Claims

Voice alone conveys the emotional tone of happy, content, and bored instructors as accurately as voice plus an embodied onscreen agent

Claim · All claims
Evidence · 1 study (3 entries) · causal r2 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? For the happy instructor, the pattern of emotion ratings did not differ between the agent absent and agent present conditions. → Lawson 2022 q3 i? For the content instructor, the pattern of emotion ratings did not differ between the agent absent and agent present conditions. → Lawson 2022 (2) q3 i? For the bored instructor, the pattern of emotion ratings did not differ between the agent absent and agent present conditions. → Lawson 2022 (3)

Evidence

Lawson 2022

Lawson, A. P., & Mayer, R. E. (2022). The Power of Voice to Convey Emotion in Multimedia Instructional Messages. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00282-y

q3 · i? · causal · r2

Repeated measures ANOVA on ratings of the happy instructor in the Mturk within-subjects experiment (agent present vs. agent absent × four emotion scales). The article reports "not a significant main effect of agent presence" and no interaction, consistent with the voice hypothesis.

"There was not a significant main effect of agent presence, F(1, 99) = 0.59, p = 0.443, nor an interaction, F(3, 297) = 0.39, p = 0.759."

Lawson 2022 (2)

Lawson, A. P., & Mayer, R. E. (2022). The Power of Voice to Convey Emotion in Multimedia Instructional Messages. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00282-y

q3 · i? · causal · r2

Repeated measures ANOVA on ratings of the content instructor in the same within-subjects experiment. The article reports "no main effect of agent presence" and no interaction, consistent with the voice hypothesis.

"There was no main effect of agent presence, F(1, 99) = 1.70, p = 0.195, nor was there an interaction, F(3, 297) = 0.86, p = 0.464."

Lawson 2022 (3)

Lawson, A. P., & Mayer, R. E. (2022). The Power of Voice to Convey Emotion in Multimedia Instructional Messages. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00282-y

q3 · i? · causal · r2

Repeated measures ANOVA on ratings of the bored instructor in the same within-subjects experiment. The article reports "no main effect of agent presence" and no interaction, consistent with the voice hypothesis.

"There was no main effect of agent presence, F(1, 99) = 0.40, p = 0.527, nor an interaction, F(3, 297) = 1.83, p = 0.143."

Discussion

Page metadata
Field Value
type claim
id voice-alone-conveys-happy-content-bored-emotion
title Voice alone conveys the emotional tone of happy, content, and bored instructors as accurately as voice plus an embodied onscreen agent
description Voice alone conveys the emotional tone of happy, content, and bored instructors as accurately as voice plus an embodied onscreen agent
status review
evidence_strength moderate
newest_evidence 2022
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 3 — lawson-2022, lawson-2022-2, lawson-2022-3

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