Voice Principle: Difference between revisions

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To explore this claim, Mayer(2020) conducted five experiments on different studies in which there were comparisons between machine voice and human voice(Atkinson et al., 2005; Mayer et al., 2003; Mayer & DaPra, 2012). The results indicate that the natural human voice is much better than the synthetic voice, as it is natural and socially appealing t people. Furthermore, the experiments show that the human voice positively affects retention and transfer scores. Giving an example of showing students a 140-second narrated video of lightning formation that included spoken words(Mayer, 2003), a non-conversational Russian accent speaker and a standard accent voice speaker are provided to the learners. Students exposed to the standard voice type scored higher than the other type in the following transfer test. This leads to the conclusion that a destructive and unappealing human voice may harm people because it reduces the learner's social stimuli. An unappealing voice may cause learners more time to generate the information which is more likely to increase the working memory that is distributed into the cognitive thinking process that raises the [https://ectwiki.online/index.php?title=Cognitive_Load_Theory cognitive load].
To explore this claim, Mayer(2020) conducted five experiments on different studies in which there were comparisons between machine voice and human voice(Atkinson et al., 2005; Mayer et al., 2003; Mayer & DaPra, 2012). The results indicate that the natural human voice is much better than the synthetic voice, as it is natural and socially appealing t people. Furthermore, the experiments show that the human voice positively affects retention and transfer scores. Giving an example of showing students a 140-second narrated video of lightning formation that included spoken words(Mayer, 2003), a non-conversational Russian accent speaker and a standard accent voice speaker are provided to the learners. Students exposed to the standard voice type scored higher than the other type in the following transfer test. This leads to the conclusion that a destructive and unappealing human voice may harm people because it reduces the learner's social stimuli. An unappealing voice may cause learners more time to generate the information which is more likely to increase the working memory that is distributed into the cognitive thinking process that raises the [https://ectwiki.online/index.php?title=Cognitive_Load_Theory cognitive load].


''''More research and experiments that support the Voice Principle are stated in Table 1.''''
''More research and experiments that support the Voice Principle are stated in Table 1.''


=='''Design Implication'''==
=='''Design Implication'''==

Revision as of 22:32, 15 December 2022

Overview

'Anyone, Anyone' Ferris Bueller's Day Off.Direct YouTube link

“People learn better when narration is spoken in a human voice rather than in a machine voice.(Mayer, 2014)”

Similar to the Personalization Principle that a speaker with a conversational style will have more impact on learning than a formal style presentation, the Voice Principle states that learners learn more deeply when being spoken to in a friendly natural human voice than a synthetic computer-generated voices voice. A machine(synthetic computer-generated) voice also means not speaking as if you are a machine, just like how the teacher does in the movie “Ferris Bueller’s Day Off” which made the lesson boring and tedious and lead to a negative effect on the learning. ‘A friendly human voice’ is emotional, it conveys that someone is speaking directly to you and give you a sense of belonging and social presence.

*The Voice Principle is one of the multimedia principles that assist designers in the planning of instructional multimedia materials to actively engage learners in learning. It is suggested to foster generative processing in the cognitive theory of multimedia learning(CTML).

Evidence

Table 1

It is widely claimed that the use of synthetic voice in educational contexts and materials impedes comprehension and increases the cognitive load of the learners.

To explore this claim, Mayer(2020) conducted five experiments on different studies in which there were comparisons between machine voice and human voice(Atkinson et al., 2005; Mayer et al., 2003; Mayer & DaPra, 2012). The results indicate that the natural human voice is much better than the synthetic voice, as it is natural and socially appealing t people. Furthermore, the experiments show that the human voice positively affects retention and transfer scores. Giving an example of showing students a 140-second narrated video of lightning formation that included spoken words(Mayer, 2003), a non-conversational Russian accent speaker and a standard accent voice speaker are provided to the learners. Students exposed to the standard voice type scored higher than the other type in the following transfer test. This leads to the conclusion that a destructive and unappealing human voice may harm people because it reduces the learner's social stimuli. An unappealing voice may cause learners more time to generate the information which is more likely to increase the working memory that is distributed into the cognitive thinking process that raises the cognitive load.

More research and experiments that support the Voice Principle are stated in Table 1.

Design Implication

Reference

“Anyone, anyone” teacher from Ferris Bueller’s Day Off. (2011, December 29). Retrieved November 18, 2019, from https://www.youtube.com/watch?v=uhiCFdWeQfA.

Mayer, R. (2014). The Cambridge Handbook of Multimedia Learning, Second Edition. New York City: Cambridge University Press.