Abstract
| Original language | English |
|---|---|
| Article number | Online ISSN: 2672-7080 |
| Pages (from-to) | 77-89 |
| Number of pages | 13 |
| Journal | SEARCH Journal of Media and Communication Research |
| Volume | Special Issue: SEARCH 2022 Conference |
| Issue number | Online ISSN: 2672-7080 |
| Publication status | Published - 17 Apr 2023 |
Keywords
- AI voice, e-learning, explainer video, voice-over, voice characteristics
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In: SEARCH Journal of Media and Communication Research, Vol. Special Issue: SEARCH 2022 Conference, No. Online ISSN: 2672-7080, Online ISSN: 2672-7080, 17.04.2023, p. 77-89.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Perception of university students towards the use of artificial intelligence-generated voice in explainer videos
AU - Leong, Wai Kit
AU - Chew , Yuin-Y
AU - Zulkifli, Balqis
AU - Kho , Suet Nie
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PY - 2023/4/17
Y1 - 2023/4/17
N2 - Explainer videos are on the rise, not just for marketing or sales purposes to highlight a product or business idea in a compelling and efficient way, but also as a learning tool to enhance instruction at all levels of learning. But though videos are increasingly part of education today, video production can be a time-consuming process, and this can be a barrier for educators who may not all be well-versed in or able to dedicate significant amounts of time to the creation of effective, interesting explainer videos that support their educational content. If it is possible to use artificial intelligence (AI)-generated voices for voice-overs in explainer videos, this would speed up the video creation process by allowing the creators to bypass the need to record a human – whether it is the video’s creator or a separate actor – speaking the lines. This study explores the potential of AI-generated voices in explainer videos aimed at university students, specifically investigating students’ responses to AI-generated voices by looking at whether they respond positively to the voice and whether there is any Uncanny Valley effect of revulsion towards it. The findings are based on a pilot study for university students, where participants were exposed to a set of explainer videos using different voice-overs (human voice, speaker notes app, and an AI-generated voice) and their responses recorded via a questionnaire with questions modified from Ho and Macdorman, 2010; Kröger et al., 2019; and Kühne et al., 2020. The results show a preference for the more human-like voice-overs and no substantial negative perception of the AI-generated voices that were more human-like, indicating that AI-generated voices could potentially be more widely used in explainer videos at institutions of higher education.
AB - Explainer videos are on the rise, not just for marketing or sales purposes to highlight a product or business idea in a compelling and efficient way, but also as a learning tool to enhance instruction at all levels of learning. But though videos are increasingly part of education today, video production can be a time-consuming process, and this can be a barrier for educators who may not all be well-versed in or able to dedicate significant amounts of time to the creation of effective, interesting explainer videos that support their educational content. If it is possible to use artificial intelligence (AI)-generated voices for voice-overs in explainer videos, this would speed up the video creation process by allowing the creators to bypass the need to record a human – whether it is the video’s creator or a separate actor – speaking the lines. This study explores the potential of AI-generated voices in explainer videos aimed at university students, specifically investigating students’ responses to AI-generated voices by looking at whether they respond positively to the voice and whether there is any Uncanny Valley effect of revulsion towards it. The findings are based on a pilot study for university students, where participants were exposed to a set of explainer videos using different voice-overs (human voice, speaker notes app, and an AI-generated voice) and their responses recorded via a questionnaire with questions modified from Ho and Macdorman, 2010; Kröger et al., 2019; and Kühne et al., 2020. The results show a preference for the more human-like voice-overs and no substantial negative perception of the AI-generated voices that were more human-like, indicating that AI-generated voices could potentially be more widely used in explainer videos at institutions of higher education.
KW - AI voice, e-learning, explainer video, voice-over, voice characteristics
M3 - Article
VL - Special Issue: SEARCH 2022 Conference
SP - 77
EP - 89
JO - SEARCH Journal of Media and Communication Research
JF - SEARCH Journal of Media and Communication Research
IS - Online ISSN: 2672-7080
M1 - Online ISSN: 2672-7080
ER -