Does the Medium Matter? An Exploration of Voice-Interaction for Self-Explanations

Voice User Interface (VUI) DesignMultilingual & Cross-Cultural Voice InteractionUser Research Methods (Interviews, Surveys, Observation)K-12 TeachersUniversity Professors & ResearchersOnline Course Designers

This research evaluates voice-based self-explanations as a pedagogical tool in preparation for lectures, assesses user preferences between voice and text, and derives design insights. We report two studies: Study 1, a quasi-experimental field study, with 247 participants divided into voice-based (N=83), text-based (N=81), and choice (N=83) conditions. Study 2 uses semi-structured interviews (N=16) to explore perceptions of the interaction paradigms in-depth. Results from the first study revealed a general preference for text, though voice users produced longer responses and more topic-related keywords. Over time, the preference for voice increased among students, from 10% to 46%, when given a choice. Study 2 suggested that factors like social presence contribute to hesitance toward voice-based explanations, with a cognitive load, self-confidence, and performance anxiety also influencing medium preferences. Our findings highlight design recommendations and demonstrate the potential of voice-based self-explanations in educational settings, indicating that mixed interfaces might better meet diverse needs.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/dis/164403/2024

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
DIS
calendar_month
Year
2024
emoji_events
Award
No award tagged
group
Authors
10 authors
sell
Subtopics
Voice User Interface (VUI) Design, Multilingual & Cross-Cultural Voice Interaction, User Research Methods (Interviews, Surveys, Observation)
work
Professions
K-12 Teachers, University Professors & Researchers, Online Course Designers
article
Content Status
Abstract only
hub
Related Papers
0 related papers