The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| author | Fang, Cathy Mengying Zulfikar, Wazeer Samaradivakara, Yasith Nanayakkara, Suranga Maes, Pattie |
| author_facet | Fang, Cathy Mengying Zulfikar, Wazeer Samaradivakara, Yasith Nanayakkara, Suranga Maes, Pattie |
| contents | As AI systems become increasingly integrated into our daily lives and into wearable form factors, there's a fundamental tension between their potential to proactively assist us and the risk of creating intrusive, dependency-forming experiences. This work proposes the concept of a Goldilocks Time Window -- a contextually adaptive time window for proactive AI systems to deliver effective interventions. We discuss the critical factors that determine the time window, and the need of a framework for designing and evaluating proactive AI systems that can navigate this tension successfully. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09332 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems Fang, Cathy Mengying Zulfikar, Wazeer Samaradivakara, Yasith Nanayakkara, Suranga Maes, Pattie Human-Computer Interaction As AI systems become increasingly integrated into our daily lives and into wearable form factors, there's a fundamental tension between their potential to proactively assist us and the risk of creating intrusive, dependency-forming experiences. This work proposes the concept of a Goldilocks Time Window -- a contextually adaptive time window for proactive AI systems to deliver effective interventions. We discuss the critical factors that determine the time window, and the need of a framework for designing and evaluating proactive AI systems that can navigate this tension successfully. |
| title | The Goldilocks Time Window for Proactive Interventions in Wearable AI Systems |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.09332 |