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Outputs (12)

An Indexed Approach for Expectation-Confirmation Theory: A Trust-based model (2024)
Journal Article
AlSokkar, A. A. M., Law, E. L., 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

The present study utilised the Expectation-Confirmation Theory (ECT) as a theoretical framework to examine the temporal development of customer trust, satisfaction, and repurchase intent. In subsequent phases of the ECT, the significance of expectati... Read More about An Indexed Approach for Expectation-Confirmation Theory: A Trust-based model.

Empirical Grounding for the Interpretations of Natural User Interface: A Case Study on Smartpen (2023)
Conference Proceeding
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) (350-371). https://doi.org/10.1007/978-3-031-42283-6_20

The emergence of Natural User Interface (NUI) approximately two decades ago promised to support intuitive and multimodal interactions by leveraging human sensorimotor skills such as touching, speaking, and gazing. Despite the development and introduc... Read More about Empirical Grounding for the Interpretations of Natural User Interface: A Case Study on Smartpen.

Effects of Prior Experience, Gender, and Age on Trust in a Banking Chatbot with(out) Breakdown and Repair (2023)
Conference Proceeding
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). https://doi.org/10.1007/978-3-031-42283-6_16

Trust is an attitudinal construct that can be sensitive to prior experience, gender, and age. In our study, we explored how trust in a banking chatbot might be shaped by these user characteristics. Statistical analysis of 251 participants, who intera... Read More about Effects of Prior Experience, Gender, and Age on Trust in a Banking Chatbot with(out) Breakdown and Repair.

Chatbots for Active Learning: A Case of Phishing Email Identification (2023)
Journal Article
Hobert, S., Følstad, A., & Law, E. L. (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

Chatbots represent a promising approach to provide instructional content and facilitate active learning processes. However, there is a lack of knowledge as how to design chatbot interactions for active learning. In response to this knowledge gap, we... Read More about Chatbots for Active Learning: A Case of Phishing Email Identification.

Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools (2023)
Conference Proceeding
Thanyadit, S., Heintz, M., & Law, E. L. (2023). Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools. . https://doi.org/10.1145/3544548.3581069

Remote conferencing systems are increasingly used to supplement or even replace in-person teaching. However, prevailing conferencing systems restrict the teacher’s representation to a webcam live-stream, hamper the teacher’s use of body-language, and... Read More about Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools.

Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic (2022)
Journal Article
Law, E. L., 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, https://doi.org/10.1080/0144929x.2022.2141136

The digital divide is especially pertinent in Majority World Countries (MWCs), and this was exacerbated greatly by the pandemic. Tackling the digital divide underpins the work of Human–Computer Interaction for Development (HCI4D) and remains an impor... Read More about Insights from impacts of the digital divide on children in five majority world countries during the COVID-19 pandemic.

Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service (2022)
Conference Proceeding
Law, E. L., Følstad, A., & van As, N. (2022). Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service. . https://doi.org/10.1145/3546155.3546665

Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational breakdown. The literature is i... Read More about Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service.

How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits (2022)
Book Chapter
Thanyadit, S., Heintz, M., Law, E. L., & 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

Extended Reality (XR) has the potential to be a very successful teaching tool because it enables students to engage with a learning environment that incorporates both physical and virtual objects. Nevertheless, preparing an XR lesson requires technic... Read More about How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits.

Building a three-level multimodal emotion recognition framework (2022)
Journal Article
Garcia-Garcia, J. M., Lozano, M. D., Penichet, V. M., & Law, E. L. (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

Multimodal emotion detection has been one of the main lines of research in the field of Affective Computing (AC) in recent years. Multimodal detectors aggregate information coming from different channels or modalities to determine what emotion users... Read More about Building a three-level multimodal emotion recognition framework.

Disruptions, adjustments and hopes: The impact of the COVID‐19 pandemic on child well‐being in five Majority World Countries (2022)
Journal Article
Haffejee, S., Vostanis, P., O'Reilly, M., Law, E., Eruyar, S., Fleury, J., …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

Drawing on integrated data from focus groups and diary entries, we explored the impact of the COVID-19 pandemic on child well-being for children from five Majority World Countries. We focus on the disruptions the pandemic caused, the adjustments made... Read More about Disruptions, adjustments and hopes: The impact of the COVID‐19 pandemic on child well‐being in five Majority World Countries.

Future directions for chatbot research: an interdisciplinary research agenda (2021)
Journal Article
Følstad, A., Araujo, T., Law, E. L., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., …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

Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education, and work support. However, there is only limited knowledge concerning the impact of chatbot... Read More about Future directions for chatbot research: an interdisciplinary research agenda.