Artwork

Indhold leveret af Avnet Silica. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Avnet Silica eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
Player FM - Podcast-app
Gå offline med appen Player FM !

We talk IoT: Emotion in the Machine: Exploring Affective Computing - Episode 45

27:47
 
Del
 

Manage episode 389385585 series 3378840
Indhold leveret af Avnet Silica. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Avnet Silica eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

With the rapid growth of IoT devices around us, imagine if our gadgets could not only process information but also understand and respond to our emotions.

Today’s special guest is Nina Holzer. She is a researcher from the renowned Fraunhofer Institute for Integrated Circuits IIS and the team lead for 'Multimodal Human Sensing'.

Together, we'll explore the fascinating intersection of human emotions, artificial intelligence, and the future of human-computer interaction. So, tune in as we delve deep into the heartbeats of our machines.

#affectivecomputing #humanmachineinteraction #ai #wetalkiot

Summary of this week's episode:

(01:59) Introductions

(02:32) What is affective computing

(04:35) Use cases for affective computing

(11:03) Challenges in decoding emotions

(16:31) Ethical considerations

(19:32) Researching cognitive load

(23:48) The relationship between humans and machines

Show notes:

Nina Holzer: https://www.linkedin.com/in/nina-holzer-15357b262/

Mental Overload Database: https://www.iis.fraunhofer.de/en/ff/sse/sse-automotive/multimodal-data-set-for-mental-overload-adabase.html

Research on affective computing: https://www.iis.fraunhofer.de/en/ff/sse/affective-computing.html

About Avnet Silica:

This podcast is brought to you by Avnet Silica - The Engineers of Evolution: https://my.avnet.com/silica/resources/podcast/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/.

  continue reading

60 episoder

Artwork
iconDel
 
Manage episode 389385585 series 3378840
Indhold leveret af Avnet Silica. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Avnet Silica eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

With the rapid growth of IoT devices around us, imagine if our gadgets could not only process information but also understand and respond to our emotions.

Today’s special guest is Nina Holzer. She is a researcher from the renowned Fraunhofer Institute for Integrated Circuits IIS and the team lead for 'Multimodal Human Sensing'.

Together, we'll explore the fascinating intersection of human emotions, artificial intelligence, and the future of human-computer interaction. So, tune in as we delve deep into the heartbeats of our machines.

#affectivecomputing #humanmachineinteraction #ai #wetalkiot

Summary of this week's episode:

(01:59) Introductions

(02:32) What is affective computing

(04:35) Use cases for affective computing

(11:03) Challenges in decoding emotions

(16:31) Ethical considerations

(19:32) Researching cognitive load

(23:48) The relationship between humans and machines

Show notes:

Nina Holzer: https://www.linkedin.com/in/nina-holzer-15357b262/

Mental Overload Database: https://www.iis.fraunhofer.de/en/ff/sse/sse-automotive/multimodal-data-set-for-mental-overload-adabase.html

Research on affective computing: https://www.iis.fraunhofer.de/en/ff/sse/affective-computing.html

About Avnet Silica:

This podcast is brought to you by Avnet Silica - The Engineers of Evolution: https://my.avnet.com/silica/resources/podcast/

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/.

  continue reading

60 episoder

Semua episod

×
 
Loading …

Velkommen til Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Hurtig referencevejledning

Lyt til dette show, mens du udforsker
Afspil