Attitudes and Folk Theories of Data Subjects on Transparency and Accuracy in Emotion Recognition
Attitudes and Folk Theories of Data Subjects on Transparency and Accuracy in Emotion Recognition
复制标题
DOI：
10.1145/3512925
复制
发表时间：
2022-03
影响因子：
--
通讯作者：
Gabriel Grill;Nazanin Andalibi
中科院分区：
文献类型：
--
作者：
Gabriel Grill;Nazanin Andalibi
有望推断情绪的技术的发展引发了政治和伦理方面的担忧，包括对其准确性和透明度的担忧。在这些对话中，一个被边缘化的观点是，数据主体可能受到情绪识别的影响。以社交媒体作为情感识别部署的一个背景，我们对数据主体（即社交媒体用户）进行了访谈，以调查他们对情感识别的准确性和透明度的看法，并询问他们对这些观点和相关民间理论的态度。我们发现，数据主体认为准确的推断令人不舒服，并威胁到他们的代理，指出隐私和模糊性是社交媒体平台所需的设计原则。一些参与者认为，当代的情绪识别必须准确，而另一些人则对竞争这项技术的可能性表示担忧，并呼吁提高透明度。此外，一些人对这项技术提出了挑战，强调情绪是复杂的、关系的、表现的和定位的。在解释我们的发现时，我们确定了关于情绪识别准确性和有意义的透明度的新的民间理论。总体而言，我们的分析显示，数据主体的现状令人不满意，这是由权力失衡、平台治理中缺乏反身性和民主审议所造成的。
The growth of technologies promising to infer emotions raises political and ethical concerns, including concerns regarding their accuracy and transparency. A marginalized perspective in these conversations is that of data subjects potentially affected by emotion recognition. Taking social media as one emotion recognition deployment context, we conducted interviews with data subjects (i.e., social media users) to investigate their notions about accuracy and transparency in emotion recognition and interrogate stated attitudes towards these notions and related folk theories. We find that data subjects see accurate inferences as uncomfortable and as threatening their agency, pointing to privacy and ambiguity as desired design principles for social media platforms. While some participants argued that contemporary emotion recognition must be accurate, others raised concerns about possibilities for contesting the technology and called for better transparency. Furthermore, some challenged the technology altogether, highlighting that emotions are complex, relational, performative, and situated. In interpreting our findings, we identify new folk theories about accuracy and meaningful transparency in emotion recognition. Overall, our analysis shows an unsatisfactory status quo for data subjects that is shaped by power imbalances and a lack of reflexivity and democratic deliberation within platform governance.