Dr Eduardo Velloso

  • Room: Level: 05 Room: 14
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

    Personal webpage

    eduardovelloso.com

    Biography

    Eduardo Velloso is a Lecturer in the School of Computing and Information Systems at the University of Melbourne. He was previously a Research Fellow at the Microsoft Research Centre for Social Natural User Interfaces. Eduardo holds a PhD in Computer Science from Lancaster University and a Bachelor in Computer Engineering from the Pontifical Catholic University of Rio de Janeiro. His research aims at creating future social user experiences combining novel input modalities such as gaze, body movement, touch gestures, etc. His latest work has investigated eye-based interaction with smart watches, multimodal combinations of gaze, and eye control of video games.

    Recent publications

    1. Aladwan, A.; Kelly, R.; Baker, S.; Velloso, E. A Tale of Two Perspectives: A Conceptual Framework of User Expectations and Experiences of Instructional Fitness Apps. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19. Association for Computing Machinery. 2019. DOI: 10.1145/3290605.3300624
    2. Wouters, N.; Kelly, R.; Velloso, E.; Wolf, K.; Ferdous, HS.; Newn, J.; Joukhadar, Z.; Vetere, F. Biometric Mirror: Exploring Values and Attitudes towards Facial Analysis and Automated Decision-Making. Proceedings of the 2019 on Designing Interactive Systems Conference - DIS '19. ACM. 2019, pp. 447-461. DOI: 10.1145/3322276.3322304
    3. Luo, C.; Xu, Z.; Dong, R.; Goncalves, J.; Velloso, E.; Kostakos, V. CamTest: A laboratory testbed for camera-based mobile sensing applications. Pervasive and Mobile Computing. ELSEVIER SCIENCE BV. 2019, Vol. 56, pp. 106-131. DOI: 10.1016/j.pmcj.2019.04.001
    4. Zhou, Q.; Srivastava, N.; Goncalves, J.; Newn, J.; Dingler, T.; Velloso, E. Cognitive aid: Task assistance based on mental workload estimation. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems - CHI EA '19. ACM Press. 2019. DOI: 10.1145/3290607.3313010
    5. Srivastava, N.; Velloso, E.; Lodge, JM.; Erfani, S.; Bailey, J. Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19. ACM Press. 2019. DOI: 10.1145/3290605.3300816
    6. Newn, J.; Singh, R.; Allison, F.; Madumal, P.; Velloso, E.; Vetere, F. Designing Interactions with Intention-Aware Gaze-Enabled Artificial Agents. . Springer International Publishing. 2019, pp. 255-281. DOI: 10.1007/978-3-030-29384-0_17
    7. Luo, C.; Visuri, A.; Klakegg, S.; Van Berkel, N.; Sarsenbayeva, Z.; Mottonen, A.; Goncalves, J.; Anagnostopoulos, T.; Ferreira, D.; Flores, H.; Velloso, E.; Kostakos, V. Energy-efficient prediction of smartphone unlocking. Personal and Ubiquitous Computing. SPRINGER LONDON LTD. 2019, Vol. 23, Issue 1, pp. 159-177. DOI: 10.1007/s00779-018-01190-0
    8. Sarsenbayeva, Z.; Van Berkel, N.; Hettiachchi, D.; Jiang, W.; Dingler, T.; Velloso, E.; Kostakos, V.; Goncalves, J. Measuring the Effects of Stress on Mobile Interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM Press. 2019, Vol. 3, Issue 1, pp. 24:1-24:18. DOI: 10.1145/3314411
    9. Giannakos, MN.; Sharma, K.; Pappas, IO.; Kostakos, V.; Velloso, E. Multimodal data as a means to understand the learning experience. International Journal of Information Management. ELSEVIER SCI LTD. 2019, Vol. 48, pp. 108-119. DOI: 10.1016/j.ijinfomgt.2019.02.003
    10. Chacon, DA.; Velloso, E.; Thuong, H.; Wolf, K. SpinalLog: Visuo-Haptic Feedback in Musculoskeletal Manipulation Training. Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction - TEI '19. ASSOC COMPUTING MACHINERY. 2019, pp. 5-14. DOI: 10.1145/3294109.3295626
    11. Luo, C.; Ma, X.; Tian, Y.; Goncalves, J.; Velloso, E.; Kostakos, V. Verifying nondeterministic processes driven by broadcasts on Android. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE. 2019, pp. 341-348. DOI: 10.1109/ITNEC.2019.8729296
    12. Velloso, E.; Dingler, T.; Vetere, F.; Horman, S.; Mcdougall, H.; Mierzejewska, K. Challenges of Emerging Technologies for Human-Centred Design: Bridging the Gap between Inquiry and Invention. Proceedings of the 30th Australian Conference on Computer-Human Interaction - OzCHI '18. ASSOC COMPUTING MACHINERY. 2018, pp. 609-611. DOI: 10.1145/3292147.3293451
    13. Velloso, E.; Coutinho, FL.; Kurauchi, A.; Morimoto, CH. Circular orbits detection for gaze interaction using 2D correlation and profile matching algorithms. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications - ETRA '18. ACM Press. 2018. DOI: 10.1145/3204493.3204524
    14. Srivastava, N.; Newn, J.; Velloso, E. Combining Low and Mid-Level Gaze Features for Desktop Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. Association for Computing Machinery (ACM). 2018, Vol. 2, Issue 4, pp. 1-27. DOI: 10.1145/3287067
    15. Singh, R.; Miller, T.; Newn, J.; Sonenberg, L.; Velloso, E.; Vetere, F. Combining Planning with Gaze for Online Human Intention Recognition. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. ASSOC COMPUTING MACHINERY. 2018, Vol. 1, pp. 488-496.
    16. Sarsenbayeva, Z.; Van Berkel, N.; Velloso, E.; Kostakos, V.; Goncalves, J. Effect of Distinct Ambient Noise Types on Mobile Interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM Press. 2018, Vol. 2, Issue 2, pp. 82:1-82:23. DOI: 10.1145/3214285
    17. Lankes, M.; Newn, J.; Maurer, B.; Velloso, E.; Dechant, M.; Gellersen, H. Eyeplay revisited: Past, present and future challenges for eye-based interaction in games. Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts - CHI PLAY '18 Extended Abstracts. ACM Press. 2018, pp. 689-693. DOI: 10.1145/3270316.3271549
    18. Matthews, O.; Sarsenbayeva, Z.; Jiang, W.; Newn, J.; Velloso, E.; Clinch, S.; Goncalves, J. Inferring the Mood of a Community From Their Walking Speed: A Preliminary Study. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp '18. Association for Computing Machinery. 2018, pp. 1144-1149. DOI: 10.1145/3267305.3274759
    19. Newn, J.; Allison, F.; Velloso, E.; Vetere, F. Looks can be deceiving: Using gaze visualisation to predict and mislead opponents In strategic gameplay. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18. Association for Computing Machinery (ACM). 2018, Vol. 2018-April. DOI: 10.1145/3173574.3173835
    20. Abdelrahman, Y.; Velloso, E.; Dingler, T.; Schmidt, A.; Vetere, F. Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM. 2017, Vol. 1, Issue 3, pp. 33:1-33:20. DOI: 10.1145/3130898

    View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile