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Emotion Recognition in Artificial Intelligence by Valentina Franzoni, Ph.D. in Engineering for Computer Science, Research Fellow in Artificial Intelligence, adjunct professor in Operative Systems

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“Emotion Recognition in Artificial Intelligence” by Valentina Franzoni, Ph.D. in Engineering for Computer Science, Research Fellow in Artificial Intelligence, adjunct professor in Operative Systems

Abstract : Affective computing and social robotics study Emotion Recognition to improve the emotional interaction between humans and machines, but also how to design cognitive architectures which included biomimetic elements related to emotions. It is difficult to find any field related to robotics and AI which is not directly or indirectly related to the implementation of emotional values. This revolution is not only about formal heuristics, or the called "algorithmic society", but is also explicitly related to the creation of strong interactions between humans and machines, considering roles and ethics. The complex problem needs a multidisciplinary approach, ranging from computer science to psychology, neurology, and life sciences.

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Emotion Recognition in Artificial Intelligence by Valentina Franzoni, Ph.D. in Engineering for Computer Science, Research Fellow in Artificial Intelligence, adjunct professor in Operative Systems

  1. 1. Emotion recognition in artificial intelligence VALENTINA FRANZONI DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE UNIVERSITY OF PERUGIA, ITALY Milan & Paris WiMLDS online meetup June, the 4th 2020 WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  2. 2. - Emotions and Artificial Intelligence - Machine Learning and Data Science approaches - Errors, bias, and overconfidence in artificial emotional models - Open Challenges WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence Seminar overview
  3. 3. Emotions and Artificial Intelligence WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  4. 4. Research questions  What are emotions?  How can they be measured in the brain?  How can they be measured in their expressions?  How can they be represented in computer science?  Can they be recognized using Artificial / Web Intelligence? WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  5. 5. Cognitive system input + Emotional (limbic) system input = Decision output What is an «emotion» Cognitive system Emotional system Cognitive system Emotional system situations WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  6. 6. If there is a lion… Cognitive system: “baby lion, maybe mother around.” Emotional system: “AAAWW! CUTE!! I would like to touch it!” Decision system: “better to watch from far.” WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  7. 7. And what if… Cognitive system: “lions running at me!” Emotional system: “FEAR of death! RUN AWAY!” Decision system: “EMERGENCY!” WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  8. 8. Emotions are something that get us to act in a particular way. The “qualia” (feeling) is not needed to run, but it is needed to teach and plan for the future. It’s the internal subjective component of sense of perception, arising from stimulation of the senses by phenomena What are emotions WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  9. 9. - Primitives (modular) - Fast (approximate) - Executed automatically (reactive) - Based on environment (adaptive) - Temporary with learning (evolutionary) - Can be collective and contagious - NOT usual feelings or thoughts - NOT sentiments - NOT moods Emotions in AI perspective WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  10. 10. Machine Learning and Data Science Approaches WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  11. 11. 21 June-27 July 2017, Perugia Emotions in Artificial Intelligence Seminar series on Cyber-emotions at the 6th Summer School organized within Hong Kong Baptist University and University of Perugia, Italy Organized by Valentina Franzoni and Alfredo Milani WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
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  20. 20. Web-based proximity models General idea: Using search engines as a source of information about the frequency of terms (such as Google page counts) Observation: • approximate the probability P(w1)=f(w1)/N where f(w1) is the frequency, N =total of indexed objects Ex. P(gatto)=0.000679 Advantage: • Applicable to all proximity measures based on probability or frequency =cat WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  21. 21. Web-based proximity measures to terms similarity P(x)= f(x) 𝐍 and P(xy)= f(xy) 𝐍 Based on probability P(x) of terms. Easy to compute by the frequency of terms: f(x), f(y) and f(xy) are the frequencies returned from a search engine (e.g. Bing, Google, Yahoo, Wikipedia, Youtube) and N is the total number of indexed documents. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  22. 22. Vector-space Emotion Recognition Let E be a model of emotions EEkman={anger, disgust, fear, joy, sadness, surprise}, then the emotional state of a term t=“kill” is 6-dimensional vector of the proximity of t from the basic emotions. anger sadness disgust joy fear surprise kill WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  23. 23. Set Proximity Emotion Recognition Goal: to assess the emotional load of a sentence S by evaluating the proximity of the set of terms to a set of basic emotions. • S={t1, t2, …,tn} terms in the target sentence • E ={e1, e2, …,em} emotional model v_S= (all i) f[( ti , e1), ( ti , e2), …, ( ti , em)] the location of S in vector space model is a functionof proximities from the reference emotions of all theelements of the sentence. •  web based proximity measure v_emax = max{SEL j1,n {(t1, e1),…, (tn, e1)},...,SEL j1,n {(t1, em),…,(tn, em)}} WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  24. 24. Set Proximity Emotion Recognition WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  25. 25. Emotive Face Recognition with CNN  Ekman basic Emotion  Fine-tune a pre-trained neural network (e.g., AlexNet, GoogleNet) with a set of images related to the table of emotions (transfer learning) and save the network  Automatically detect the position of the person's face in the camera (e.g., via OpenCV)  Classify the emotions  Valid also for dogs WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  26. 26. Emotive Face Recognition with CNN ➢ The system is reliable and useful for the users ➢ CNN are an excellent tool for processing images in a fast and accurate way ➢ Even using a commodity webcam results are very good ➢ The system is made by open source, well documented and maintained tools WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  27. 27. Emotions Modeling: The Emotographic Iceberg Facial Expression Context Awareness Prior Experience Words Used Body Language Voice Characteristics Senses Understand Emotion WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  28. 28. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  29. 29. Computer-generated charisma: Steve Jobs can take you anywhere! Text-to-speech synthesis: Synthetic robot voice combined with the acoustic voice profiles of Steve Jobs & Mark Zuckerberg WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  30. 30. Computer-generated charisma: Steve Jobs can take you anywhere! 30 drivers (University students) knowing the path very well, convinced or not to take a wrong way by the voices of Steve Jobs and Mark Zuckerberg. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  31. 31. Computer-generated charisma: Steve Jobs can take you anywhere! When the navigation system uses SJ‘s tone of voice…  26.7 % of all drivers do not abort the test drive at all but follow the wrong instructions to the very end!  Drivers show greater trust in the system (= no error) or they do not blame the system but others! Perception experiments with prosodically manipulated TTS systems are among the first that clearly show the power of charismatic speech melody in perception = not just on listener ratings but on listener behavior! WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  32. 32. Errors, bias, and overconfidence in artificial emotional models WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  33. 33. Confusion of Emotion Recognition with Mood or Sentiment Analysis WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  34. 34. • Emotions are not only feelings • Emotions are not thoughts • Emotions are not moods • Emotions are transient: they come immediately from a stimulus, reach a peak and then gradually degrade Confusion of Emotion Recognition with Mood or Sentiment Analysis WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  35. 35. Overestimation of the benefits of emotional machines
  36. 36. Overconfidence in assuming the emotional nature of “emotional” machines Naming «fear» an if-then instruction is functionally imprecise… WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  37. 37. Underestimation of the effects of well-designed emotional machines Example: prosodic speech WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  38. 38. Underestimation of the effects of well-designed emotional machines WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  39. 39. Duplication of concepts reinventing the wheel WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  40. 40. Oversimplification of human emotions Human emotions can list more than 130 variations. +surprise=Ekman model Plutchick model WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  41. 41. Acultural models WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  42. 42. Gendered models WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  43. 43. Open Challenges WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  44. 44. Ethical applications WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  45. 45. Emotion Recognition for Self-Aid Possible future directions of multidisciplinary problem- solving opportunities for in Affective Computing and Emotion Recognition, as they emerge from the experience of the ACER-EMORE Workshops Series. RESEARCH PROBLEM Enhance user consciousness of emotional states, ultimately support the development of self-aid applications. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  46. 46. Problems and solutions ▪ Relevant application domains:  dependencies treatment (DT) (e.g., workaholism, sexaholism)  non-violent communication (NVC) for people in leading roles using e-mail or chat communication  empathy learning for parents and teachers in the circle- of-security (COS) caring environment ▪ Suggested solutions:  facial ER using Convolutional Neural Networks  semantic text ER ▪ General framework for Emotion Recognition (ER) in Self-aid in a human-centered approach. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  47. 47. Why Self-Aid applications? Ethical goals. Emotion Recognition deeply involves the user’s intimate believes and states, sometimes even unknown to the same user who can be unaware of his/her emotional state. Sound and Incremental approach. The risk is to create a lot of models and algorithms that reach the same goal starting from the same primary resources, instead of advancing the already existent methods and algorithms. Practical and Helping applications. Find practical applications to help human beings to live better: ▪ Shortage of funds ▪ Aids for the weakest ▪ Diminish pain WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  48. 48. General Algorithm  classifying emotions from sensors data  ranking the relevance of the detected emotions concerning the application goal and the current context  projecting the consequence of emotions concerning a specific AC model  eventually triggering a user emotional feedback in order to call for a self-aid action, if the detected emotion appears to affect the application goals WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  49. 49. General System Architecture WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  50. 50. To start mastering Emotion Recognition, or for collaboration proposals: Valentina Franzoni http://orcid.org/0000-0002-2972-7188 valentina.franzoni@dmi.unipg.it http://dblp.uni-trier.de/pers/hd/f/Franzoni:Valentina https://www.researchgate.net/profile/Valentina_Franzoni Subscribe to (like) the Facebook page of our group: https://www.facebook.com/affectivecomputing WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  51. 51. Appendix: Achievement of our workshops WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  52. 52. 2 June 2017, Trieste Emotions in Artificial Intelligence International Multidisciplinary workshop on Emotion Recognition (EMORE) at the 17th International Conference on Computational Science and Its Applications (ICCSA 2017) Organized by: Valentina Franzoni, Daniele Nardi, Alfredo Milani, Jordi Vallverdú WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  53. 53. Giulio Biondi, Valentina Franzoni, Valentina Poggioni: A Deep Learning Semantic Approach to Emotion Recognition Using the IBM Watson Bluemix Alchemy Language. ICCSA (3) 2017: 718-729 Valentina Franzoni, Giulio Biondi, Alfredo Milani: A Web-Based System for Emotion Vector Extraction. ICCSA (3) 2017: 653-668 Matteo Riganelli, Valentina Franzoni, Osvaldo Gervasi, Sergio Tasso: EmEx, a Tool for Automated Emotive Face Recognition Using Convolutional Neural Networks. ICCSA (3) 2017: 692-704 Banu Yergesh, Gulmira Bekmanova, Altynbek Sharipbay, Manas Yergesh: Ontology-Based Sentiment Analysis of Kazakh Sentences. ICCSA (3) 2017:669- 677 Zhiyi Ma, Marwa Mahmoud, Peter Robinson, Eduardo Dias, Lee Skrypchuk: Automatic Detection of a Driver’s Complex Mental States. ICCSA (3) 2017:678- 691 Francesca D’Errico, Isabella Poggi: “Humble” Politicians and Their Multimodal Communication. ICCSA (3) 2017:705- 717 Published in In Proceedings of ICCSA ’17, Trieste, Italy, July 3-6, 2017. LNCS. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  54. 54. 14 July 2017, Perugia University Emotions in Artificial Intelligence Valentina Franzoni, chair Giulio Biondi, co-chair & techs Jordi Vallverdú, Spain Fabio Massimo Botti, Italy Radoslaw Niewiadovmski, Poland Alfredo Milani, Italy Lalit Garg, Malta Valentina Poggioni, Italy Workgroup on Affective Computing (remote kick-off) WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  55. 55. 23 August 2017, Leipzig Emotions in Artificial Intelligence International Workshop on Affective Computing and Emotion Recognition (ACER) at the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017) Organized by: Valentina Franzoni, Jiming Liu, Alfredo Milani, Daniele Nardi, Roberto Basili WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  56. 56. Published in In Proceedings of WI ’17, Leipzig, Germany, August 23-26, 2017. Valentina Franzoni, Alfredo Milani, Giulio Biondi: SEMO: a semantic model for emotion recognition in web objects. WI 2017: 953- 958. DOI: 10.1145/3106426.3109417 Valentina Franzoni, Valentina Poggioni: Emotional book classification from book blurbs. WI 2017: 931-938. DOI: 10.1145/3106426.3109422 Juan Manuel Mayor Torres, Evgeny A. Stepanov: Enhanced face/audio emotion recognition: video and instance level classification using ConvNets and restricted Boltzmann Machines. 939-946. DOI: 10.1145/3106426.3109423 Valentina Franzoni, Alfredo Milani, Jordi Vallverdú: Emotional affordances in human-machine interactive planning and negotiation. WI 2017: 924-930 DOI: 10.1145/3106426.3109421 Alejandro Hernández-García, F. Fernández-Martínez, Fernando Díaz-de-María: Emotion and attention: predicting electrodermal activity through video visual descriptors. 914-923. DOI: 10.1145/3106426.3109418 Valentina Franzoni, Yuanxi Li, Paolo Mengoni: A path-based model for emotion abstraction on facebook using sentiment analysis and taxonomy knowledge. WI 2017: 947-952. DOI: 10.1145/3106426.3109420 WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  57. 57. January 2018 Special issue on Emotional Machines: the Next Revolution in the International Journal on Web Intelligence (iOS press) Guest editors: Valentina Franzoni, Alfredo Milani, Daniele Nardi, Jordi Vallverdù WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  58. 58. Published in «Emotional Machines: the Next Revolution», Web Intelligence 2018 https://content.iospress.com/journals/web-intelligence/17/1 Valentina Franzoni, Alfredo Milani, Daniele Nardi, Jordi Vallverdú Emotional machines: The next revolution (editorial) https://content.iospress.com/art…/web-intelligence/web190395 Banu Yergesh, Gulmira Bekmanova, Altynbek Sharipbay Sentiment analysis of Kazakh text and their polarity Osvaldo Gervasi, Valentina Franzoni, Matteo riganelli, Sergio Tasso Automating facial emotion recognition Álvaro García-Faura, Alejandro Hernández-García, et al. Emotion and attention: Audiovisual models for group-level skin response recognition in short movies Karan Sharma, Marius Wagner, Claudio Castellini, Egon L. Van den Broek et al. A functional data analysis approach for continuous 2-D emotion annotations Alessandro Ansani, Francesca D’Errico, Isabella Poggi ‘You will be judged by the music I hear’: A study on the influence of music on moral judgement Francesca D’Errico, Isabella Poggi Tracking a leader’s humility and its emotions from body, face and voice Andrea Gorrini, Luca Crociani, Giuseppe Vizzari, Stefania Baldini Stress estimation in pedestrian crowds: Experimental data and simulations results WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  59. 59. 3 July 2018, Sidney, Australia International Multidisciplinary workshop on Emotion Recognition (EMORE) at the 18th International Conference on Computational Science and Its Applications (ICCSA 2018) Organized by: Valentina Franzoni, Alfredo Milani Co-located with WCES WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  60. 60. 3 July 2019, Saint Petersburg, Russia International Multidisciplinary workshop on Emotion Recognition and Affective Computing (ACER/EMORE) at the 19th International Conference on Computational Science and Its Applications (ICCSA 2019) Organized by: Valentina Franzoni, Alfredo Milani, Giulio Biondi WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  61. 61. Valentina Franzoni, Alfredo Milani: Emotion Recognition for Self-aid in Addiction Treatment, Psychotherapy, and Nonviolent Communication. ICCSA (2) 2019: 391-404 Giulio Biondi, Valentina Franzoni, Osvaldo Gervasi, Damiano Perri: An Approach for Improving Automatic Mouth Emotion Recognition. ICCSA (1) 2019: 649-664 Oliver Niebuhr, Jan Michalsky: Computer-Generated Speaker Charisma and Its Effects on Human Actions in a Car-Navigation System Experiment - or How Steve Jobs' Tone of Voice Can Take You Anywhere. ICCSA (2) 2019: 375-390 Francesca D'Errico, Oliver Niebuhr, Isabella Poggi: Humble Voices in Political Communication: A Speech Analysis Across Two Cultures. ICCSA (2) 2019: 361-374 Chutisant Kerdvibulvech, Sheng-Uei Guan: Affective Computing for Enhancing Affective Touch-Based Communication Through Extended Reality. ICCSA (2) 2019: 351-360 Eoghan Furey, Juanita Blue: The Emotographic Iceberg: Modelling Deep Emotional Affects Intelligent Assistants & the IoT. ICCSA (7) 2019: 175-180 Published in In Proceedings of ICCSA’19, S.Petersburg Russia, July 3-6, 2019. LNCS. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  62. 62. 14 Oct 2019, Thessaloniki, Greece International workshop on Affective Computing and Emotion Recognition (ACER) at ACM/IEEE/WIC Web Intelligence Conference (WI2019) Organized by: Valentina Franzoni, Alfredo Milani, Daniele Nardi, Jordi Vallverdù WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  63. 63. Valentina Franzoni, Jordi Vallverdú, Alfredo Milani: Errors, Biases and Overconfidence in Artificial Emotional Modeling. WI (Companion) 2019: 86-90 Valentina Franzoni, Alfredo Milani, Giulio Biondi, Francesco Micheli: A Preliminary Work on Dog Emotion Recognition. WI (Companion) 2019: 91-96 Sergio Angelastro, Berardina De Carolis, Stefano Ferilli: Learning and Predicting User Pairwise Preferences from Emotions and Gaze Behavior. WI (Companion) 2019: 72-79 Berardina De Carolis, Francesca D'Errico, Nicola Macchiarulo, Giuseppe Palestra: "Engaged Faces": Measuring and Monitoring Student Engagement from Face and Gaze Behavior. WI (Companion) 2019: 80-85 Published in In Proceedings of WI ’19, Thessaloniki, Greece, October 14, 2019. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  64. 64. 6 Oct 2019, Bari, Italy International Workshop on Socio- Affective Technologies: an interdisciplinary approach (SAT) at IEEE Systems, Man, and Cybernetics Conference (SMC 2019) Organized by: Berardina De Carolis, Francesca D’Errico, Veronica Rossano WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  65. 65. Valentina Franzoni, Giulio Biondi, Alfredo Milani: Crowd emotional sounds: spectrogram- based analysis using convolutional neural network. SAT@SMC 2019: 32-36 Concetta Papapicco, Giuseppe Mininni: Impact memes: PhDs humor(e). SAT@SMC 2019: 1-6 Giovanni Boccia Artieri, Gevisa La Rocca: The election day of Pope Francis: between sentiment and emotions online. SAT@SMC 2019: 7-12 Marinella Paciello, Francesca D'Errico, Giorgia Saleri: Moral struggles in social media discussion: the case of sexist aggression. SAT@SMC 2019: 13-16 Francesca D'Errico, Manuel Martinez, Carmen D'Anna, Maurizio Schmid, Stella Mastrobattista, Raffaella Parlongo, Christian Massom: 'Prosocial' virtual reality as tool for monitoring engagement in intergroup helping situations. SAT@SMC 2019: 17-21 Fabrizio Balducci, Berardina De Carolis, Donato Impedovo, Giuseppe Pirlo: Touch dynamics for affective states recognition: your smartphone knows how you feel since you unlock it. SAT@SMC 2019: 22-26 Anne-Marie Brouwer, Ivo V. Stuldreher, Nattapong Thammasan: Shared attention reflected in EEG, electrodermal activity and heart rate. SAT@SMC 2019: 27-31 Mauro Gaspari, Margherita Donnici: Weekend in Rome: a cognitive training exercise based on planning. SAT@SMC 2019: 37-41 Berardina De Carolis, Giuseppe Palestra, Olimpia Pino: Facial expression recognition from nao robot within a memory training program for individuals with mild cognitive impairment. SAT@SMC 2019: 42-46 Published in In Proceedings of SAT ’19, Bari, Italy, October 6, 2019. WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  66. 66. 3 July 2020, Cagliari, Italy (online for Covid-19) International Multidisciplinary workshop on Emotion Recognition and Affective Computing (ACER/EMORE) at the 20th International Conference on Computational Science and Its Applications (ICCSA 2020) Organized by: Valentina Franzoni, Alfredo Milani, Giulio Biondi WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence
  67. 67. These slides are distributed under the Creative Commons licence: CC BY-SA 4.0 You can use, share and modify them under the constraints to cite the original author and share with the same licence: WiMLDS online meeting - June 2020 Valentina Franzoni – Emotion Recognition in Artificial Intelligence https://creativecommons.org /licenses/by-sa/4.0/deed.en

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