Projective testing of diurnal collective emotion

Projective tests are personality tests that reveal individuals' emotions (e.g., Rorschach inkblot test). Unlike direct question-based tests, projective tests rely on ambiguous stimuli to evoke responses from individuals. In this paper we develop one such test, designed to be delivered automatically, anonymously and to a large community through public displays. Our work makes a number of contributions. First, we develop and validate in controlled conditions a quantitative projective test that can reveal emotions. Second, we demonstrate that this test can be deployed on a large scale longitudinally: we present a four-week deployment in our university's public spaces where 1431 tests were completed anonymously by passers-by. Third, our results reveal strong diurnal rhythms of emotion consistent with results we obtained independently using the Day Reconstruction Method (DRM), literature on affect, well-being, and our understanding of our university's daily routine.

[1]  Joshua M. Smyth,et al.  Daily Mood Variability: Form of Diurnal Patterns and Determinants of Diurnal Patterns , 1996 .

[2]  Andrew B. Whinston,et al.  Whose and what chatter matters? The effect of tweets on movie sales , 2013, Decis. Support Syst..

[3]  P. Lang International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .

[4]  K Sankaranarayanan,et al.  A population approach to the study of repair of genetic radiation damage in mature spermatozoa of Drosophila melanogaster. , 1974, Mutation research.

[5]  A. Atkinson,et al.  Evidence for distinct contributions of form and motion information to the recognition of emotions from body gestures , 2007, Cognition.

[6]  J. Exner,et al.  Basic foundations and principles of interpretation , 2003 .

[7]  Claire L. Roether,et al.  Critical features for the perception of emotion from gait. , 2009, Journal of vision.

[8]  J. Montepare,et al.  The identification of emotions from gait information , 1987 .

[9]  M. Bradley,et al.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential. , 1994, Journal of behavior therapy and experimental psychiatry.

[10]  TanTieniu,et al.  Silhouette Analysis-Based Gait Recognition for Human Identification , 2003 .

[11]  K. Scherer,et al.  Emotions in everyday life: probability of occurrence, risk factors, appraisal and reaction patterns , 2004 .

[12]  Jorge Gonçalves,et al.  Crowdsourcing on the spot: altruistic use of public displays, feasibility, performance, and behaviours , 2013, UbiComp.

[13]  Johan Bollen,et al.  Between Conjecture and Memento: Shaping A Collective Emotional Perception of the Future , 2008, AAAI Spring Symposium: Emotion, Personality, and Social Behavior.

[14]  J. Turner Human Emotions: A Sociological Theory , 2007 .

[15]  D. Lewalter Cognitive Strategies for Learning from Static and Dynamic Visuals , 2003 .

[16]  Nuria Oliver,et al.  A large-scale study of daily information needs captured in situ , 2014, TCHI.

[17]  Tieniu Tan,et al.  Silhouette Analysis-Based Gait Recognition for Human Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Regan L. Mandryk,et al.  A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies , 2007, Int. J. Hum. Comput. Stud..

[19]  K. Scherer,et al.  Bodily expression of emotion , 2009 .

[20]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[21]  Jorge Gonçalves,et al.  Situated crowdsourcing using a market model , 2014, UIST.

[22]  Michael J. Stones,et al.  Age Differences in Mood: Structure, Mean Level, and Diurnal Variation , 1994, Canadian Journal on Aging / La Revue canadienne du vieillissement.

[23]  P. Ekman,et al.  Constants across cultures in the face and emotion. , 1971, Journal of personality and social psychology.

[24]  Jorge Gonçalves,et al.  What makes you click: exploring visual signals to entice interaction on public displays , 2013, CHI.

[25]  Javier Hernandez,et al.  Mood meter: counting smiles in the wild , 2012, UbiComp.

[26]  Ralph Gross,et al.  The CMU Motion of Body (MoBo) Database , 2001 .

[27]  D. Kahneman,et al.  A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method , 2004, Science.

[28]  Hillary Anger Elfenbein,et al.  Reading your Counterpart: The Benefit of Emotion Recognition Accuracy for Effectiveness in Negotiation , 2006 .

[29]  Barry A. T. Brown,et al.  Into the wild: challenges and opportunities for field trial methods , 2011, CHI.

[30]  Scott A. Golder,et al.  Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures , 2011 .

[31]  Jukka Riekki,et al.  Exploring Civic Engagement on Public Displays , 2014 .

[32]  Martin Guha Popular Psychology: An Encyclopedia , 2005 .

[33]  J. Lönnqvist,et al.  Time patterns and seasonal mismatch in suicide , 2004, Acta psychiatrica Scandinavica.

[34]  Rosemary Flanagan,et al.  The Rorschach: A Comprehensive System (4th ed.) , 2006 .

[35]  Saqib Saeed User-Centric Technology Design for Nonprofit and Civic Engagements , 2016 .

[36]  J. Exner,et al.  The Rorschach : a comprehensive system , 1974 .

[37]  Karen L. Schmidt,et al.  Human facial expressions as adaptations: Evolutionary questions in facial expression research. , 2001, American journal of physical anthropology.

[38]  Jorge Gonçalves,et al.  Eliciting situated feedback: A comparison of paper, web forms and public displays , 2014, Displays.

[39]  B. Gelder Towards the neurobiology of emotional body language , 2006, Nature Reviews Neuroscience.

[40]  V. Surakka,et al.  Auditory Emotional Feedback Facilitates Human-Computer Interaction , 2002 .

[41]  Jorge Gonçalves,et al.  Game of words: tagging places through crowdsourcing on public displays , 2014, Conference on Designing Interactive Systems.

[42]  D. Levine,et al.  A neuropsychological theory of positive affect and its influence on cognition. , 1999, Psychological review.

[43]  C. Wood,et al.  Diurnal Changes in Perceptions of Energy and Mood , 1992, Journal of the Royal Society of Medicine.

[44]  T. Theorell,et al.  Influence of job strain and emotion on blood pressure in female hospital personnel during workhours. , 1993, Scandinavian journal of work, environment & health.

[45]  Kenneth N. Fortson,et al.  The diurnal pattern of on-the-job injuries , 2004 .

[46]  G. D'Alonzo,et al.  Medical chronobiology: concepts and applications. , 1993, The American review of respiratory disease.

[47]  C. Kirschbaum,et al.  Salivary cortisol in psychobiological research: an overview. , 1989, Neuropsychobiology.