iSee: demonstration video. [video recording]

Wijekoon, Anjana; Wiratunga, Nirmalie; Palihawadana, Chamath; Nkisi-Orji, Ikechukwu; Corsar, David; Martin, Kyle

Abstract

This output presents a demonstration of the iSee platform. iSee is an ongoing project aimed at improving the user experience of AI by harnessing experiences and best practices in Explainable AI. To this end, iSee brings together research and developments from XAI/HCI practitioners and experience from industry partners to promote XAI reuse in the real world. Currently, the iSee platform is tested by end users from four industry partners. iSee is planned to be released as an open platform for promoting the reuse of XAI methodologies and best practices in 2024. The accompanying file contains a demonstration video.

Citation

WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D. and MARTIN, K. 2023. iSee: demonstration video. [video recording]. New York: ACM [online]. Available from: https://dl.acm.org/doi/10.1145/3581754.3584137#sec-supp

• Digital Artefact Type: Video
• Acceptance Date: Dec 30, 2022
• Online Publication Date: Mar 27, 2023
• Deposit Date: Mar 28, 2023
• Publicly Available Date: Mar 28, 2023
• Publisher: Association for Computing Machinery (ACM)
• Keywords: Human-centered computing; Natural language interfaces; Computing methodologies; Knowledge representation and reasoning
• Public URL: https://rgu-repository.worktribe.com/output/1924802
• Publisher URL: https://dl.acm.org/doi/10.1145/3581754.3584137#sec-supp
• Related Public URLs: https://rgu-repository.worktribe.com/output/1893099 (conference article)
• Additional Information: The accompanying file was published as supplementary material alongside the following conference article:; WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D. and MARTIN, K. 2023. iSee: intelligence sharing of explanation experience of users for users. In IUI '23 companion: companion proceedings of the 28th Intelligent user interfaces international conference 2023 (IUI 2023), 27-31 March 2023, Sydney, Australia. New York: ACM [online], pages 79-82. Available from: https://doi.org/10.1145/3581754.3584137