Episode 276

What Research Says About AI Avatars in Learning

Should AI avatars replace human presenters?

In part two of this research series on The Visual Lounge, host Matt Pierce is joined again by TechSmith Senior Market Researcher Stephanie Warnoff to discuss the latest findings from TechSmith's research on AI avatars in instructional video.

Building on episode 275 about AI voices, this conversation explores how different on-screen presenter styles affect viewer perception and information retention.

The study compares multiple formats, including human presenters, AI avatars, and alternative visual approaches. You’ll learn about common misconceptions teams have about avatars, why viewer reactions often differ from stated preferences, and where avatars may help or hurt depending on context.

Learning points from the episode include:

  1. 00:0001:40 Intro
  2. 01:4003:45 What surprised Stephanie most in her findings on AI avatars
  3. 03:4505:20 The five video snippets used during the study
  4. 05:2008:27 How are perspectives around AI changing?
  5. 08:2711:25 When to use avatars, and when not to use avatars
  6. 11:2513:35 The impact of avatars on learning
  7. 13:3515:17 Stephanie’s advice on implementing AI avatars into work
  8. 15:1717:03 Stephanie's tips to people who are reluctant to use AI avatars
  9. 17:0318:29 Questions that Stephanie would like to answer in future research
  10. 18:2919:42 Matt's take on the research
  11. 19:4221:14 Stephanie's advice for people interested and how to get involved with TechSmith research
  12. 21:1421:59 Stephanie's final take
  13. 21:59 Outro

Important links and mentions:

  1. Connect with Stephanie: research@techsmith.com
  2. Learn more about the study in this blog post: https://www.techsmith.com/blog/ai-voices-avatars-in-training-videos/
  3. Check out part one of this research series, episode 275, on AI voices: https://the-visual-lounge.captivate.fm/episode/275-ai-voices-impact-on-learning/
Transcript
Speaker:

So my final take is that in using AI avatars in your videos,

Speaker:

you really need to know your audience and know your purpose of your video. So

Speaker:

if you are creating a video that is long,

Speaker:

instructional screen based, it's okay to have some flexibility to try

Speaker:

and add an AI avatar. But if you're creating a personal

Speaker:

or sensitive or small team recording, just an update,

Speaker:

it's not appropriate to replace a human presenter with AI avatars. So make sure that

Speaker:

you know your audience, know your message and act appropriately in your

Speaker:

videos. Good morning, good evening, good

Speaker:

afternoon, wherever you are and wherever you're watching. My name is Matt Pierce, Sosa Visual

Speaker:

Lounge and we are back with more AI research. That's right. If you

Speaker:

listen to or watch the last episode, we talked about AI voices,

Speaker:

AI voice generation and some of the impact there, some what people thought about

Speaker:

them, how it can affect learning. Today we're going the next step further. We're going

Speaker:

to be talking about AI avatars. So you might be on the fence here. You

Speaker:

might be like, I don't know, I don't know about AI avatars. You might be

Speaker:

on the side of you love them because they make your work faster and easier

Speaker:

and you can produce more content. Or you might be on the other side where

Speaker:

you're like, no way, I will never use an AI avatar. I don't like them.

Speaker:

Whatever it might be, there is information here that you might find valuable

Speaker:

based on research. So let's go ahead and jump back in and introduce our

Speaker:

guest today, Stephanie Warnhoff. She's a market researcher for

Speaker:

TechSmith and she has done this great research study. So Stephanie, Stephanie,

Speaker:

welcome back to the Visual Lounge. Oh, thank you. Thank you very much.

Speaker:

Good afternoon, Matt. Yeah, good afternoon. Well, we're going to dive in because there's

Speaker:

so much here I think that's worth covering and I think this is so

Speaker:

everyone for context, this is part of our AI research. We'll post the link in

Speaker:

the context below so you can find that blog post in the PDF. So

Speaker:

Stephanie, as you started going part through this research and you started learning from what

Speaker:

people were saying, particularly with AI avatars, we what surprised you

Speaker:

most in particular about what you found. So

Speaker:

we ran basically the same, similar type of study. We

Speaker:

had five different videos that we showed each

Speaker:

individual participant. One. So one was using a human

Speaker:

avatar in picture, in picture, so small circle kind of taking up, you

Speaker:

know, a quarter of the screen. Then we had the human full screen which was

Speaker:

more like half and half. Then we had an AI avatar that was also

Speaker:

picture in Picture an AI avatar that was full screen, which is about half the

Speaker:

screen. And then we had an audio visualizer, which is a

Speaker:

feature that you can include in your Camtasia videos. But it is basically a still

Speaker:

image with a bubble around it, for lack

Speaker:

of a better word, that shows kind of the waveforms when someone is speaking. So

Speaker:

it's not a moving video, but it is movement and engaging for your

Speaker:

eyes. So we had those five videos and I think the thing that

Speaker:

surprised me the most was that on the AI avatar side

Speaker:

that participants felt like the smaller picture in picture avatar was

Speaker:

actually higher quality than the full screen AI avatar. I think

Speaker:

I was thinking, okay, bigger is better. So the bigger the avatar is,

Speaker:

the bigger the human is, the higher quality they're going to think it is. And

Speaker:

that was just not correct. It was not correct in terms of what they

Speaker:

felt like for high quality. And it wasn't, it wasn't

Speaker:

the biggest. When we talk about learning retention, which we'll get to later on,

Speaker:

but 31% more participants felt that the smaller AI

Speaker:

avatar was either good or excellent quality versus that full screen

Speaker:

AI avatar. And we did have an open ended comment section there as well that

Speaker:

let us know that basically with that larger on screen avatar, the tiny

Speaker:

motions that make AI avatars look, I mean, kind of fake

Speaker:

were more noticeable. So like the facial expressions, the kind of

Speaker:

imperfect eye contact, kind of robotic sounding voice was more

Speaker:

noticeable because that avatar was taking up more of the screen real estate

Speaker:

on the screen. So although it's the most surprising thing,

Speaker:

once I looked at the data and read through those comments, I could completely understand

Speaker:

why people focused on felt that way. Yeah, well, we actually

Speaker:

have the, the snippets of those. I think we're gonna. Let's play those now

Speaker:

since you've described them so we can see them now. If you're a podcast listener,

Speaker:

you can't see obviously through the podcast. I recommend you go check out our YouTube

Speaker:

channel or on the Visual Lounge. We've been starting to post the videos from YouTube

Speaker:

so you can check it out there. Anything we should know before we watch this

Speaker:

beside beyond what you've already said, Stephanie? I don't think so.

Speaker:

But just remember that each participant only saw one of these videos. This is kind

Speaker:

of a montage of all five smashed together. So you'll notice kind of the cuts

Speaker:

of, you know, or so seconds. It'll flip to another one. So this is not

Speaker:

exactly what they saw, but it's one part of what they saw. We

Speaker:

get the benefit of seeing all of them. But yeah, participants only saw a month,

Speaker:

so. Well, let's go ahead and watch that. Google search results can be

Speaker:

a bit much sometimes. A simple search like what is the best

Speaker:

sunscreen? Is full of ads and profit driven biases.

Speaker:

Google search results can be a bit much sometimes. A simple search like

Speaker:

what is the best sunscreen? Is full of ads and profit driven

Speaker:

biases. Google search results can be a bit much sometimes.

Speaker:

A simple search like what is the best sunscreen? Is full of ads and

Speaker:

profit driven biases. Google search results can be a bit

Speaker:

much. A simple question like what is the best sunscreen? Is

Speaker:

full of ads and profit driven biases. Google search results can

Speaker:

be a bit much. A simple question like what is the best

Speaker:

sunscreen? Is full of ads and profit driven biases.

Speaker:

Okay, so we've got a few, few different options there. Obviously there's a

Speaker:

human in there. There's the audio

Speaker:

visualizer with the rings around it of a still image. Got lots to look

Speaker:

at. Now one thing, Stephanie, you've worked on some of our other research projects

Speaker:

as well. And in past research we've seen like, you know,

Speaker:

most people prefer a real human over some type of

Speaker:

AI avatar. Yet when we actually did this test, you know,

Speaker:

this experiment here, this research, it looks like learners actually

Speaker:

rated AI avatars equally or as

Speaker:

equal professional kind of level as those as the humans.

Speaker:

So one thing that stands out to me is that I think it was like

Speaker:

92% of viewers rated avatar videos as professional

Speaker:

and they would watch another video from that creator.

Speaker:

What's the explanation between kind of that gap of what we've seen in past research

Speaker:

and now how people are kind of judging the quality of the overall

Speaker:

videos that are with avatars in them? Any sense of what's

Speaker:

changing out there for people? You know, we deal with this a lot

Speaker:

in research. The difference between what people either say or what they

Speaker:

say they're going to do versus what they either actually do or their actual behavior

Speaker:

shows. So there's research that says that the best predictor of future

Speaker:

behavior is actually your past behavior. Right? So if you say I'm going

Speaker:

to go to the gym every day this year, but actually the better predictor would

Speaker:

be how many days out of the week did you go to the gym last

Speaker:

year is a better predictor of actually what you're going to do in the future.

Speaker:

So we have trouble reconciling this often with research. You know, do we, do we

Speaker:

listen to what they say or do we watch what they do? And for

Speaker:

this example, I'M not saying that people were incorrect when they said what they

Speaker:

prefer, but I do want to point out that although this video viewer research is

Speaker:

not old by any stretch, there has been huge

Speaker:

advancements in AI between. Even when we ran that study at the end of

Speaker:

2024 and this study that we're sharing now at the beginning of 2026, I

Speaker:

mean, 18 months, things have changed so much.

Speaker:

And so saying that they did prefer a human visual presenter at

Speaker:

that time versus actual higher quality AI avatar

Speaker:

presenter during the study is a little bit off. So they're

Speaker:

not exactly comparing the AI avatars versus each other in this new study.

Speaker:

Right. I mentioned they only saw one of these videos. They're not comparing the human

Speaker:

to the AI, they're seeing one in isolation and basically had to

Speaker:

evaluate the professionalism without comparing to what everyone else was seeing. So when

Speaker:

they actually view a video and are trying to learn from it, they look at

Speaker:

the screen content, they look at the size of the avatar, the voice that was

Speaker:

used, you know, the facial movements, the tone of voice, everything. So this

Speaker:

entire package is what viewers are evaluating when they say a video is

Speaker:

professional. And I will point out that actually in this study, almost

Speaker:

50% of them did not know it was an AI avatar. So the

Speaker:

knowledge of it being an AI avatar didn't really affect their

Speaker:

perception certainly of the professionalism or their perception of the quality.

Speaker:

Yeah, which is, which is super interesting that people couldn't tell for whatever, for

Speaker:

whatever reason. But you're right, the gap between

Speaker:

2024 and beginning here of 2026 is,

Speaker:

it's huge for AI. And so I think, yeah, it does

Speaker:

make sense that maybe people's perceptions are changing. I know when you look at the

Speaker:

quality of avatars or the quality of the technology, what it's able to

Speaker:

produce is just a different scale, Right?

Speaker:

Absolutely. So in the research,

Speaker:

one of the questions or I guess we alluded to or looked at was

Speaker:

when to use an avatar and when not to use avatars. Because I think this

Speaker:

is important because I think a lot of us who are in the learning and

Speaker:

development space, not everything is as clear cut as like just use

Speaker:

it, or maybe it's not use it. We're looking for that guidance. We're still trying

Speaker:

to figure these norms out of what makes sense. Are there any

Speaker:

highlights from the research about when we should use avatars, not use

Speaker:

avatars, any impact on maybe or

Speaker:

perceived impact on trust when we are or are not using them?

Speaker:

Yeah, that's a great question. We pretty much specifically did address that exact

Speaker:

fact in the survey. So there was a question that basically said,

Speaker:

when is it acceptable? In what style of video is it acceptable to use an

Speaker:

AI avatar to you? And we got pretty clear answers on that. So in

Speaker:

our study, our viewers were most accepting of an AI avatar in

Speaker:

an instructional or a video that heavily featured screen

Speaker:

based content. They were least comfortable when a personal

Speaker:

presence was needed, like a welcome video from a CEO

Speaker:

or a team update video, for example. Now, we didn't specifically ask

Speaker:

about trust, but you can kind of infer that if they found an AI

Speaker:

avatar acceptable, they would be like more okay with that video

Speaker:

overall. So if an AI avatar is used in a video that was

Speaker:

meant to distribute maybe personal or sensitive information, it could

Speaker:

really turn off your viewers. So our advice here at least is to be

Speaker:

intentional about the message of the videos, know your audience, and

Speaker:

kind of proceed, you know, with that information in mind.

Speaker:

Well, if I could follow up a little bit on that. It also seems like

Speaker:

the thing that you said earlier that 50% of people didn't know

Speaker:

when something was an avatar also maybe plays into

Speaker:

that kind of trust issue. If I don't know it's an avatar

Speaker:

and all of a sudden it's delivered maybe a very serious message that's

Speaker:

maybe inappropriate for an avatar that causes potentially real issues,

Speaker:

right? Yeah, absolutely. I mean, there's the

Speaker:

knowledge of whether it's an AI avatar to begin with and then there's the message

Speaker:

or the content that's trying to be delivered. So that's two separate factors there. And

Speaker:

you're right. If they don't necessarily know it's an avatar, it can

Speaker:

definitely seem sneaky, for lack of a better word.

Speaker:

If you're trying to, you know, use AI as a blanket for every human

Speaker:

visual presenter and every style of video and your viewers. And

Speaker:

especially if it's something like I mentioned, like a sensitive topic or a small team

Speaker:

update that's really going to make people, you know, sour on

Speaker:

your video because it's just not the appropriate metric. You should have spent, you

Speaker:

know, maybe an extra several minutes or however long it would take to be a

Speaker:

visual presenter in that video to kind of humanize that video quite a bit more.

Speaker:

Yeah, I'm waiting for the news articles to talk about the organization.

Speaker:

Hopefully never. But you know, use uses the AI to

Speaker:

avatar to lay off the workers or major

Speaker:

changes. We don't look forward to that day. But obviously there are some impacts

Speaker:

here. One, one of the impacts I think my audience is really interested in

Speaker:

is the learning aspect. Right. So You've got lots of

Speaker:

ways you could present content for people to learn from, particularly

Speaker:

from what you found in this research. Was there anything interesting about the type of

Speaker:

presentation of humans versus avatars and kind of

Speaker:

overall effectiveness in being able to perform a task?

Speaker:

Yeah, I mean, I kind of hit on this a little bit earlier too. But

Speaker:

in terms of the actual learning retention, the differences between four of the five

Speaker:

video types were very slight. Between the human full screen, human

Speaker:

picture in picture, the avatar full screen, and the audio visualizer.

Speaker:

We basically asked them kind of a pop quiz to answer a question that they

Speaker:

saw in the video. And between those four types of video, there was only really

Speaker:

a 3% difference in the amount of people that got the correct answer. So the

Speaker:

difference was very slight. But one of them really excelled above those, and that

Speaker:

is the avatar picture in picture, which actually performed 13%

Speaker:

better than any of those other four examples. So

Speaker:

I talked about this a little bit at the beginning, but people really rated that

Speaker:

video as higher quality. But alongside that, they got, you

Speaker:

know, the information that they received from that video. They were able to, you know,

Speaker:

internalize and answer a question later on in the survey more correctly with

Speaker:

that style of video. So like I said, they also had that

Speaker:

video also had the highest number of people that felt it was

Speaker:

professional, and it also had a higher learning retention. That's kind of like two stars

Speaker:

for that style of video, for sure. Yeah. And, you know, I

Speaker:

can think about different research from a different era. Right. Not looking

Speaker:

at avatars at all, but about on camera presence and, um,

Speaker:

you know, I think one thing that's always been interesting to me that with on

Speaker:

camera presence and again, not avatars, the research typically shows that

Speaker:

performance doesn't change, but people have a preference for it. Right. They

Speaker:

like having a person there or face there, but it's never.

Speaker:

It's, you know, usually a picture in picture, not all the time on screen. So

Speaker:

there are some elements that I think we could probably translate. But it is interesting

Speaker:

that they actually still perform better on the task. It's one of those ones. I'm

Speaker:

like, Stephanie, let's do more research on that. Let's find somebody to help us do

Speaker:

that, because that's super interesting about why that might be. And I know

Speaker:

we don't have answers for that, but something I'm definitely, definitely curious about.

Speaker:

And it does lead to the question of, like, as people are

Speaker:

leaning in here, maybe using more

Speaker:

avatars or want to use more avatars in their work,

Speaker:

is there advice that you can give us? Obviously, you're not an instructional

Speaker:

designer, you're not creating training videos. But from the research that you're seeing,

Speaker:

any advice that you could give people to help them use them maybe more strategically

Speaker:

or more effectively, I would say. Just

Speaker:

overall, and I think I said this with the AI voice research as well, is

Speaker:

if you have the flexibility and the buy in, you should try

Speaker:

it. It's not a you should never use this or you should always

Speaker:

use this. But my advice is to give it a try, kind of see

Speaker:

how it works out for you and your audience. And this study proves to me

Speaker:

that viewers are willing to watch videos with AI avatars,

Speaker:

accept the style, and really believe that the qual is sometimes good or even better

Speaker:

than with a human presenter. So for most cases, using an ar,

Speaker:

excuse me, AI avatar will not harm your video. It could even help

Speaker:

increase the information that your viewers retain. Now, there is an exception to

Speaker:

that which I touched on earlier, which is if your video is personal

Speaker:

or sensitive or something that really does need a human touch, we would not

Speaker:

recommend using an AI avatar for that situation because the viewers have told us

Speaker:

that that is not an acceptable use of that style. So I

Speaker:

certainly wouldn't say replace 100% of your human presenters with AI avatars.

Speaker:

But like I said earlier, I'd say know your video message, know your audience,

Speaker:

and basically proceed within reason. It's,

Speaker:

there's a comedian out there. I won't go into the whole story, but I'll rephrase.

Speaker:

One of the things that he would say and make it for this is like,

Speaker:

don't go avatar ing where you don't need no avatar in. Right? Like,

Speaker:

just don't, don't, don't go there. I,

Speaker:

I think there's, there's, like I mentioned at the kind of the opening, there are

Speaker:

people who are very skeptical and maybe hesitant

Speaker:

about avatars. And, and I love the advice, like if you have the means, you

Speaker:

have the kind of go ahead to try. But

Speaker:

anything specific out there for those people who are maybe saying no, I,

Speaker:

I'm negative towards these. I don't. Why would I want to use them

Speaker:

that we might. I. Look, I'm not trying to shift anyone's opinion here. We're not

Speaker:

trying to make giant waves, but I'm curious that it's a new technology, looks like

Speaker:

it has some potential. So what would we say to those folks who are a

Speaker:

little bit still on that, who are on that negative side? I

Speaker:

would kind of think about why they're skeptical. I'd say is it because they have

Speaker:

a mistrust of AI in general. There's kind of a sentiment towards that just in

Speaker:

culture today. Or is it because they have seen

Speaker:

videos where the AI avatar is terrible and it turned them off

Speaker:

from a video? So I think it's important to stay up to date on

Speaker:

what avatars look like and how far they have advanced to look human like,

Speaker:

as well as understanding basically what AI avatars can and cannot do.

Speaker:

As I mentioned with the particular types of videos earlier, you cannot replace

Speaker:

or you should not replace an AI avatar for a sensitive

Speaker:

or personal or, you know, small group video. But if

Speaker:

you're making a, you know, an instructional video that

Speaker:

primarily has a lot of screen content and you're looking

Speaker:

for something to provide a little visual interest or help engage

Speaker:

your viewers a little bit more, our research shows that viewers would be accepting of

Speaker:

an AI avatar in that situation. So if that's the type of video you're creating,

Speaker:

I think you have more leeway in terms of trying to include that in

Speaker:

your videos, but not on the alternative. As I mentioned, personal,

Speaker:

sensitive, you know, human touch. Don't do it.

Speaker:

Yeah, absolutely, Absolutely. Okay, so we've covered a lot

Speaker:

of research and again, it's out there on the TechSmith blog. I'm curious,

Speaker:

any questions that let's say we're looking at doing this again?

Speaker:

I hope we do. I hope we look at some other kind of related

Speaker:

areas. But any questions you'd want to try to answer if

Speaker:

and when you get a chance to do research again? Yeah, I

Speaker:

think the first thing is I would like to try and kind of compare these

Speaker:

videos to each other. Now I mentioned we did not do that in the study.

Speaker:

We had them watch one video and answer the questions. But I'd like to kind

Speaker:

of play around with trying to have them watch maybe a human

Speaker:

full screen and a human pip video and, you know, use that high

Speaker:

quality voice and kind of have them rate them versus each other

Speaker:

and kind of look at different aspects of that, whether, you know, we already talked

Speaker:

about learning, retention, maybe engagement, you know, which one do they feel

Speaker:

is more professional so that we can kind of evaluate one versus the other.

Speaker:

I'd also like to dig a little bit more deeper on engagement. We did not

Speaker:

really talk very much about engagement in this survey at all. But that

Speaker:

is primarily the focus of the video viewer study, which we did at the end

Speaker:

of 2024. So probably what my dream state would be would to

Speaker:

rerun this study but include a ton of metrics about engagement

Speaker:

and have them, you know, do multiple Videos versus each other, human versus

Speaker:

AI engagement, professionalism, quality, and probably be a

Speaker:

mega study. I don't know if my stakeholders will go for that because that seems

Speaker:

like a really big project. But I think it would be cool to kind of

Speaker:

mix those two and make one big study. Well, you've got my

Speaker:

support. Not that that means much, but I love the research

Speaker:

that you've done. And Stephanie, I think that

Speaker:

the thing that's really interesting to me about this is that one, we are in

Speaker:

this new era of this new technology that it is still a very

Speaker:

wide open, we don't know what we don't know kind of space.

Speaker:

And I'm. And I think there's a lot to learn and lot to understand.

Speaker:

So I'm grateful that you were willing to dive in. You and Troy

Speaker:

Stein really spearheaded this. And I'm just

Speaker:

blown away that it gives me at least something, at least for now,

Speaker:

knowing that in all of its imperfections, all the questions it doesn't answer because

Speaker:

that's good research. It never answers all the questions. It just creates more questions.

Speaker:

Typically. I love that it gives me at least a little bit of

Speaker:

guidance and direction because I'll be honest, I was a little

Speaker:

skeptical of avatars. And this has given me a little bit of that

Speaker:

impetus to feel like, yeah, I can, I can try doing that. I should try

Speaker:

using those a little bit more to see what's going to be most effective, particularly

Speaker:

on those repeatable things that change often because that's, you know,

Speaker:

if you got me, I can't record the same video a year

Speaker:

from now and have it look and feel the same. But an avatar, pretty sure

Speaker:

I can get them to be the same. So. Well, Stephanie, before

Speaker:

we go into our closing, anything else that we missed or didn't cover

Speaker:

that we should talk about for avatars? Probably

Speaker:

not the only my last kind of final two things I like to think about

Speaker:

is if you're interested in using AI avatar in video, my

Speaker:

advice would be to do some research and stay up to date on

Speaker:

what you can and, you know, what's out there and what's available for you. Matt,

Speaker:

as you mentioned, it's moving so fast that probably the research you've done

Speaker:

on Avatars 2 months ago is now may of date.

Speaker:

So try and immerse yourself if you want to use it. Make sure you can

Speaker:

understand how high quality they can be or, you know, what you want to include

Speaker:

in your video. And my other piece of advice, as we learned from the study,

Speaker:

is they are not applicable to all videos so make sure that you

Speaker:

know your message and you know your audience and you choose what is

Speaker:

appropriate for that video versus either, you know, going all in. We

Speaker:

would not necessarily recommend that. All right, well, thank you,

Speaker:

Stephanie. And so if people want to get involved in TechSmith research, we gave this

Speaker:

link last episode, but I think it's helpful to do it again. And where, where

Speaker:

can people connect with you and TechSmith Research? Sure.

Speaker:

So you can connect with me through my personal LinkedIn page, Stephanie Warnhoff.

Speaker:

Or if you are interested in more research at TechSmith, you can

Speaker:

send an email to our research email address, which is just

Speaker:

researchexmith.com we can get you signed up for,

Speaker:

you know, in depth interviews, for beta programs, for receiving some

Speaker:

surveys like this in the future. We have a lot of different research opportunities, so

Speaker:

emailing that email address and we'll basically get you on the list, so.

Speaker:

Perfect. Well, as we like to end most shows, Stephanie, we'd love

Speaker:

to hear from you on your final take. So Stephanie Warhol, what

Speaker:

is your final take? So my final take is that

Speaker:

in using AI avatars in your videos, you really need to know your audience

Speaker:

and know your purpose of your video. So if you are creating a video that

Speaker:

is long, instructional screen based, it's okay

Speaker:

to have some flexibility to try and add an AI avatar. But if you're creating

Speaker:

a personal or sensitive or small team

Speaker:

recording, just an update, it's not appropriate to replace a human presenter with

Speaker:

AI avatars. So make sure that you know your audience, know your message

Speaker:

and act appropriately in your videos. Perfect. Well,

Speaker:

thank you, Stephanie. Thanks for the great research. Awesome. Thank you very much,

Speaker:

Matt. You bet. All right everybody, if you're looking for

Speaker:

AI avatars, also just recommend go try TechSmith

Speaker:

Audio Camtasia Audit. It's got so many great cool features with the app. Got the

Speaker:

avatars, you can try those. You got the new 11 lab voices which sounds so

Speaker:

good. Hard to believe that they are AI. I can see why people

Speaker:

maybe said that's not AI, that's a real person. So go check those out. You

Speaker:

can try it for free. Or if you are using Camtasia, there's a

Speaker:

bunch of audio features that are available to you. The AI features are at the

Speaker:

higher level though, of course. But with that said, you know, part of this, why

Speaker:

we bring forth this research is to help you get better, make better decisions, think

Speaker:

through creating critically about what's going to make for good instruction, what's going to make

Speaker:

for good video. And of course in doing that process, you got to just keep

Speaker:

working at it. Keep trying and keep exploring and keep trying to get better

Speaker:

every single day. And with that said, I hope you take a little time

Speaker:

to level up every single day. Thanks, everybody.

About the Podcast

Show artwork for The Visual Lounge
The Visual Lounge
Discussions about the power of visuals and videos and how to make them even better.

About your host

Profile picture for Matthew Pierce

Matthew Pierce

Matthew Pierce, Learning & Video Ambassador from TechSmith Corporation, has created videos for learning and marketing for over a decade. He is the lead behind TechSmith Academy, a free platform teaching video and image creation for business, which has been used by tens of thousands of users. He is the host of The Visual Lounge Podcast from TechSmith, which streams live on Youtube and LinkedIn weekly. Matthew is a regular speaker at multiple learning and development-focused conferences and is a regular contributor to various training publications. Connect with him on LinkedIn.