Exploring the Presentation of Estimated Receptivity Status for Instant Messaging

Ting Wei Wu, Yu Ling Chien, Yung Ju Chang

研究成果: Conference contribution同行評審

摘要

Researchers have developed systems estimating mobile users' receptivity for instant messaging (IM) [4]. However, it remains unclear how users would like their estimated status to be presented to their IM contacts. We developed an Android application that estimated a user's receptivity status and conducted a mixed-method study with 37 IM users to understand how they wanted their estimated status to be presented, including ESM and semi-structured interviews. We found that participants preferred a textual presentation to show their receptivity status over both numeric and graphical presentation. Also, participants more often modified the status from showing interruptibility to showing attentiveness and/or responsiveness than the other way. It was because participants wanted their status more informative of how fast they could read and respond to messages. Participants also more often decreased their receptivity level than increased it to show that they were busy, either real or fake.

原文English
主出版物標題Extended Abstracts - 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services
主出版物子標題Expanding the Horizon of Mobile Interaction, MobileHCI 2020
發行者Association for Computing Machinery, Inc
ISBN(電子)9781450380522
DOIs
出版狀態Published - 10 5月 2020
事件22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020 - Virtual, Online, Germany
持續時間: 5 10月 20209 10月 2020

出版系列

名字Extended Abstracts - 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020

Conference

Conference22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, MobileHCI 2020
國家/地區Germany
城市Virtual, Online
期間5/10/209/10/20

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