"Together but not together": Evaluating Typing Indicators for Interaction-Rich Communication
Authors
Conversational ChatbotsComputational Methods in HCI
Title of the Paper
“Together but not together”: Evaluating Typing Indicators for Interaction-Rich Communication
Paper Information
- Subject Area: Human-Computer Interaction (HCI), specifically the design of interaction-rich communication in text-based computer-mediated communication.
- Keywords: Computer-mediated communication, online interaction, typing indicators, Media Richness Theory (MRT), social presence, text communication
Research Background and Problem Statement
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Identified Issues and Challenges:
- Messaging has become a ubiquitous digital communication tool, but its singular mode limits the conveyance of immediate feedback, tone, facial expressions, hesitations, and pauses, reducing the richness of media communication.
- Existing research presents conflicting conclusions when evaluating the impact of Media Richness Theory on user experience and task performance, lacking a clear design theory to improve text-based communication.
- Although users express a need for higher social presence, there is relatively little design research on enhancing the richness of text communication media.
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Significance of the Research:
- In the context of the COVID-19 pandemic and remote work, text-based communication has seen a significant increase, becoming a critical tool for team management and maintaining personal relationships.
- Enhancing the richness of text communication can not only improve task collaboration but also have a positive impact on critical areas such as mental health support.
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Research Motivation and Related Work:
- Existing studies have found that real-time interaction (e.g., limiting asynchronous communication) can increase users' sense of social presence but may also lead to excessive stress and communication obligations.
- This research aims to design mechanisms that do not restrict asynchronicity but instead promote richer communication content in text interactions.
Solution
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Proposed Solution:
- Designed and implemented two new typing indicators: masked-typing and live-typing, to facilitate richer text interactions based on multiple cues and immediate feedback.
- Employed a mixed-methods approach (quantitative + qualitative) to evaluate the effectiveness of these indicators, while building an experimental environment to test them.
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Innovative Contributions:
- By introducing key features of Media Richness Theory (MRT) (immediate feedback, multiple cue transmission, language variety, message personalization), the study reimagines traditional text communication interfaces.
- Conducted simulation experiments to test how these indicators impact users' cognitive demands, social presence, and interaction efficiency in task-oriented environments.
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Implementation Steps and Key Techniques:
- Indicator Design:
- Masked-Typing: Characters typed by the sender are displayed in real-time as “#” symbols to preserve the privacy of the message content.
- Live-Typing: The receiver sees the sender’s input in real-time, including deletions and edits.
- User Experiments:
- 24 participants completed a simulated survival task using four different typing indicators (no indicator, traditional typing indicator, masked-typing, live-typing). Data collected included chat logs, NASA-TLX cognitive task load scores, and qualitative user feedback.
- Indicator Design:
Research Findings
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Specific Findings:
- Cognitive Demand: Live-typing significantly outperformed no indicator and traditional typing indicators across all cognitive task load metrics (e.g., stress, frustration, time demand).
- Social Presence: Live-typing significantly enhanced users’ perception of their partner’s presence during task collaboration, followed by masked-typing.
- Task Outcomes: Collaboration accuracy with live-typing and masked-typing was higher than with other indicators, particularly in terms of consistency and task-solving efficiency.
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Advantages Over Existing Solutions:
- Compared to traditional typing indicators that only display “typing…,” the new designs provide richer cues and immediate feedback, offering users a stronger sense of connection.
- The designs enhance social presence while reducing cognitive task load, making them suitable for task-oriented and mental health support applications.
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Experiment and Evaluation Results:
- Live-typing was considered more conducive to team collaboration due to its immediacy and transparency in communication processes, though some users expressed concerns about its privacy implications.
- Masked-typing alleviated the pressure of real-time exposure to some extent, but its ambiguous character display method could lead to user confusion.
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Limitations and Future Directions:
- Limitations:
- The sample consisted of only 24 participants, with a gender bias (predominantly male).
- Remote experiments may have been influenced by external distractions, affecting the reliability of results.
- Future Directions:
- Test the effectiveness of these indicators in different types of relationships (e.g., friends, colleagues, therapeutic relationships).
- Explore the potential role of personalized expression and customizable settings.
- Investigate applications in task-based mental health support (e.g., cognitive behavioral therapy).
- Limitations:
Research Questions / Practical Problems
Question signals indexed for this paper.
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Research Questions
3- How do real-time typing indicators affect users' social presence and cognitive load in task collaboration?Category: Feedback Design, Waiting Experience, and Multimodal PerceptionSimilar questionsarrow_forward
- How do different typing indicators (traditional, masked, and real-time) affect collaboration efficiency in text communication?Category: Feedback Design, Waiting Experience, and Multimodal PerceptionSimilar questionsarrow_forward
- How can core features of media richness theory (MRT) be applied in designing text communication interfaces to improve user experience?Category: Feedback Design, Waiting Experience, and Multimodal PerceptionSimilar questionsarrow_forward
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Practical Problems
1- Users struggle to obtain social presence and real-time interaction feedback in text chat.Category: Feedback Design, Waiting Experience, and Multimodal PerceptionSimilar questionsarrow_forward
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DOI: https://doi.org/10.1145/3544548.3581248
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CHI
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2023
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Conversational Chatbots, Computational Methods in HCI
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