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The Ethics and Cognitive Science of the Attention Economy

atrium.lib.uoguelph.ca

Philosophical critiques of the attention economy overwhelmingly portray technology users as victims – their attention "hijacked," their willpower "depleted," their autonomy eliminated by irresistible design. I argue that such accounts, while intuitively compelling, fundamentally misunderstand how digital platforms influence human behavior. Drawing on contemporary cognitive science, I develop an empirically grounded framework showing that the attention economy's real harm lies not in controlling users but in shaping what they value. I challenge the dominant "control argument" through three interconnected claims. First, attention is not a depletable resource that can be captured, but rather a capacity for value-guided selection shaped by learning history, goals, and environment. Second, platforms influence behavior not by overriding agency but through "value collapse" – the process whereby rich human values like friendship and accomplishment become reduced to platform metrics like followers and streaks. Third, users maintain the ability to regulate their responses to digital stimuli, though this capacity can be compromised when learned values make harmful choices genuinely appealing. The framework I develop synthesizes value-based decision-making models with philosophical work on attention and agency. When your phone buzzes, you don't lose control – you make a rapid decision based on learned value representations. The problem is that platforms systematically shape these representations through variable rewards, social feedback, and algorithmic optimization. This creates a feedback loop: shaped values guide attention, which reinforces those same values, progressively narrowing what seems worth attending to. This analysis transforms how we should respond to digital harms. Rather than treating technology use as addiction requiring abstinence, or depleted self-control requiring restriction, we should focus on cultivating skilled attention – the capacity to recognize and reshape the values guiding our choices. The issue isn't whether we can stop scrolling (we can) but whether we've learned to value scrolling over richer pursuits. By grounding philosophical analysis in cognitive science rather than folk psychology, this dissertation provides tools for understanding not just current platforms but emerging technologies like generative AI. The question isn't whether we have agency in digital environments but how to exercise it wisely when powerful systems are designed to shape our deepest evaluative commitments.

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注意力經濟的倫理學與認知科學

atrium.lib.uoguelph.ca
17 天前

AI 生成摘要

本文挑戰了注意力經濟中將用戶描繪成受害者的觀點,認為數位平台對用戶的傷害不在於控制,而在於透過「價值崩塌」和變動性獎勵等機制形塑其價值觀,進而逐步縮窄用戶認為值得關注的事物。

注意力經濟的倫理學與認知科學

注意力經濟的倫理學與認知科學

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對注意力經濟的哲學批判,絕大多數將科技使用者描繪成受害者——他們的注意力被「劫持」,他們的意志力被「耗盡」,他們的自主性被不可抗拒的設計所消除。我認為,儘管這些說法在直覺上引人入勝,但它們從根本上誤解了數位平台如何影響人類行為。基於當代認知科學,我開發了一個基於經驗的框架,表明注意力經濟的真正危害不在於控制使用者,而在於塑造他們的價值觀。我透過三個相互關聯的主張來挑戰佔主導地位的「控制論點」。首先,注意力不是一種可以被捕獲的、可耗盡的資源,而是一種受學習歷史、目標和環境塑造的、以價值為導向的選擇能力。其次,平台不是透過覆蓋能動性來影響行為,而是透過「價值崩潰」——友誼和成就等豐富的人類價值被簡化為追蹤者和連勝等平台指標的過程。第三,使用者保持著調節他們對數位刺激反應的能力,儘管當學習到的價值觀使有害的選擇真正具有吸引力時,這種能力可能會受到損害。我開發的框架將基於價值的決策模型與關於注意力和能動性的哲學工作相結合。當你的手機響起時,你不會失去控制——你會根據學習到的價值表徵迅速做出決定。問題在於,平台透過可變的獎勵、社會回饋和演算法優化來系統地塑造這些表徵。這創造了一個回饋迴路:塑造的價值觀引導注意力,從而強化這些相同的價值觀,逐漸縮小了值得關注的範圍。這種分析改變了我們應該如何應對數位危害。我們不應該將科技使用視為需要禁慾的成癮,或需要限制的耗盡的自我控制,而應該專注於培養熟練的注意力——識別和重塑引導我們選擇的價值觀的能力。問題不在於我們是否可以停止滑動(我們可以),而在於我們是否學會了重視滑動勝過更豐富的追求。透過將哲學分析建立在認知科學而不是民間心理學的基礎上,本論文提供了理解不僅是當前平台,還有生成式人工智慧等新興技術的工具。問題不在於我們在數位環境中是否具有能動性,而在於當強大的系統被設計用來塑造我們最深刻的評估承諾時,如何明智地運用它。

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