Nowadays, different types of context information are integrated into mobile messaging to increase expressiveness and awareness, including mobile device setting, location, activity, and heart rate. Due to low recognition accuracy, sometimes users cannot accurately infer others' status through activity awareness. Recently, activity recognition technology has advanced. However, the user behaviors of activity awareness with improved technology have not been studied. In this study, we design ActAware, a mobile instant messaging application that integrates activity awareness based on improved activity recognition technology, i.e., improved recognition accuracy and the addition of activity transition notification. We conduct a field study to explore user behaviors and found that activity awareness allows users to speculate on the reasons for chat interruption, plan communication, speculate on whether the chat partner is departing/arriving, and deepen the understanding of living patterns. Compared with disclosing other types of context information, users have fewer privacy concerns about disclosing activity information in ActAware. Based on these findings, we provide design recommendations for mobile messaging to better support activity awareness.
翻译:目前,不同类型的背景信息已被纳入移动信息,以提高表达度和认识,包括移动设备设置、位置、活动和心率。由于认识准确度低,用户有时无法通过活动意识准确地推断他人的状况。最近,活动识别技术有所进步。然而,活动识别技术尚未研究使用改良技术的活动意识的用户行为。在本研究中,我们设计了“Aware”软件,这是一个基于改进活动识别技术(即提高识别准确度和增加活动过渡通知)将活动认识整合在一起的移动即时信息应用软件。我们开展了一项实地研究,以探索用户行为,发现活动认识使用户能够猜测聊天中断的原因、计划沟通、猜测聊天伙伴是否离开/到达,并加深对生活模式的理解。与其他类型的背景信息相比,用户对披露“Aware”软件中活动信息的隐私关切较少。基于这些发现,我们为移动信息提供设计建议,以更好地支持活动意识。