Enhancing Informal Learning Experiences with Affect-Aware Technologies

Although institutions of informal learning, such as museums, science centers, and zoos, seek to convey knowledge, they also seek to influence visitors’ interest, attitudes, and feelings about the topics they address. Upon entering an informal learning environment, visitors are surrounded by choices: they decide what to see, where to invest their time, and how long to stay. The quality of the experiences depends on many factors, including the content and design of the exhibits, the ability of exhibits to promote sustained engagement, and the nature of the conversations visitors have with each other and staff. To succeed, it is critical that visitors have meaningful experiences that simultaneously have educational value. In this chapter, we discuss the role of emotions during informal learning experiences and discuss how affect-aware technologies could be used to enhance cognitive and affective outcomes. Four potential application areas are presented for the use of affect- and user-sensing technologies: (1) automation of evaluation tasks for informal learning, (2) to spark visitor interest and magnify the attracting power of exhibits, (3) to deepen engagement during learning activities, and (4) to promote productive conversational behaviors in groups as well as single visitors (with virtual agents). Key challenges for the future include the development of robust detection algorithms for noisy environments like museums, addressing privacy concerns, tracking visitors beyond single exhibits, and integrating heterogeneous sources of information into useful estimates of visitors’ knowledge, emotions, and goals.

[1]  Arthur C. Graesser,et al.  A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning , 2010, Intelligent Tutoring Systems.

[2]  Bronwyn Bevan A Review of “What Makes Learning Fun?: Principles for the Design of Intrinsically Motivating Museum Exhibits” , 2013 .

[3]  R. Dixon,et al.  Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? , 1999, Psychology and aging.

[4]  Trevor Darrell,et al.  Contextual recognition of head gestures , 2005, ICMI '05.

[5]  K. A. Ericsson,et al.  Science Current Directions in Psychological of Expert and Exceptional Performance Capturing the Naturally Occurring Superior Performance of Experts in the Laboratory : toward a Science on Behalf Of: Association for Psychological Science , 2022 .

[6]  Friedrich W. Hesse,et al.  Supporting information processing in museums with adaptive technology , 2007 .

[7]  V. Shute,et al.  Adaptive Technologies for Training and Education: Adaptive Educational Systems , 2012 .

[8]  R. Sawyer The Cambridge Handbook of the Learning Sciences: Introduction , 2014 .

[9]  Stephen Bitgood Museum Fatigue: A Critical Review , 2009 .

[10]  Michael Shortland,et al.  No business like show business , 1987, Nature.

[11]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.

[12]  P. Greenwood Functional plasticity in cognitive aging: review and hypothesis. , 2007, Neuropsychology.

[13]  H. Chad Lane,et al.  Intelligent Tutoring and Pedagogical Experience Manipulation in Virtual Learning Environments , 2009 .

[14]  I. Blanchette,et al.  The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning , 2010 .

[15]  P. Kuhl,et al.  The Cambridge Handbook of the Learning Sciences: Foundations and Opportunities for an Interdisciplinary Science of Learning , 2005 .

[16]  Theano Moussouri Family agendas and family learning in hands-on museums , 1997 .

[17]  Sherry Hsi,et al.  RFID enhances visitors' museum experience at the Exploratorium , 2005, CACM.

[18]  Judy Kay,et al.  Lifelong Learner Modeling for Lifelong Personalized Pervasive Learning , 2008, IEEE Transactions on Learning Technologies.

[19]  H. Chad Lane,et al.  Intelligent Tutoring Goes to the Museum in the Big City: A Pedagogical Agent for Informal Science Education , 2011, AIED.

[20]  Andrew J. Martin,et al.  Brief approaches to assessing task absorption and enhanced subjective experience: Examining ‘short’ and ‘core’ flow in diverse performance domains , 2008 .

[21]  J. Falk,et al.  Lessons Without Limit: How Free-Choice Learning Is Transforming Education , 2002 .

[22]  S. Christenson,et al.  Handbook of Research on Student Engagement , 2012 .

[23]  Gerald S. Craig,et al.  Learning with science , 1961 .

[24]  Nicole Fruehauf Flow The Psychology Of Optimal Experience , 2016 .

[25]  Beverly Park Woolf,et al.  A Roadmap for Education Technology , 2011 .

[26]  Arthur C. Graesser,et al.  Automatic detection of learner’s affect from conversational cues , 2008, User Modeling and User-Adapted Interaction.

[27]  Paulette M. McManus,et al.  Good companions: More on the social determination of learning‐related behaviour in a science museum , 1988 .

[28]  G. Hein Learning Science in Informal Environments: People, Places, and Pursuits , 2009 .

[29]  Gareth Davey What is Museum Fatigue ? , 2007 .

[30]  Jennifer A. Fredricks,et al.  School Engagement: Potential of the Concept, State of the Evidence , 2004 .

[31]  John J. Koran,et al.  Predicting Visitor Behavior , 2010 .

[32]  Lisa Linnenbrink-Garcia,et al.  Academic Emotions and Student Engagement , 2012 .

[33]  Kerry Bronnenkant,et al.  Timing and Tracking: Unlocking Visitor Behavior , 2009 .

[34]  R. Calvo,et al.  New Perspectives on Affect and Learning Technologies , 2011 .

[35]  Arthur C. Graesser,et al.  AUTOMATIC DETECTION OF LEARNER'S AFFECT FROM GROSS BODY LANGUAGE , 2009, Appl. Artif. Intell..

[36]  Gaea Leinhardt,et al.  Listening in on Museum Conversations , 2004 .

[37]  Paulette M. McManus It's the company you keep …: The social determination of learning‐related behaviour in a science museum , 1987 .

[38]  J. Falk,et al.  Learning from Museums: Visitor Experiences and the Making of Meaning , 2000 .

[39]  James Paul Gee,et al.  What video games have to teach us about learning and literacy , 2007, CIE.

[40]  Elaine Toms,et al.  What is user engagement? A conceptual framework for defining user engagement with technology , 2008, J. Assoc. Inf. Sci. Technol..

[41]  M. Lepper,et al.  Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. , 1996 .

[42]  Giorgos Lepouras,et al.  Modeling visitors' profiles: A study to investigate adaptation aspects for museum learning technologies , 2010, JOCCH.