Theodora Chaspari

Publications

Google Scholar Profile

Book Chapters

  1. T. Chaspari, A.C. Timmons, G. Margolin, “Population-specific and personalized (PSP) models of human behavior for leveraging smart and connected data,” Smart Data: State-of-the-Art and Perspectives in Computing and Applications, CRC Press, Taylor & Francis Group, USA, 2018.
  2. D. Bone, T. Chaspari, and S.S. Narayanan, “Behavioral signal processing and Autism. Learning from multimodal behavioral signals,” Autism Imaging and Devices, 2017.

Journal Publications

  1. A. C. Timmons, S.C. Han, T. Chaspari, Y. Kim, C. Pettit, S. Narayanan, G. Margolin, “Developmental links between mood variability and social interaction: Considerations for using ambulatory assessment,”, Journal of Research on Adolescence, accepted for publication, 2019.
  2. N. Nath, T. Chaspari, A. Behzadan, “Automated Ergonomic Risk Monitoring Using Body-Mounted Sensors and Machine Learning,” Advanced Engineering Informatics, 38:514-526, 2018.
  3. G.W. Corner, D.E. Saxbe, T. Chaspari, H.F. Rasmussen, L. Perrone, C. Pettit, M. Friendly, A.C. Timmons, and G. Margolin, “Compassion in a Heartbeat: Physiology During Couples’ Loss Discussions,” Journal of Social and Personal Relationships, DOI: 0265407518770267, 2018.
  4. D. Bone, C.C. Lee, T. Chaspari, J. Gibson, and S.S. Narayanan, “Signal Processing and Machine Learning for Behavioral and Mental Health Research and Clinical Applications,” IEEE Signal Processing Magazine, 34(5):196-195, 2017. (pdf)
  5. A.C. Timmons, T. Chaspari, S.C. Han, L. Perrone, S.S. Narayanan, and G. Margolin, “Multimodal detection of conflict in couples using wearable technology,” IEEE Computer, 50(3): 50-59, 2017. (pdf) (IEEE Computer interview)
  6. A.C. Timmons, S.C. Han, L. Perrone, T. Chaspari, B.R. Baucom, S.S. Narayanan, and G. Margolin, “New frontiers in ambulatory assessment: Big data methods for capturing couples’ emotions, vocalizations, and physiology in daily life,” Social Psychological and Personality Science, DOI: 10.1177/1948550617709115, 2017. (pdf)
  7. T. Chaspari, A. Tsiartas, P. Tsilifis, and S.S. Narayanan, “Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations,” IEEE Transactions on Signal Processing, 64(12): 3077-3092, 2016. (pdf)
  8. T. Chaspari, A. Tsiartas, L.I. Stein, S.A. Cermak, and S.S. Narayanan, “Sparse Representation of Electrodermal Activity with Knowledge-Driven Dictionaries,” IEEE Transactions on Biomedical Engineering, 62(3): 960-971, 2015. (pdf)
  9. T. Chaspari, C. Soldatos, and P. Maragos, “The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences,” World Journal of Biological Psychiatry, 23: 1-11, 2015. (link)

Conference Publications

  1. A. Gujral, K. Feng, G. Mandhyan, N. Snehil, and T. Chaspari, “Leveraging transfer learning techniques for classifying infant vocalizations,” to appear in IEEE Biomedical Health Informatics (BHI), 2019
  2. Z. Huo, B. J. Mortazavi, T. Chaspari, N. Deutz, L. Ruebush, and R. Gutierrez-Osuna “Predicting the meal macronutrient composition from continuous glucose monitors,” to appear in IEEE Biomedical Health Informatics (BHI), 2019
  3. M. Yadav, T. Chaspari, and A. Behzadan, “Studying the interplay of individual and contextual factors to physiological-based models of public speaking anxiety,” to appear in IEEE Body Sensor Networks (BSN), 2019.
  4. J. Kim, M. Yadav, C.R. Ahn, and T. Chaspari, “Saliency Detection Analysis of Pedestrians’ Physiological Responses to Assess Adverse Built Environment Features,” to appear in ASCE International Conference on Computing in Civil Engineering, Atlanta, GA, 2019
  5. Y. Wang, H. Wang, X. Zhang, T. Chaspari, Y. Choe, and M. Lu, “An attention-aware bi-directional multi-residual recurrent neural network (ABMRNN): A study about better short-term text classification,” to appear in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
  6. A.M. Pena, T. Chaspari, and E.D. Ragan, “Exploratory Study on Interaction Behaviors During Visual Analysis,” Workshop on User Interfaces for Building Knowledge, ACM International Conference on Intelligent User Interfaces, Los Angeles, CA, 2019.
  7. A. Gujral, T. Chaspari, A.C. Timmons, Y. Kim, S. Barrett, and G. Margolin, “Population-specific detection of couples’ interpersonal conflict,” Proc. ACM International Conference on Multimodal Interaction, Boulder, CO, 2018, https://doi.org/10.1145/3242969.3243007.
  8. M. Yadav, T. Chaspari, J. Kim, and R. Ahn, “Capturing and quantifying emotional distress in the built environment,” Proc. Human-Habitat for Health (H3) Workshop, ACM International Conference on Multimodal Interaction, Boulder, CO, 2018, https://doi.org/10.1145/3279963.3279967.
  9. P. Arora and T. Chaspari, “Exploring Siamese Neural Network Architectures for Preserving Speaker Identity in Speech Emotion Classification” Proc. Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (M3HMI) Workshop, ACM International Conference on Multimodal Interaction, Boulder, CO, 2018, https://doi.org/10.1145/3279972.3279980.
  10. T. Chaspari, A. Metallinou, L.I. Stein Duker, A. Behzadan, “Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era,” Proc. ACM International Conference on Multimodal Interaction, Boulder, CO, 2018, https://doi.org/10.1145/3242969.3265862.
  11. N. Nath, T. Chaspari, A. Behzadan, “A Transfer Learning Method for Deep Neural Network Annotation of Construction Site Imagery,” to appear in Proc. 18th Int. Conference on Construction Applications of Virtual Reality, Auckland, New Zealand, 2018.
  12. N. Goel, T. Chaspari, B. J. Mortazavi, T. Prioleau, A. Sabharwal, and R. Gutierrez-Osuna, “Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals,” Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018.
  13. T. Chaspari, B. J. Mortazavi, T. Prioleau, A. Sabharwal, and R. Gutierrez-Osuna, “Sparse representation models of continuous glucose monitoring time-series,” IEEE Body Sensor Networks, Las Vegas, NV, 2018.
  14. A. Gujral, T. Chaspari, A. C. Timmons, S. C. Han, and G. Margolin, “Real-life detection of interpersonal conflict in couples through the use of wearable and mobile technology,” Body Sensor Networks, Las Vegas, NV, 2018.
  15. T. Chaspari, A.C. Timmons, B. Baucom, L. Perrone, K.J.W. Baucom, P. Georgiou, G. Margolin, and S.S. Narayanan, “Exploring Sparse Representation Measures of Physiological Synchrony for Romantic Couples,” Proc. Affective Computing and Intelligent Interaction Conference (ACII), San Antonio, TX, 2017. (pdf)
  16. T. Chaspari, S.C. Han, D. Bone, A.C. Timmons, L. Perrone, G. Margolin, and S.S. Narayanan, “Quantifying Regulation Mechanisms in Dating Couples through a Dynamical Systems Model of Acoustic and Physiological Arousal,” Proc. IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 3001-3005, New Orleans, LA, 2017. (pdf)
  17. R. Balasubramanian, T. Chaspari, and S.S. Narayanan, “A Knowledge-Driven Framework for ECG Representation and Interpretation for Wearable Applications,” Proc. IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), pp. 1018-1022, New Orleans, LA, 2017. (pdf)
  18. T. Chaspari, L.I. Stein Duker, S.A. Cermak, and S.S. Narayanan, “EDA-Gram: Designing Electrodermal Activity Fingerprints for Visualization and Feature Extraction”, Proc. International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 403-406, Orlando, FL, 2016. (pdf)
  19. A. Youn, T. Chaspari, R. Gupta, and S.S. Narayanan, “Capturing the Structure of Electrodermal Activity with Deep Neural Networks”, Proc. International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, 2016. (pdf)
  20. T. Chaspari and J. Fain Lehman, “An Acoustic Analysis of Child-Child and Child-Robot Interactions for Understanding Engagement during Speech-Controlled Computer Games”, Proc. Interspeech, San Francisco, CA, 2016. (pdf)
  21. D. Bone, J. Gibson, T. Chaspari, D. Can, and S.S. Narayanan, “Speech and Language Processing for Mental Health Research and Care,” Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 2016.
  22. T. Chaspari, S.C. Han, D. Bone, A.C. Timmons, L. Perrone, G. Margolin, and S.S. Narayanan, “Dynamical Systems Modeling of Acoustic and Physiological Arousal in Young Couples,” Proc. Association for the Advancement of Artificial Intelligence (AAAI) Spring Symposia, pp. 21-24, Stanford, CA, 2016. (pdf)
  23. R. Gupta, T. Chaspari, J. Kim, N. Kumar, D. Bone, and S.S. Narayanan, “Pathological Speech Processing: State-of-the-art, current challenges, and future directions,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6470-6474, Shanghai, China, 2016. (pdf)
  24. T. Chaspari, S. Al Moubayed, J. Fain Lehman, “Exploring children’s verbal and acoustic synchrony: Towards promoting engagement in speech-controlled robot-companion games,” Proc. First International Workshop on Modeling Interpersonal Synchrony, ICMI, pp. 21-24, Seattle, WA, 2015. (pdf)
  25. R. Gupta, T. Chaspari, P. Georgiou, D. Atkins and S.S. Narayanan, “Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations,” Proc. Interspeech, pp. 1962-1966, Dresden, Germany, 2015. (pdf)
  26. T. Chaspari, B. Baucom, A. C. Timmons, A. Tsiartas, L. Borofsky Del Piero, K.J.W. Baucom, P. Georgiou, G. Margolin, and S.S. Narayanan, “Quantifying EDA synchrony through joint sparse representation: A case-study of couples’ interactions,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 817-821, Brisbane, Australia, 2015. (pdf)
  27. T. Chaspari, M. Goodwin, O. Wilder-Smith, A. Gulsrud, C.A. Mucchetti, C. Kasari and S.S. Narayanan, “A non-homogeneous Poisson Process model of skin conductance responses integrated with observed regulatory behaviors for Autism intervention,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1630-1634, Florence, Italy, 2014. (pdf)
  28. T. Chaspari, D. Dimitriadis and P. Maragos, “Emotion classification of speech using modulation features,” Proc. European Signal Processing Conference (EUSIPCO), Lisbon, Portugal, 2014 (pdf)
  29. T. Chaspari, E. Mower Provost and S.S. Narayanan, “Analyzing the Structure of Parent-Moderated Narratives from Children with ASD Using an Entity-Based Approach,” Proc. Interspeech, pp. 2430-2434, Lyon, France, 2013. (pdf)
  30. A. Tsiartas, T. Chaspari, A. Katsamanis, P. Kumar Gosh, M. Li, M. Van Segbroeck, A. Potamianos and S.S. Narayanan, “Multi-band long-term signal variability features for robust voice activity detection,” Proc. InterSpeech, pp. 718-722, Lyon, France, 2013. (pdf)
  31. D. Bone, T. Chaspari and K. Audhkhasi and J. Gibson and A. Tsiartas and M. Van Segbroeck and M. Li and S. Lee and S.S. Narayanan, “Classifying Language-Related Developmental Disorders from Speech Cues: the Promise and the Potential Confounds,” Proc. InterSpeech, pp. 182-186, Lyon, France, 2013. (pdf)
  32. D. Bone, C.C. Lee, T. Chaspari, M. P. Black, M. Williams, S. Lee, P. Levitt and S.S. Narayanan, “Acoustic-Prosodic, Turn-taking, and Language Cues in Child-Psychologist Interactions for Varying Social Demand,” Proc. Interspeech, pp. 2400-2404, Lyon, France, 2013. (pdf)
  33. T. Chaspari, D. Bone, J. Gibson, C.C. Lee and S.S. Narayanan, “Using physiology and language cues for modeling verbal response latencies of children with ASD,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3702-3706, Vancouver, BC, Canada, 2013. (pdf)
  34. T. Chaspari, C.C. Lee and S.S. Narayanan, “Interplay between verbal response latency and physiology of children with autism during ECA interactions,” Proc. Interspeech, pp. 1319-1322, Portland, OR, 2012. (pdf)
  35. T. Chaspari, E. Mower Provost, A. Katsamanis and S.S. Narayanan, “An acoustic analysis of shared enjoyment in ECA interactions of children with Autism,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4485-4488, Kyoto, Japan, 2012. (pdf)
  36. E. Mower, C.C. Lee, J. Gibson, T. Chaspari, M.E. Williams and S.S. Narayanan, “Analyzing the Nature of ECA Interactions in Children with Autism,” Proc. Interspeech, pp. 2989-2993, Florence, Italy, 2011. (pdf)

Conference Abstracts

  1. A.C. Timmons, S.C. Han, Y. Kim, O. Shin, L. Perrone, T. Chaspari, S.S. Narayanan, and G. Margolin, “Family-of-Origin Aggression, Physiological Stress Reactivity in Daily Life, and the Perpetration of Aggression in Young Adulthood,”  Society for Research and Child Development (SRCD) Biennial Meeting, Austin, TX, 2017.
  2. R. Arbel, M.E. Daspe, T. Chaspari, L. Perrone, C. Pettit, M. Friendly, M. Estafanous, and G. Margolin, “Let’s talk about loss: Adverse Childhood Experiences and Electrodermal Activity During Dating Couples’ Loss Discussions,” Society for Research and Child Development (SRCD) Biennial Meeting, Austin, TX, 2017.
  3. S.C. Han, A.C. Timmons, Y. Kim, H. Rasmussen, T. Chaspari, P. Bisla, M. Estafanous, P. Rajeev, K. Salehani, O. Shin, L. Perrone, and G. Margolin, “Parent-to-child aggression and anger words in daily life among young adults,” Society for Research and Child Development (SRCD) Biennial Meeting, Austin, TX, 2017.
  4. K. Leo, A.O. Crenshaw, J. Hogan, S. Bourne, T. Chaspari, K.J.W. Baucom, and B.R. Baucom, “Demand/withdraw behavior, emotional expression, and physiological reactivity during marital conflict,” Association for Behavioral and Cognitive Therapies (ABCT) Annual Convention, Chicago, IL, 2015.
  5. A.C. Timmons, T. Chaspari, L. Perrone, T. Feng, S.S. Narayanan, and G. Margolin, “Dating Aggression and Physiological Connectedness in Everyday Life,” Biennial Conference of the Society for Ambulatory Assessment, State College, PA, 2015.
  6. A.C. Timmons, T. Feng, T. Chaspari, S.S. Narayanan and G. Margolin, “An Evaluation of Novel Methodologies for Capturing Couple Dynamics in the Home Environment,” International Convention of Psychological Science (ICPS), Amsterdam, The Netherlands, 2015.
  7. A.C. Timmons, T. Chaspari, S.S. Narayanan and G. Margolin, “The Association between Family Aggression History and Physiological Coregulation in Dating Relationships,” Society for Research and Child Development (SRCD) Biennial Meeting, Philadelphia, PA, 2015.
  8. L. Stein, T. Chaspari, S.A. Cermak, S.S. Narayanan, A. Schell and M. Dawson, “Using a Wireless Measure of Electrodermal Activity: Comparisons to Traditional Wired Equipment,” submitted to the International Meeting for Autism Research (IMFAR), Salt Lake City, UT, 2015.
  9. L. Stein, T. Chaspari, S.A. Cermak, S.S. Narayanan, A. Schell and M. Dawson, “Preliminary validation of the Q-Sensor: An innovative measure of real world electrodermal activity,” Society of Pediatric Psychology Annual Conference, San Diego, CA, 2015.
  10. T. Chaspari, C.C. Lee, M.P. Black and S.S. Narayanan, “Analyzing the Physiological Synchrony of Children with Autism and their Parents with Signal Processing Techniques,” International Meeting for Autism Research (IMFAR), Toronto, Canada, 2012. (abstract)
  11. M. P. Black, D. Bone, T. Chaspari, A. Tsiartas, P. Gorrindo, M. E. Williams, P. Levitt and S.S. Narayanan, “Signal Processing Tools for the Automatic Analysis of Child-Psychologist Interactions,” International Meeting for Autism Research (IMFAR), San Diego, CA, USA, 2011.