MessageOnTap: A Suggestive Interface to Facilitate Messaging-related Tasks Fanglin Chen Kewei Xia Human-Computer Interaction Institute Electronic Information School Carnegie Mellon University Wuhan University Pittsburgh, PA, USA Wuhan, China
[email protected] [email protected] Karan Dhabalia Jason I. Hong Electrical and Computer Engineering Human-Computer Interaction Institute Carnegie Mellon University Carnegie Mellon University Pittsburgh, PA, USA Pittsburgh, PA, USA
[email protected] [email protected] ABSTRACT KEYWORDS Text messages are sometimes prompts that lead to infor- Messaging/Communication, Information Seeking & Search; mation related tasks, e.g. checking one’s schedule, creating Contextual Computing; Personal Data/Tracking; User Expe- reminders, or sharing content. We introduce MessageOnTap, rience Design; Text/Speech/Language; Productivity a suggestive interface for smartphones that uses the text in ACM Reference Format: a conversation to suggest task shortcuts that can stream- Fanglin Chen, Kewei Xia, Karan Dhabalia, and Jason I. Hong. 2019. line likely next actions. When activated, MessageOnTap MessageOnTap: A Suggestive Interface to Facilitate Messaging- uses word embeddings to rank relevant external apps, and related Tasks. In CHI Conference on Human Factors in Computing parameterizes associated task shortcuts using key phrases Systems Proceedings (CHI 2019), May 4–9, 2019, Glasgow, Scotland mentioned in the conversation, such as times, persons, or Uk. ACM, New York, NY, USA, 14 pages. https://doi.org/10.1145/ events. MessageOnTap also tailors the auto-complete dictio- 3290605.3300805 nary based on text in the conversation, to streamline any 1 INTRODUCTION text input. We first conducted a month-long study of mes- Messaging apps are among the most popular apps for smart- saging behaviors (N=22) that informed our design.