Boiling the frog: ethical and behavioral impacts of technological exposure and availability

Noah Ari, Nusrat Jahan, Johnathan Mell
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Abstract

Emotion detection is a rapidly advancing method of quantifying the human experience. Past literature shows emotional data is highly sensitive and private. It also shows habituation effects (previous exposure to a concept) can result in more lenient ethical evaluation of actions. To build effective virtual agents, emotional data must be used in a way that is ethical and inoffensive to humans. Agents which are designed to interact with humans in virtually any capacity should strive to better understand them to be more competitive, more understanding, and generally more effective. We must understand the impact that agents using such data will have on people. To explore these points, we have conducted a 168-participant 2x2 experimental design with an additional user-choice factor to examine effects of pre-exposure to emotion detection on the participant's evaluation of its ethicality. We hypothesize that habituation affects participants' ethical evaluation of the technology presented to them. We found these effects and behavioral impacts when participants played an economic game. We show that the agent's presence on human perception and behavior is significant; proper agent design requires attention to these factors.
煮青蛙:技术暴露和可用性对伦理和行为的影响
情感检测是一种快速发展的量化人类经验的方法。过去的文献表明,情感数据是高度敏感和隐私的。它还表明,习惯效应(以前对一个概念的接触)可能导致对行为的更宽松的道德评估。为了建立有效的虚拟代理,情感数据必须以一种合乎道德且对人类无害的方式使用。被设计成以任何方式与人类互动的代理应该努力更好地理解人类,从而更有竞争力,更理解人类,通常也更有效。我们必须了解代理人使用这些数据将对人们产生的影响。为了探讨这些问题,我们进行了一项168名参与者的2x2实验设计,并添加了一个额外的用户选择因素,以检验预暴露于情绪检测对参与者评估其伦理性的影响。我们假设,习惯会影响参与者对呈现给他们的技术的道德评价。当参与者玩经济游戏时,我们发现了这些效应和行为影响。我们证明了代理对人类感知和行为的存在是显著的;适当的代理设计需要注意这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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