Exploring affective technologies for the classroom with the subtle stone

Constructive emotional experiences are strongly related to effective learning. Yet, it is challenging for teachers, researchers and students alike to understand the emotions experienced in the classroom setting. Advances in wireless and sensor technologies open up possibilities for better supporting emotions. However, little work has explored how affective technologies in the classroom might operate. This paper describes a study where 15 high school students used the Subtle Stone: a tangible technology designed to support students' active emotional communication in the classroom. We report on how the students used and experienced this technology, and the values they demonstrated through this use: flexibility, privacy, agency, voice and reflection. We conclude by examining future possibilities for affective technologies in the classroom.

[1]  Arthur C. Graesser,et al.  Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor , 2008, Intelligent Tutoring Systems.

[2]  Kristina Höök,et al.  In situ informants exploring an emotional mobile messaging system in their everyday practice , 2007, Int. J. Hum. Comput. Stud..

[3]  E. Goffman.  The Presentation of Self in Everyday Life , 1959 .

[4]  Rosalind W. Picard.  Affective Computing , 1997 .

[5]  Kirsten Boehner,et al.  Evaluating Affector: Co-Interpreting What “Works” , 2005 .

[6]  HöökKristina,et al.  In situ informants exploring an emotional mobile messaging system in their everyday practice , 2007 .

[7]  Geraldine Fitzpatrick,et al.  Teachers' and tutors' social reflection around SenseCam images , 2009, Int. J. Hum. Comput. Stud..

[8]  T. Goetz,et al.  Academic Emotions in Students' Self-Regulated Learning and Achievement: A Program of Qualitative and Quantitative Research , 2002 .

[9]  Elizabeth A. Linnenbrink,et al.  Achievement Goal Theory and Affect: An Asymmetrical Bidirectional Model , 2002 .

[10]  Kristina Höök,et al.  Interactional empowerment , 2008, CHI.

[11]  Paul Dourish,et al.  Affect: from information to interaction , 2005, Critical Computing.

[12]  Judith Good,et al.  Developing a novel interface for capturing self reports of affect , 2008, CHI Extended Abstracts.

[13]  Arthur C. Graesser,et al.  Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments , 2007, AIED.

[14]  Judith Good,et al.  Supporting affective communication in the classroom with the Subtle Stone , 2009, Int. J. Learn. Technol..

[15]  Kasia Muldner,et al.  Emotion Sensors Go To School , 2009, AIED.

[16]  Debra K. Meyer,et al.  Discovering Emotion in Classroom Motivation Research , 2002 .

[17]  Scotty D. Craig,et al.  Affect and learning: An exploratory look into the role of affect in learning with AutoTutor , 2004 .

[18]  Kristina Höök,et al.  The sensual evaluation instrument: developing an affective evaluation tool , 2006, CHI.

[19]  Gregory D. Abowd,et al.  Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging Service , 2005, UbiComp.

[20]  Kristina Höök,et al.  Affective diary: designing for bodily expressiveness and self-reflection , 2006, CHI Extended Abstracts.

[21]  Rob Reilly,et al.  Analytical Models of Emotions , Learning and Relationships : Towards an Affect-sensitive Cognitive Machine , 2001 .