• Ajenaghughrure, I. B., Sousa, S. C. D. C., & Lamas, D. (2021). Psychophysiological Modelling of Trust in Technology: Comparative Analysis of Psychophysiological Signals.

  • Sousa, S., & Bates, N. (2021). Factors influencing content credibility in Facebook’s news feed. Human-Intelligent Systems Integration, 3(1), 69-78.


  • Baheer, B. A., Lamas, D., & Sousa, S. (2020). A systematic literature review on existing digital government architectures: State-of-the-art, challenges, and prospects. Administrative Sciences, 10(2), 25.

  • Ajenaghughrure, I. B., Sousa, S. D. C., & Lamas, D. (2020). Measuring Trust with Psychophysiological Signals: A Systematic Mapping Study of Approaches Used. Multimodal Technologies and Interaction, 4(3), 63.

  • Fessl, A., Pammer-Schindler, V., Pata, K., Feyertag, S., Mõttus, M., Janus, J., & Ley, T. (2020). A Cooperative Design Method for SMEs to Adopt New Technologies for Knowledge Management: A Multiple Case Study. Journal of Universal Computer Science, 26(9), 1189-1212.

  • Liverpool, S., Mota, C. P., Sales, C. M., Čuš, A., Carletto, S., Hancheva, C., … & Edbrooke-Childs, J. (2020). Engaging children and young people in digital mental health interventions: systematic review of modes of delivery, facilitators, and barriers. Journal of medical Internet research, 22(6), e16317.

  • Dennerlein, S. M., Tomberg, V., Treasure-Jones, T., Theiler, D., Lindstaedt, S., & Ley, T. Co-designing tools for workplace learning: a method for analysing and tracing the appropriation of affordances in design-based research. Inf. Learn. Sci. 121 (3/4), 175–205 (2020).

  • Kuusk, K., Tajadura-Jiménez, A., & Väljamäe, A. (2020). A transdisciplinary collaborative journey leading to sensorial clothing. CoDesign, 16(4), 311-327.

  • Tajadura-Jiménez, A., Väljamäe, A., & Kuusk, K. (2020). Altering One’s Body-Perception Through E-Textiles and Haptic Metaphors. Frontiers in Robotics and AI, 7, 7.

  • Kosunen, I., & Väljamäe, A. (2020). Designing symbiotic composing. Acoustical Science and Technology, 41(1), 322-325.


  • Ogunyemi, A. A., Lamas, D., Lárusdóttir, M. K., & Loizides, F. (2019). A systematic mapping study of HCI practice research. International Journal of Human–Computer Interaction, 35(16), 1461-1486.

  • Gulati, S., Sousa, S., & Lamas, D. (2019). Design, development and evaluation of a human-computer trust scale. Behaviour & Information Technology, 38(10), 1004-1015.

  • Ogunyemi, A., Lamas, D., & Eze, E. (2018). Exploring the state of human-centred design practice in software development companies: A cross-case analysis of three Nigerian software companies. Interacting with Computers, 30(5), 444-467.

  • Rutkowska, J., Lamas, D., Visser, F. S., Wodyk, Z., & Bańka, O. (2017). Shaping loyalty: Experiences from design research practice. Interactions, 24(3), 60-65.

  • Ogunyemi, A. A., Lamas, D., Adagunodo, E. R., Loizides, F., & Da Rosa, I. B. (2016). Theory, practice and policy: an inquiry into the uptake of HCI practices in the software industry of a developing country. International Journal of Human–Computer Interaction, 32(9), 665-681.

  • Sousa, S., Lamas, D., & Dias, P. (2016). Value creation through trust in technological-mediated social participation. Technology, Innovation and Education, 2(1), 1-10.

  • Väljamäe, A., & Seno, T. (2016). Modulation of recognition memory for emotional images by vertical vection. Frontiers in psychology, 7, 39.

  • Cincuegrani, S. M., Jordà, S., & Väljamäe, A. (2016). Physiopucks: Increasing user motivation by combining tangible and implicit physiological interaction. ACM Transactions on Computer-Human Interaction (TOCHI), 23(1), 1-22.


  • Gould, S. J., Brumby, D. P., Cox, A. L., Fitzpatrick, G., Hoonhout, J., Lamas, D., & Law, E. (2015, April). Methods for Human-Computer Interaction Research. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2473-2474).

  • Ferri, F., Tajadura-Jiménez, A., Väljamäe, A., Vastano, R., & Costantini, M. (2015). Emotion-inducing approaching sounds shape the boundaries of multisensory peripersonal space. Neuropsychologia, 70, 468-475.

  • Kober, S. E., Witte, M., Stangl, M., Väljamäe, A., Neuper, C., & Wood, G. (2015). Shutting down sensorimotor interference unblocks the networks for stimulus processing: An SMR neurofeedback training study. Clinical Neurophysiology, 126(1), 82-95.

  • Lamas, D., & Pender, H. L. (2014). Reflection on the role of semiotic engineering in co-design of interaction. IEEE Latin America Transactions, 12(1), 48-53.

  • Kober, S. E., Wood, G., Kurzmann, J., Friedrich, E. V., Stangl, M., Wippel, T., … & Neuper, C. (2014). Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback. Biological psychology, 95, 21-30.

  • Väljamäe, A., & Sell, S. (2014). The influence of imagery vividness on cognitive and perceptual cues in circular auditorily-induced vection. Front Psychol 5: 1362.

  • da Rosa, I. B., & Lamas, D. R. (2013). Easing access to digital libraries with m-DSpace. eLearning Papers, (34), 5.

  • Akdogan, I., & Sousa, S. (2013). Immigrant Inclusion by E-Participation (IIeP).

  • Tomberg, V., Laanpere, M., Ley, T., & Normak, P. (2013). Sustaining teacher control in a blog-based personal learning environment. International Review of Research in Open and Distributed Learning, 14(3), 109-133.

  • Sousa, S., & Lamas, D. (2012). Trust as a leverage for supporting online learning creativity-a case study. eLearning Papers,(30).

  • Tajadura-Jiménez, A., Väljamäe, A., Toshima, I., Kimura, T., Tsakiris, M., & Kitagawa, N. (2012). Action sounds recalibrate perceived tactile distance. Current Biology, 22(13), R516-R517.

  • Tikka, P., Väljamäe, A., de Borst, A., Pugliese, R., Ravaja, N., Kaipainen, M., & Takala, T. (2012). Enactive cinema paves way for understanding complex real-time social interaction in neuroimaging experiments. Frontiers in human neuroscience, 6, 298.


  • Bernardet, U., Väljamäe, A., Inderbitzin, M., Wierenga, S., Mura, A., & Verschure, P. F. (2011). Quantifying human subjective experience and social interaction using the eXperience Induction Machine. Brain research bulletin, 85(5), 305-312.

  • Tajadura-Jiménez, A., Väljamäe, A., Asutay, E., & Västfjäll, D. (2010). Embodied auditory perception: the emotional impact of approaching and receding sound sources. Emotion, 10(2), 216.

  • Tajadura-Jiménez, A., Väljamäe, A., Kitagawa, N., & Ho, H. N. (2010). Whole-body vibration influences on sound localization in the median plane. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 224(10), 1311-1320.

  • Väljamäe, A. (2009). Auditorily-induced illusory self-motion: A review. Brain research reviews, 61(2), 240-255.

  • Väljamäe, A., Larsson, P., Västfjäll, D., & Kleiner, M. (2009). Auditory landmarks enhance circular vection in multimodal virtual reality. Journal of the Audio Engineering Society, 57(3), 111-120.

  • Tajadura-Jiménez, A., Kitagawa, N., Väljamäe, A., Zampini, M., Murray, M. M., & Spence, C. (2009). Auditory–somatosensory multisensory interactions are spatially modulated by stimulated body surface and acoustic spectra. Neuropsychologia, 47(1), 195-203.

  • Riecke, B. E., Väljamäe, A., & Schulte-Pelkum, J. (2009). Moving sounds enhance the visually-induced self-motion illusion (circular vection) in virtual reality. ACM Transactions on Applied Perception (TAP), 6(2), 1-27.

  • Inderbitzin, M., Wierenga, S., Väljamäe, A., Bernardet, U., & Verschure, P. F. (2009). Social cooperation and competition in the mixed reality space eXperience Induction Machine XIM. virtual reality, 13(3), 153-158.

  • Badia, S. B. I., Valjamae, A., Manzi, F., Bernardet, U., Mura, A., Manzolli, J., & Verschure, P. F. J. (2009). The effects of explicit and implicit interaction on user experiences in a mixed reality installation: The synthetic oracle. Presence: Teleoperators and Virtual Environments, 18(4), 277-285.


  • Väljamäe, A., Tajadura-Jimenez, A., Larsson, P., Västfjäll, D., & Kleiner, M. (2008). Binaural bone-conducted sound in virtual environments: Evaluation of a portable, multimodal motion simulator prototype. Acoustical science and technology, 29(2), 149-155.

  • Väljamäe, A., & Soto-Faraco, S. (2008). Filling-in visual motion with sounds. Acta psychologica, 129(2), 249-254.

  • Väljamäe, A., Tajadura-Jiménez, A., Larsson, P., Västfjäll, D., & Kleiner, M. (2008). Handheld experiences: using audio to enhance the illusion of self-motion. IEEE Computer Architecture Letters, 15(04), 68-75.

  • Tajadura-Jiménez, A., Väljamäe, A., & Västfjäll, D. (2008). Self-representation in mediated environments: the experience of emotions modulated by auditory-vibrotactile heartbeat. CyberPsychology & Behavior, 11(1), 33-38.

  • Väljamäe, A., Larsson, P., Västfjäll, D., & Kleiner, M. (2008). Sound representing self-motion in virtual environments enhances linear vection. Presence: Teleoperators and Virtual Environments, 17(1), 43-56.

  • Väljamäe, A., Larsson, P., Västfjäll, D., & Kleiner, M. (2006). Vibrotactile enhancement of auditory-induced self-motion and spatial presence. Journal of the Audio Engineering Society, 54(10), 954-963.