Conference Paper/Proceeding/Abstract 48 views
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection
CEUR Workshop Proceedings, Volume: 3701
Swansea University Authors:
Peter Daish, Nicholas Micallef , Nuria Lorenzo-Dus
, Adeline Paiement
, Deepak Sahoo
-
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Abstract
Interest is growing in using Human-Centered design to enhance compatibility of AI within humanenvironments. These design techniques are valid for eliciting human-centered design requirements,however, they often paint the scenario that AI interaction design is a one-way process in which userbehaviour...
Published in: | CEUR Workshop Proceedings |
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ISSN: | 1613-0073 |
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Genoa, Italy
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa68369 |
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2025-02-07T13:44:06.6753430 v2 68369 2024-11-28 Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection 526bb6b1afc3f8acae8bd6a962b107f8 Peter Daish Peter Daish true false 1cc4c84582d665b7ee08fb16f5454671 0000-0002-2683-8042 Nicholas Micallef Nicholas Micallef true false fac9246a2aa3ba738f8b431e20e45a64 0000-0002-6211-7939 Nuria Lorenzo-Dus Nuria Lorenzo-Dus true false f50adf4186d930e3a2a0f9a6d643cf53 0000-0001-5114-1514 Adeline Paiement Adeline Paiement true false c7b57876957049ac9718ff1b265fb2ce 0000-0002-4421-7549 Deepak Sahoo Deepak Sahoo true false 2024-11-28 Interest is growing in using Human-Centered design to enhance compatibility of AI within humanenvironments. These design techniques are valid for eliciting human-centered design requirements,however, they often paint the scenario that AI interaction design is a one-way process in which userbehaviour is captured to improve interactions and user experiences. Such an approach does not consider real-world settings in which Human-AI environments involve multiple stakeholders, with contrasting needs, which could impact the interactivity, usability and usefulness of Human-AI environments. In this paper, we present a framework for incorporating multiple-stakeholders perspectives into the design of Human-AI environments, designed to establish a common dialogue between end-users’ needs for HumanAI interaction and AI developers’ practical limitations. This is a work in progress project and in our future work we plan to follow this iterative prototyping approach to develop a real-world continuous-learning Human-AI detection system for online grooming. Conference Paper/Proceeding/Abstract CEUR Workshop Proceedings 3701 Genoa, Italy 1613-0073 Human-AI, Continuous-learning, Human-centered design, Online grooming 3 6 2024 2024-06-03 https://ceur-ws.org/Vol-3701/ https://ceur-ws.org/Vol-3701/ COLLEGE NANME COLLEGE CODE Swansea University 2025-02-07T13:44:06.6753430 2024-11-28T11:57:07.6876653 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Peter Daish 1 Nicholas Micallef 0000-0002-2683-8042 2 Nuria Lorenzo-Dus 0000-0002-6211-7939 3 Adeline Paiement 0000-0001-5114-1514 4 Deepak Sahoo 0000-0002-4421-7549 5 68369__33102__ad8e57e3a3d4408bae312538cd1c3c1d.pdf 68369.VoR.pdf 2024-12-10T14:09:53.8158259 Output 997568 application/pdf Version of Record true ©2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0 |
title |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
spellingShingle |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection Peter Daish Nicholas Micallef Nuria Lorenzo-Dus Adeline Paiement Deepak Sahoo |
title_short |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
title_full |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
title_fullStr |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
title_full_unstemmed |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
title_sort |
Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection |
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526bb6b1afc3f8acae8bd6a962b107f8 1cc4c84582d665b7ee08fb16f5454671 fac9246a2aa3ba738f8b431e20e45a64 f50adf4186d930e3a2a0f9a6d643cf53 c7b57876957049ac9718ff1b265fb2ce |
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526bb6b1afc3f8acae8bd6a962b107f8_***_Peter Daish 1cc4c84582d665b7ee08fb16f5454671_***_Nicholas Micallef fac9246a2aa3ba738f8b431e20e45a64_***_Nuria Lorenzo-Dus f50adf4186d930e3a2a0f9a6d643cf53_***_Adeline Paiement c7b57876957049ac9718ff1b265fb2ce_***_Deepak Sahoo |
author |
Peter Daish Nicholas Micallef Nuria Lorenzo-Dus Adeline Paiement Deepak Sahoo |
author2 |
Peter Daish Nicholas Micallef Nuria Lorenzo-Dus Adeline Paiement Deepak Sahoo |
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Interest is growing in using Human-Centered design to enhance compatibility of AI within humanenvironments. These design techniques are valid for eliciting human-centered design requirements,however, they often paint the scenario that AI interaction design is a one-way process in which userbehaviour is captured to improve interactions and user experiences. Such an approach does not consider real-world settings in which Human-AI environments involve multiple stakeholders, with contrasting needs, which could impact the interactivity, usability and usefulness of Human-AI environments. In this paper, we present a framework for incorporating multiple-stakeholders perspectives into the design of Human-AI environments, designed to establish a common dialogue between end-users’ needs for HumanAI interaction and AI developers’ practical limitations. This is a work in progress project and in our future work we plan to follow this iterative prototyping approach to develop a real-world continuous-learning Human-AI detection system for online grooming. |
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2024-06-03T05:51:15Z |
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