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Rosalind W. Picard

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Publications by Rosalind W. Picard (bibliography)

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2009
 
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Picard, Rosalind W. (2009): Robots with emotional intelligence. In: Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction 2009. pp. 5-6. Available online

“This keynote talk will illustrate a basic set of skills of emotional intelligence, how they are important for robots and agents that interact with people, and how our research at MIT addresses part of the problem of giving robots such skills. One of the most important skills is the ability to perceive and understand expressions of emotion, which I will highlight by demonstrating our latest technologies developed to read joint facial-head movements in real-time and associate these with complex affective-cognitive states, and technologies to read paralinguistic vocal cues from speech. The latter have been made open-source and are available for free. I will also show some non-traditional ways robots might sense and learn about human emotion, and ways they can respond to what they sense that can help or hurt people. I will discuss social and ethical issues these technologies raise. Finally, I will present some new possibilities for robots to both learn from people and help teach skills of emotional intelligence to people, especially to those with nonverbal learning impairments who may want to learn these skills, including many people with diagnoses of autism spectrum disorders such as Aspergers Syndrome.”

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2008
 
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Kim, Kyunghee, Picard, Rosalind W. and Lieberman, Henry (2008): Common sense assistant for writing stories that teach social skills. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 2805-2810. Available online

“People on the autistic spectrum often have difficulties with social interaction, and these difficulties are compounded when a person faces the uncertainty of not knowing what to expect in a new social setting. Detailed, step-by-step explanations of people's intentions and plausible actions can often help autistic people make sense of the situation, adapt to the social rules, and reduce stress associated with the social encounter. Carol Gray's Social Stories? are carefully structured stories designed to prepare autistic people for everyday situations such as smiling at friends, waiting in a line, and staying calm in an audience when the speaker's slides don't match the handouts. Teachers or parents writing these stories often forget to include explanations of simple, "common sense" facts and simple variations of the story that might occur in different circumstances. We present a new tool that helps the writer explain salient points and think of more variations of the story. It uses a knowledge base of Common Sense sentences, Open Mind Common Sense, and inference in a semantic network, ConceptNet. We are investigating whether this new tool's suggestions are useful by examining how often the writers choose and use the suggestions that it generates.”

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Lee, Chia-Hsun Jackie, Morris, Rob, Goodwin, Matthew and Picard, Rosalind W. (2008): Lessons learned from a pilot study quantifying face contact and skin conductance in teens with asperger syndrome. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 3147-3152. Available online

“This paper presents lessons learned from a preliminary study quantifying face contact and corresponding physiological reactivity in teenagers with Asperger syndrome. In order to detect face contact and physiological arousability, we created a wearable system that combines a camera with OpenCV face detection and skin conductance sensors. In this paper, we discuss issues involved in setting up experimental environments for wearable platforms to detect face contact and skin conductance levels simultaneously, and address technological, statistical, and ethical considerations for future technological interventions.”

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Lee, Chia-Hsun Jackie, Kim, Kyunghee, Breazeal, Cynthia and Picard, Rosalind W. (2008): Shybot: friend-stranger interaction for children living with autism. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 3375-3380. Available online

“This paper presents Shybot, a personal mobile robot designed to both embody and elicit reflection on shyness behaviors. Shybot is being designed to detect human presence and familiarity from face detection and proximity sensing in order to categorize people as friends or strangers to interact with. Shybot also can reflect elements of the anxious state of its human companion through LEDs and a spinning propeller. We designed this simple social interaction to open up a new direction for intervention for children living with autism. We hope that from minimal social interaction, a child with autism or social anxiety disorders could reflect on and more deeply attain understanding about personal shyness behaviors, as a first step toward helping make progress in developing greater capacity for complex social interaction.”

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2007
 
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Ana, Paiva,, Prada, Rui and Picard, Rosalind W. (2007): Affective Computing and Intelligent Interaction, Lecture Notes in Computer Science, Vol. 4738. Berlin, Germany, Springer Verlag

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Kapoor, Ashish, Burleson, Winslow and Picard, Rosalind W. (2007): Automatic prediction of frustration. In International Journal of Human-Computer Studies, 65 (8) pp. 724-736

“Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Companion or Intelligent Tutoring System might use this information to intervene, providing support to the learner who is likely to otherwise quit, while leaving engaged learners free to discover things without interruption. This paper presents the first automated method that assesses, using multiple channels of affect-related information, whether a learner is about to click on a button saying "I'm frustrated." The new method was tested on data gathered from 24 participants using an automated Learning Companion. Their indication of frustration was automatically predicted from the collected data with 79% accuracy (chance=58%). The new assessment method is based on Gaussian process classification and Bayesian inference. Its performance suggests that non-verbal channels carrying affective cues can help provide important information to a system for formulating a more intelligent response.”

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Used on the following page:

» Multimodal Affective Computing: [/encyclopedia/multimodal_affective_computing.html]


 
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Picard, Rosalind W. and Liu, Karen K. (2007): Relative subjective count and assessment of interruptive technologies applied to mobile monitoring of stress. In International Journal of Human-Computer Studies, 65 (4) pp. 361-375

“A variety of technologies -- from agents designed to assist or encourage you, to context-based messaging services -- have the opportunity to interrupt you many times throughout the day. One of the challenges with designing new highly interruptive technologies is how to objectively assess their influence on human experience. This paper presents an assessment of a new mobile system that interrupts the wearer to support self-monitoring of stress. We utilize a diverse set of assessment techniques, including a newly proposed measure, relative subjective count, which compares the difference in perceived number of interruptions to actual number of interruptions. This measure, together with direct and indirect subjective reports, and a behavioral choice, is used to evaluate an empathetic version of the mobile system vs. a non-empathetic version. We found that post-experience direct questionnaire assessments such as "how stressful has using the system been?" do not significantly distinguish user experiences with the two systems; however, the new measure of relative subjective count, the behavioral choice, and another indirect questioning strategy, do point toward a preference for the empathetic system.”

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Paiva, Ana, Prada, Rui and Picard, Rosalind W. (eds.) Proceedings of the Second International Conference on Affective Computing and Intelligent Interaction September 12-14, 2007, Lisbon, Portugal.

 
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Paiva, Ana, Prada, Rui and Picard, Rosalind W. (eds.) ACII 2007 - Affective Computing and Intelligent Interaction, Second International Conference September 12-14, 2007, Lisbon, Portugal.

 
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Ahn, Hyungil, Teeters, Alea, Wang, Andrew, Breazeal, Cynthia and Picard, Rosalind W. (2007): Stoop to Conquer: Posture and Affect Interact to Influence Computer Users' Persistence. In: Paiva, Ana, Prada, Rui and Picard, Rosalind W. (eds.) ACII 2007 - Affective Computing and Intelligent Interaction, Second International Conference September 12-14, 2007, Lisbon, Portugal. pp. 582-593. Available online

2006
 
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Larson, K., Hazlett, R. L., Chaparro, B. S. and Picard, Rosalind W. (2006): Measuring the Aesthetics of Reading. In: Proceedings of the HCI06 Conference on People and Computers XX 2006. pp. 41-56.

2005
 
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Tao, Jianhua, Tan, Tieniu and Picard, Rosalind W. (eds.) Proceedings of the 1st International Conference on Affective Computing and Intelligent Interaction 22-24 October, 2005, Beijing, China.

 
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Kapoor, Ashish and Picard, Rosalind W. (2005): Multimodal affect recognition in learning environments. In: Zhang, Hongjiang, Chua, Tat-Seng, Steinmetz, Ralf, Kankanhalli, Mohan S. and Wilcox, Lynn (eds.) Proceedings of the 13th ACM International Conference on Multimedia November 6-11, 2005, Singapore. pp. 677-682. Available online

 
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Tao, Jianhua, Tan, Tieniu and Picard, Rosalind W. (eds.) ACII 2005 - Affective Computing and Intelligent Interaction, First International Conference October 22-24, 2005, Beijing, China.

 
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Ahn, Hyungil and Picard, Rosalind W. (2005): Affective-Cognitive Learning and Decision Making: A Motivational Reward Framework for Affective Agents. In: Tao, Jianhua, Tan, Tieniu and Picard, Rosalind W. (eds.) ACII 2005 - Affective Computing and Intelligent Interaction, First International Conference October 22-24, 2005, Beijing, China. pp. 866-873. Available online

 
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Strauss, Marc, Reynolds, Carson, Hughes, Stephen, Park, Kyoung, McDarby, Gary and Picard, Rosalind W. (2005): The HandWave Bluetooth Skin Conductance Sensor. In: Tao, Jianhua, Tan, Tieniu and Picard, Rosalind W. (eds.) ACII 2005 - Affective Computing and Intelligent Interaction, First International Conference October 22-24, 2005, Beijing, China. pp. 699-706. Available online

 
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Picard, Rosalind W. (2005): Emotional Intelligence in Agents and Interactive Computers. In: Chen, Chin-Sheng, Filipe, Joaquim, Seruca, Isabel and Cordeiro, José (eds.) ICEIS 2005 - Proceedings of the Seventh International Conference on Enterprise Information Systems May 25-28, 2005, Miami, USA. pp. 9-10.

2003
 
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Mueller, Florian, Agamanolis, Stefan and Picard, Rosalind W. (2003): Exertion interfaces: sports over a distance for social bonding and fun. In: Cockton, Gilbert and Korhonen, Panu (eds.) Proceedings of the ACM CHI 2003 Human Factors in Computing Systems Conference April 5-10, 2003, Ft. Lauderdale, Florida, USA. pp. 561-568.

 
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Picard, Rosalind W. (2003): Affective computing: challenges. In International Journal of Human-Computer Studies, 59 (1) pp. 55-64

“A number of researchers around the world have built machines that recognize, express, model, communicate, and respond to emotional information, instances of "affective computing." This article raises and responds to several criticisms of affective computing, articulating state-of-the art research challenges, especially with respect to affect in human-computer interaction.”

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Picard, Rosalind W. (2003): Affective computing: challenges. In International Journal of Human-Computer Studies, 1 pp. 55-64

Used on the following page:

» Multimodal Affective Computing: [/encyclopedia/multimodal_affective_computing.html]


 
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Picard, Rosalind W. (2003): Computers That Recognize and Respond to User Emotion. In: Brusilovsky, Peter, Corbett, Albert T. and Rosis, Fiorella De (eds.) User Modeling 2003 - 9th International Conference - UM 2003 June 22-26, 2003, Johnstown, PA, USA. p. 2. Available online

2002
 
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Scheirer, Jocelyn, Fernandez, Raul, Klein, Jonathan and Picard, Rosalind W. (2002): Frustrating the user on purpose: a step toward building an affective computer. In Interacting with Computers, 14 (2) pp. 93-118

“Using a deliberately slow computer-game-interface to induce a state of hypothesised frustration in users, we collected physiological, video and behavioural data, and developed a strategy for coupling these data with real-world events. The effectiveness of our strategy was tested in a study with thirty six subjects, where the system was shown to reliably synchronise and gather data for affect analysis. A pattern-recognition strategy known as Hidden Markov Models was applied to each subject's physiological signals of skin conductivity and blood volume pressure in an effort to see if regimes of likely frustration could be automatically discriminated from regimes when frustration was much less likely. This pattern-recognition approach performed significantly better than random guessing at classifying the two regimes. Mouse-clicking behaviour was also synchronised to frustration-eliciting events and analysed, revealing four distinct patterns of clicking responses. We provide recommendations and guidelines for using physiology as a dependent measure for HCI experiments, especially when considering human emotions in the HCI equation.”

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Klein, J., Moon, Youngme and Picard, Rosalind W. (2002): This computer responds to user frustration:: Theory, design, and results. In Interacting with Computers, 14 (2) pp. 119-140

“Use of technology often has unpleasant side effects, which may include strong, negative emotional states that arise during interaction with computers. Frustration, confusion, anger, anxiety and similar emotional states can affect not only the interaction itself, but also productivity, learning, social relationships, and overall well-being. This paper suggests a new solution to this problem: designing human-computer interaction systems to actively support users in their ability to manage and recover from negative emotional states. An interactive affect-support agent was designed and built to test the proposed solution in a situation where users were feeling frustration. The agent, which used only text and buttons in a graphical user interface for its interaction, demonstrated components of active listening, empathy, and sympathy in an effort to support users in their ability to recover from frustration. The agent's effectiveness was evaluated against two control conditions, which were also text-based interactions: (1) users' emotions were ignored, and (2) users were able to report problems and 'vent' their feelings and concerns to the computer. Behavioral results showed that users chose to continue to interact with the system that had caused their frustration significantly longer after interacting with the affect-support agent, in comparison with the two controls. These results support the prediction that the computer can undo some of the negative feelings it causes by helping a user manage his or her emotional state.”

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Picard, Rosalind W. and Klein, Jonathan (2002): Computers that recognise and respond to user emotion: theoretical and practical implications. In Interacting with Computers, 14 (2) pp. 141-169

“Prototypes of interactive computer systems have been built that can begin to detect and label aspects of human emotional expression, and that respond to users experiencing frustration and other negative emotions with emotionally supportive interactions, demonstrating components of human skills such as active listening, empathy, and sympathy. These working systems support the prediction that a computer can begin to undo some of the negative feelings it causes by helping a user manage his or her emotional state. This paper clarifies the philosophy of this new approach to human-computer interaction: deliberately recognising and responding to an individual user's emotions in ways, that help users meet their needs. We define user needs in a broader perspective than has been hitherto discussed in the HCI community, to include emotional and social needs, and examine technology's emerging capability to address and support such needs. We raise and discuss potential concerns and objections regarding this technology, and describe several opportunities for future work.”

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Aist, Gregory, Kort, Barry, Reilly, Rob, Mostow, Jack and Picard, Rosalind W. (2002): Experimentally Augmenting an Intelligent Tutoring System with Human-Supplied Capabilities: Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor that Listens. In: 4th IEEE International Conference on Multimodal Interfaces - ICMI 2002 14-16 October, 2002, Pittsburgh, PA, USA. pp. 483-490. Available online

2001
 
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Reynolds, C. and Picard, Rosalind W. (2001): Designing for Affective Interactions. In: Proceedings of the Ninth International Conference on Human-Computer Interaction 2001. pp. 499-503.

 
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Picard, Rosalind W. and Scheirer, J. C. (2001): The Galvactivator: A Glove that Senses and Communicates Skin Conductivity. In: Proceedings of the Ninth International Conference on Human-Computer Interaction 2001. pp. 1538-1542.

 
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Picard, Rosalind W., Vyzas, Elias and Healey, Jennifer (2001): Toward machine emotional intelligence: analysis of affective physiological state. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (10) pp. 1175-1191

Used on the following page:

» Multimodal Affective Computing: [/encyclopedia/multimodal_affective_computing.html]


 
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Kort, Barry, Reilly, Rob and Picard, Rosalind W. (2001): An Affective Model of Interplay between Emotions and Learning: Reengineering Educational Pedagogy - Building a Learning Companion. In: ICALT 2001 2001. pp. 43-48.

2000
 
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Picard, Rosalind W. (2000): Affective Perception. In Communications of the ACM, 43 (3) pp. 50-51

1999
 
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Picard, Rosalind W. (1999): Affective Computing for HCI. In: Bullinger, Hans-Jörg (ed.) HCI International 1999 - Proceedings of the 8th International Conference on Human-Computer Interaction August 22-26, 1999, Munich, Germany. pp. 829-833.

1998
 
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Hayes-Roth, Barbara, Ball, Gene, Lisetti, Christine, Picard, Rosalind W. and Stern, Andrew (1998): Affect and Emotion in the User Interface. In: Marks, Joe (ed.) International Conference on Intelligent User Interfaces 1998 January 6-9, 1998, San Francisco, California, USA. pp. 91-94. Available online

“Intelligence. So much of our technology revolves around intelligence: technology in support of intellectual activities; the goal of engineering artificial intelligence; the need for intelligence in the user interface. And yet, so much of everyday life is really about affect and emotion: differences in performance under conditions that are supportive, threatening, or punishing; the challenges of conflict resolution and cooperation among heterogeneous groups of people; the implicit messages of body language and conversational style; the spirit-sustaining texture of our affective relationships with family and friends.”

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1997
 
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Picard, Rosalind W. (1997): Affective computing. Ma, USA, The MIT Press

Used on the following page:

» Multimodal Affective Computing: [/encyclopedia/multimodal_affective_computing.html]


 
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Picard, Rosalind W. and Healey, Jennifer (1997): Affective Wearables. In Personal and Ubiquitous Computing, 1 (3)

 
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Starner, Thad, Mann, Steve, Rhodes, Bradley J., Levine, Jeffrey, Healey, Jennifer, Kirsch, Dana, Picard, Rosalind W. and Pentland, Alex (1997): Augmented Reality Through Wearable Computing. In Presence: Teleoperators and Virtual Environments, 6 (4) pp. 386-398

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Publication statistics

Publication period:1997-2009
Publication count:35
Number of co-authors:50



Productive colleagues

Rosalind W. Picard's 3 most productive colleagues in number of publications:

Henry Lieberman:55
Ana Paiva:41
Alex Pentland:34


Collaboration count

Number of publications with 3 favourite co-authors:

Rui Prada:3
Jennifer Healey:3
Ashish Kapoor:2

 

Other options

Learn more about Rosalind W. Picard:
- Google Scholar
- ACM
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Sep 03

“ Whenever we capture the complexity of the real world in formal structures, whether language, social structures, or computer systems, we are creating discrete tokens for continuous and fluid phenomena. In so doing, we are bound to have difficulty. However, it is only in doing these things that we can come to understand, to have valid discourse, and to design. ”

-- Alan Dix, p. 427 in "Upside-down A's and Algorithms - Computational Formalisms and Theory"

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