AffectAura: an intelligent system for emotional memory

By Daniel J. McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski. International Conference on Human Factors in Computing Systems, 2012

298 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/5a8e023c92045ed64694c3b2da433c758fd15947

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Rana El Kaliouby
2. Daniel J. McDuff

In Experimental and Cognitive Psychology

1. Adrian Basarab
2. Rana El Kaliouby
3. Daniel J. McDuff
4. Asier Aztiria
5. Ane Alberdi
6. Rosalind W. Picard

Citations in the corpus

• Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review (2016, methodology): “It is linearly related to arousal [37] and it has been widely used in stress and emotion detection [21,30,38,50].”
• Personal Visualization and Personal Visual Analytics (2015, methodology): “…the researcher [9] Settings In what situation the tool is used and how it is used personal Personal laptop (mostly non-mobile but used by oneself) [65] domestic Ambient display at home (mostly non-mobile) [32] mobile Used on a mobile phone while on-the-go [31] shared Visualization of physical…”
• Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016, unknown): “Building off our methods, reflective interventions could also be designed to reveal longitudinal trends relating to specific markers of suicide ideation; for instance, to identify time periods of anomalous patterns, which are known to be otherwise difficult for individuals to keep track of [45].”
• Progressive Disclosure: Designing for Effective Transparency (2018, background): “Our focus is on how users interact with an intelligent personal informatics systems which are being increasingly deployed within commercial [83–85] and research domains [7,25,35,52,52,82].”
• Mood measurement with Pick-A-Mood: review of current methods and design of a pictorial self-report scale (2016, unknown): “In addition, mood measurement techniques are increasingly applied in domains such as health (e.g., McDuff et al., 2012) and communication (e.g., Church et al., 2010).”
• AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit (2016, background): “Life-logging tools and devices that help track emotions would be very useful [5,7,9] and would provide a way of linking lifestyle patterns to changes in mood.”