Why Did You/I Read but Not Reply? IM Users’ Unresponded Read-Receipt Practices and Explanations

Document Title

Why Did You/I Read but Not Reply? IM Users’ Unresponded-to Read-receipt Practices and Explanations of Them

Document Information

• Research Area: Human-Computer Interaction, mobile communication behavior, usage habits and impacts of instant messaging applications
• Keywords: Read receipt, instant messaging, text messages, responsiveness, awareness cues, turn-taking, social pressure, user studies

Research Background and Issues

• Identified Problems or Challenges:

  • The “read receipt” feature in instant messaging apps is designed to enhance awareness of turn-taking in conversations, but it also introduces social pressure, privacy concerns, and unrealistic expectations for prompt replies.
  • Existing research primarily focuses on the negative impacts of this feature and users’ general attitudes, with limited attention to specific behaviors and explanations in different contexts.

• Importance of the Issue:

  • Instant messaging is a crucial communication tool in modern society, where timely responses and interactions are core characteristics. However, this feature can lead to friction and negative emotions in communication.
  • Understanding users’ perceptions and behaviors can help alleviate potential social pressures and optimize design.

• Research Motivation and Related Work:

  • Motivation: To explore the behaviors and reasons of senders and receivers in generating and interpreting unresponded-to “read receipts” (URRMs), and to identify contextual factors influencing these behaviors.
  • Related Work: Existing literature highlights the pressure and privacy concerns associated with read receipts, offering preliminary perspectives but lacking in-depth exploration of behavioral differences among users.

Proposed Solution

• Methods or Solutions Proposed:

  • Employing a constructivist grounded theory approach, conducting semi-structured interviews with 25 participants to deeply investigate users’ perceptions, behaviors, and strategies.
  • Categorizing participants’ explanations and behaviors into various types and analyzing the influence of contextual factors.

• Innovations:

  • Introducing a 21-part taxonomy, including 5 types of sender speculations about URRMs, 8 types of receiver explanations for URRMs, and 4 types of strategies used by both parties to handle URRMs.
  • Highlighting discrepancies between senders’ and receivers’ interpretations and the communication friction caused by these inconsistencies.

• Implementation Steps and Key Techniques:

  1. Participant Recruitment: Using Facebook groups and researchers’ personal social media to attract users with diverse instant messaging usage patterns.
  2. Interviews: Semi-structured interviews focusing on users’ strategies, decision-making, attitudes, emotions, and attributions regarding URRMs.
  3. Data Analysis: Utilizing ATLAS.ti for step-by-step coding and categorization, analyzing reasons and behaviors through theoretical perspectives and folk concept explanation theories.

Research Findings

• Specific Findings:

  • Identified multiple explanations for URRMs (e.g., unintentional, acceptable, expressing dissatisfaction, disclaiming responsibility), revealing significant discrepancies in sender and receiver perceptions of URRMs.
  • Discovered five key contextual factors influencing user perceptions and behaviors: personal factors, situational factors, conversational factors, relationship factors, and interaction factors.

• Advantages:

  • Provides more behavioral and explanatory types than existing studies, showcasing the complexity behind URRMs.
  • Explores contextual factors to reveal how negative emotions triggered by read receipts can be mitigated in specific scenarios.

• Experimental or Evaluation Results:

  • Found that receivers use URRMs more strategically, such as leveraging them to influence social relationships, express opinions, or maintain personal image.
  • Demonstrated that senders’ attributions of URRMs are limited by their understanding of the receiver’s situation.

• Limitations and Future Directions:

  • Limitations: The sample primarily consists of young, tech-savvy users in Taiwan, and the study relies on personal recollections, which may introduce recall bias.
  • Future Directions:
    • Conducting diversified sample studies across different cultures, age groups, and technology usage demographics.
    • Using Experience Sampling Method (ESM) to capture IM behaviors in real-time and explore the dynamic changes in URRMs phenomena.
    • Exploring design optimizations, such as customizable read receipts, auto-reply functionalities, and status-sharing tools.

The findings suggest that integrating feasible design improvements—such as intelligent detection of accidental conversation window entries, buffer time settings, and customizable visibility features—into future instant messaging applications can effectively reduce communication friction and enhance user experience.