Staff profile

Effie Lai-Chong Law is a full professor of computer science, specialising in Human-Computer Interaction (HCI). Before joining Durham, Effie was a full professor in HCI at the University of Leicester, UK, and Senior Research Fellow at ETH Zurich, Switzerland. Effie earned her PhD degree (major: psychology; minor: computer science) with summa cum laude from the University of Munich (LMU) with a four-year full scholarship awarded by DAAD (German Academic Exchange Service). She completed her Bachelor and Master in Social Science at the University of Hong Kong. 

Effie's long-term research focus is Usability and User Experience (UX) methodologies which she has successfully applied to various areas, including Technology-enhanced Learning (TEL), Affective Computing, and Trustworthy Autonomous Systems (TAS). Effie chaired two COST Actions – MAUSE on usability and TwinTide on UX (2005-2013). She has also played a leading role in a number of EU-funded projects, including UNIVERSAL (FP5 on e-learning brokerage systems), PROLEARN (FP6 Network of Excellence on professional e-learning), iCamp (FP6 on collaborative online learning with social media), ROLE (FP7 on personalised learning environment), 80Days (FP7 on game-based learning), Go-Lab/NextLab (FP7/H2020 on online experimentation), and the current ARETE (H2020 on augmented learning educational systems) and ESA Personalized Space Technology Exercise Platform (P-STEP, 2021-2023). In addition, Effie has been PI/CoI in several national ones, including Representing Reformation (AHRC), Laws in Children's Life (ESRC), IP in the creative industries (AHRC with China), Computer-supported collaborative learning on astronomy online lab (STFC with Malaysia), and the running UKRI TAS Verifiability. 

Effie is an editorial board member of Interacting with Computers (OUP), International Journal of Human-Computer Studies (Elsevier), and Quality and User Experience (Springer). She has published more than 200 peer-reviewed papers in reputed journals and conferences. She has served as scientifc chair and associate chair in several prestigious conferences in HCI, including CHI, NordiCHI, INTERACT, and British HCI.

Effie’s recent research foci are: Multidimensional measurement of UX; Automatic multisensory emotion recognition; Conversational AI (chatbots); Mixed Reality.

Chapter in book

• How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits
  
  Thanyadit, S., Heintz, M., Law, E. L.-C., & Mangina, E. (2022). How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits. In T. Ahram & R. Taiar (Eds.), Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications. AHFE International. https://doi.org/10.54941/ahfe1002707

Conference Paper

• Integrating Human-in-the-loop AI to Tackle Space Communication Delay Challenges
  
  Mavrakis, N., Law, E. L.-C., & Shum, H. P. H. (in press). Integrating Human-in-the-loop AI to Tackle Space Communication Delay Challenges. Presented at SpaceCHI ’25: 2025 Human Computer Interaction for Space Exploration, Cologne, Germany.
• Coordination Mechanisms in AI Development: Practitioner Experiences on Integrating UX Activities
  
  Bruun, A., Van Berkel, N., Raptis, D., & Law, E. L.-C. (2025). Coordination Mechanisms in AI Development: Practitioner Experiences on Integrating UX Activities. In N. Yamashita, V. Evers, K. Yatani, X. Ding, B. Lee, M. Chetty, & P. Toups-Dugas (Eds.), CHI ’25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-14). Association for Computing Machinery (ACM). https://doi.org/10.1145/3706598.3713200
• Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education
  
  Liu, J., Law, L.-C., & Shum, H. P. H. (2024). Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education. Nordic Conference on Human-Computer Interaction, Article 50. https://doi.org/10.1145/3679318.3685385
• Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education
  
  Liu, J., Law, E. L.-C., & Shum, H. P. H. (2024). Chatbots and Art Critique: A Comparative Study of Chatbot and Human Experts in Traditional Chinese Painting Education. In NordiCHI ’24: Proceedings of the 13th Nordic Conference on Human-Computer Interaction (pp. 1-13). ACM. https://doi.org/10.1145/3679318.3685385
• Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools
  
  Thanyadit, S., Heintz, M., & Law, E. L.-C. (2023, April). Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools. Presented at CHI ’23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany. https://doi.org/10.1145/3544548.3581069
• Empirical Grounding for the Interpretations of Natural User Interface: A Case Study on Smartpen
  
  Alabdulwahab, B., & Lai-Chong Law, E. (2023). Empirical Grounding for the Interpretations of Natural User Interface: A Case Study on Smartpen. In Proceedings of 19th International Conference of Technical Committee 13 (Human- Computer Interaction) of IFIP (International Federation for Information Processing) (pp. 350-371). Springer. https://doi.org/10.1007/978-3-031-42283-6_20
• Effects of Prior Experience, Gender, and Age on Trust in a Banking Chatbot with(out) Breakdown and Repair
  
  Lai-Chong Law, E., van As, N., & Følstad, A. (2023). Effects of Prior Experience, Gender, and Age on Trust in a Banking Chatbot with(out) Breakdown and Repair. In Proceedings of 19th International Conference of Technical Committee 13 (Human- Computer Interaction) of IFIP (International Federation for Information Processing). Springer. https://doi.org/10.1007/978-3-031-42283-6_16
• Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service
  
  Law, E. L.-C., Følstad, A., & van As, N. (2022, October). Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service. Presented at NordiCHI ’22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark. https://doi.org/10.1145/3546155.3546665

Journal Article

• Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems
  
  Liebherr, M., Enkel, E., Law, E. L.-C., Mousavi, M. R., Sammartino, M., & Sieberg, P. (in press). Dynamic Calibration of Trust and Trustworthiness in AI-Enabled Systems. International Journal on Software Tools for Technology Transfer.
• Towards empathic medical conversation in Narrative Medicine: A visualization approach based on intelligence augmentation
  
  Ma, H., Law, E. L.-C., Sun, X., Yang, W., He, X., Lawson, G., Zheng, H., Wang, Q., Li, Q., & Yuan, X. (2025). Towards empathic medical conversation in Narrative Medicine: A visualization approach based on intelligence augmentation. International Journal of Human Computer Studies, 199, Article 103506. https://doi.org/10.1016/j.ijhcs.2025.103506
• Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes
  
  Murad, S., & Law, E. L.-C. (2024). Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes. Interacting With Computers. Advance online publication. https://doi.org/10.1093/iwc/iwae056
• An Indexed Approach for Expectation-Confirmation Theory: A Trust-based model
  
  AlSokkar, A. A. M., Law, E. L.-C., AlMajali, D. A., Al-Gasawneh, J. A., & Alshinwan, M. (2024). An Indexed Approach for Expectation-Confirmation Theory: A Trust-based model. Electronic Markets, 34(1), Article 12. https://doi.org/10.1007/s12525-024-00694-3
• Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion
  
  Følstad, A., Law, E. L.-C., & van As, N. (2024). Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion. ACM Transactions on Computer-Human Interaction, 31(5), Article 66. https://doi.org/10.1145/3690383
• Chatbots for Active Learning: A Case of Phishing Email Identification
  
  Hobert, S., Følstad, A., & Law, E. L.-C. (2023). Chatbots for Active Learning: A Case of Phishing Email Identification. International Journal of Human-Computer Studies, 179, Article 103108. https://doi.org/10.1016/j.ijhcs.2023.103108
• Trustworthy Autonomous Systems Through Verifiability
  
  Mousavi, M. R., Cavalcanti, A., Fisher, M., Dennis, L., Hierons, R., Kaddouh, B., Law, E. L.-C., Richardson, R., Ringert, J. O., Tyukin, I., & Woodcock, J. (2023). Trustworthy Autonomous Systems Through Verifiability. Computer, 56(2), 40-47. https://doi.org/10.1109/mc.2022.3192206
• Disruptions, adjustments and hopes: The impact of the COVID‐19 pandemic on child well‐being in five Majority World Countries
  
  Haffejee, S., Vostanis, P., O’Reilly, M., Law, E., Eruyar, S., Fleury, J., Hassan, S., & Getanda, E. (2023). Disruptions, adjustments and hopes: The impact of the COVID‐19 pandemic on child well‐being in five Majority World Countries. Children & Society, 37(1), 8-28. https://doi.org/10.1111/chso.12563
• Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic
  
  Law, E. L.-C., Vostanis, P., & O’Reilly, M. J. (2023). Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic. Behaviour and Information Technology, 42(15), 2696-2715. https://doi.org/10.1080/0144929x.2022.2141136
• Building a three-level multimodal emotion recognition framework
  
  Garcia-Garcia, J. M., Lozano, M. D., Penichet, V. M., & Law, E. L.-C. (2023). Building a three-level multimodal emotion recognition framework. Multimedia Tools and Applications, 82(1), 239-269. https://doi.org/10.1007/s11042-022-13254-8
• Future directions for chatbot research: an interdisciplinary research agenda
  
  Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., Wald, R., Catania, F., Meyer von Wolff, R., Hobert, S., & Luger, E. (2021). Future directions for chatbot research: an interdisciplinary research agenda. Computing, 103(12), 2915-2942. https://doi.org/10.1007/s00607-021-01016-7