3-642-02556-3_71
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iFeel_IM! Emotion Enhancing Garment for Communication in Affect Sensitive Instant Messenger

Abstract: Abstract. In the paper we are proposing a conceptually novel approach to reinforcing (intensifying) own feelings and reproducing (simulating) the emotions felt by the partner during online communication through specially designed system, iFeel_IM!. The core component, Affect Analysis Model, automatically sense nine emotions from text. The detected emotion is stimulated by innovative haptic devices (HaptiHeart, HaptiHug, HaptiTickler, HaptiCooler, and HaptiWarmer) integrated into iFeel_IM! The implemented syste… Show more

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Cited by 13 publications
(4 citation statements)
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“…iFeel_IM! [ 20 ] is an implemented system that can considerably enhance the emotionally immersive experience of real-time messaging, reinforcing (intensifying) own feelings and reproducing (simulating) the emotions felt by the partner during online communication through a specially designed system.…”
Section: Introductionmentioning
confidence: 99%
“…iFeel_IM! [ 20 ] is an implemented system that can considerably enhance the emotionally immersive experience of real-time messaging, reinforcing (intensifying) own feelings and reproducing (simulating) the emotions felt by the partner during online communication through a specially designed system.…”
Section: Introductionmentioning
confidence: 99%
“…Also, haptic telecommunication can increase the quality of a shared experience and enhance the intimacy felt towards the other person ( Takahashi et al, 2011 ) by intensifying the emotional displays from other (e.g., visual, auditory) modalities ( Knapp & Hall, 2010 ) and by conveying specific emotions ( Hertenstein et al, 2006 ). Recent technologies like HugMe ( Cha et al, 2009 ), iFeel_ IM ( Tsetserukou et al, 2009 ) and the Frebble ( Fig. 1 ; see also Toet et al, 2013 and ) therefore focus on the enhancement of social interactivity by enabling online communication programs (like MSN or Skype) to convey affective and intimate haptic messages.…”
Section: Introductionmentioning
confidence: 99%
“…In response, previous works have attempted to automatically visualize emotions on text-based interfaces by visualizing the emotion dynamics in a document (Liu et al, 2003), providing haptic feedback via wearable equipment (Tsetserukou et al, 2009), or changing font sizes according to recognized emotions (Yeo, 2008). However, these explorations were primarily developed based on rule-based emotion detectors, which were shown to perform significantly worse than machine-learning algorithms (Wu et al, 2006).…”
Section: Introductionmentioning
confidence: 99%