Instant messaging is one of the major channels of computer mediated communication. However, humans are known to be very limited in understanding others' emotions via text-based communication. Aiming on introducing emotion sensing technologies to instant messaging, we developed EmotionPush, a system that automatically detects the emotions of the messages end-users received on Facebook Messenger and provides colored cues on their smartphones accordingly. We conducted a deployment study with 20 participants during a time span of two weeks. In this paper, we revealed five challenges, along with examples, that we observed in our study based on both user's feedback and chat logs, including (i)the continuum of emotions, (ii)multi-user conversations, (iii)different dynamics between different users, (iv)misclassification of emotions and (v)unconventional content. We believe this discussion will benefit the future exploration of affective computing for instant messaging, and also shed light on research of conversational emotion sensing.
翻译:即时传递信息是计算机调解通信的主要渠道之一,然而,人类通过基于文本的通信理解他人的情感方面已知非常有限。为了将情感感知技术引入即时信息,我们开发了情感普什系统,该系统自动检测脸书使者收到的信息终端用户的情绪,并相应地在智能手机上提供彩色提示。我们在两周的时间内与20名参与者进行了部署研究。在本文中,我们揭示了五个挑战,并列举了一些实例,我们在研究中发现,我们基于用户的反馈和聊天记录,包括:(一) 情感的连续性,(二) 多用户对话,(三) 不同用户之间的不同动态,(四) 情绪的不正确分类和(五) 常规内容。我们认为,这一讨论将有利于未来探索即时信息的影响计算,并启发对谈话情感感知力的研究。