Tang-Jie Chang’s research while affiliated with National Yang Ming University and other places

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Publications (4)


"I Want Lower Tone for Work-Related Notifications": Exploring the Effectiveness of User-Assigned Notification Alerts in Improving User Speculation of and Attendance to Mobile Notifications
  • Article

September 2024

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22 Reads

Proceedings of the ACM on Human-Computer Interaction

Tang-Jie Chang

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Li-Ting Su

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Research indicates that smartphone users often speculate about notifications upon sensing their arrival, aiding their decision to attend to them. This speculation, however, relies on the presence of sufficient clues to associate with the notification, which are not always available. To address this challenge, through an experience sampling study, we investigated the effectiveness of delivering user-assigned alerts in influencing users' speculation accuracy, attendance effectiveness, and perceived disturbance. Our findings suggest that while user-assigned alerts enhanced the accuracy of speculation and improved participants' decisions to attend to notifications, the increased notification awareness sometimes led participants to view their decision to ignore notifications as less favorable. Moreover, we found that sporadic alert delivery disrupted the association between the alert and the notification, leading to no reduction in perceived disturbance nor improvement in speculation accuracy. In assigning alerts to notifications, participants considered five strategies: familiarity, distinctiveness, disturbance, emotional resonance, and dimension representation.




Figure 3. Four examples of unexpected content types, translated from Chinese: (a) Extra explanation; (b) Unfinished message and finishing the unfinished message; (c) Restarting the subject, i.e., the user simply texted 'restart' or repeated the first message; (d) Staying in the previous topic, i.e., the user trying to correct the information input in answer to a previous question topic from the chatbot (the user was subscribing exchange rate notification).
Figure 6. Proportions of users who abandoned chatbot use, by number of consecutive NP errors. Nearly half (45%) of long-term abandonments were preceded by just one NP, and 90% were preceded by no more than three consecutive ones.
Figure 7. Likelihood of users abandoning the chatbot, by number of consecutive NPs. Just 14.9% of users abandoned the chatbot upon encountering their first NP, but 25.9% abandoned it on encountering the second consecutive NP.
Figure 8. Relative use of message reformulation ("MR") vs. switching subjects ("Switch") as the user's final strategy before chatbot abandonment.
A Conversation Analysis of Non-Progress and Coping Strategies with a Banking Task-Oriented Chatbot
  • Conference Paper
  • Full-text available

April 2020

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859 Reads

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61 Citations

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Citations (1)


... For instance, Ashktorab and colleagues [34] found that participants prefer when a banking chatbot allowed for Self-repair by providing options of intended meaning following misunderstandings. Li and colleagues [35] found that participants will occasionally attempt Self-repair (e.g., rephrasing) when they fail to progress in the chatbot interaction. Dippold [36] found that ...

Reference:

Conversational repairs on Reddit: Widely initiated but often uncompleted
A Conversation Analysis of Non-Progress and Coping Strategies with a Banking Task-Oriented Chatbot