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Record W4384520711 · doi:10.1145/3571884.3597129

What’s The Talk on VUI Guidelines? A Meta-Analysis of Guidelines for Voice User Interface Design

2023· article· en· W4384520711 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAI in Service Interactions
Canadian institutionsUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsComputer scienceInterface (matter)Set (abstract data type)User interfaceProgramming languageOperating system

Abstract

fetched live from OpenAlex

Over the past decade, voice user interface (VUI) design has been steadily growing, along with a growing VUI presence in consumer markets. However, there is currently a lack of widely-established guidelines for VUI design. While many sets of VUI guidelines have been proposed, they tend to be developed independently of each other, leading to a lack of consensus on appropriate guidelines for VUI design. This can hinder the wider adoption of practical VUI guidelines. To address this gap, we performed a large-scale meta-analysis of 336 VUI design guidelines that have been proposed in academic literature. Using thematic analysis, we present a unified and synthesized set of 14 guidelines, representing the most universally proposed principles of VUI design as captured by the 336 VUI guidelines identified in academic literature. We hope that this synthesized set can address several of the challenges to the adoption of VUI guidelines in design practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.517
Threshold uncertainty score0.522

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.496
GPT teacher head0.469
Teacher spread0.027 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations21
Published2023
Admission routes1
Has abstractyes

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