Sökning: "Affective Computing"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden Affective Computing.

  1. 1. Emotion AI in Mental Healthcare : How can affective computing enhance mental healthcare for young adults?

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nassim Sheykholeslami; [2022]
    Nyckelord :Artificial Intelligence; Emotion AI; Affective Computing; Machine Learning; Mental Health; Digital Mental Health Applications; mHealth; Anxiety; Depression; Psychological Therapy; COVID-19; Artificiell intelligens; känslobaserad AI; affektiv databehandling; maskininlärning; psykisk hälsa; digitala tillämpningar för psykisk hälsa; mHälsa; ångest; depression; psykologisk terapi; COVID-19;

    Sammanfattning : There has been a stigma attached to mental health for years, with many people afraid to seek help from mental health professionals due to negative stereotypes about those seeking help. Young adults in particular are still reluctant in regards to seeing a therapist since they are ashamed, do not want to show weakness or they perceive their need for therapy as low. LÄS MER

  2. 2. Zenth : An Affective Technology for Stress Relief

    Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Aleksandra Chayleva; [2022]
    Nyckelord :stress; mental health; affective computing; wearables; interactive technology; physiology;

    Sammanfattning : This master's thesis presents a research-through-design process that explores how can affective, context-aware systems support mental health and minimize stress in young adults during exam periods. This is achieved by designing an interactive system for stress recognition and relief. LÄS MER

  3. 3. Art Class Stinks : Exploring Olfactory Interaction Design and Its Potential to Enrich Learning in Art Education

    Master-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Maria Nikoli; [2022]
    Nyckelord :embodied; olfactory interaction; physical computing; art; education; olfactory display;

    Sammanfattning : The sense of smell is crucial to everyday activities that make life pleasurable, such as eating, and it is also key to detecting danger, such as fire or rotten food. In addition, it is strongly linked with memory retrieval, it can induce affective states, and may even enhance the sense of presence in immersive environments. LÄS MER

  4. 4. Hotspot Detection for Automatic Podcast Trailer Generation

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Winstead Xingran Zhu; [2021]
    Nyckelord :automatic podcast trailer generation; hotspot detection; speech emotion recognition; text emotion recognition; text arousal detection; pull-quote selection; music detection; laughter detection; affect analysis; affective computing; machine learning; neural network;

    Sammanfattning : With podcasts being a fast growing audio-only form of media, an effective way of promoting different podcast shows becomes more and more vital to all the stakeholders concerned, including the podcast creators, the podcast streaming platforms, and the podcast listeners. This thesis investigates the relatively little studied topic of automatic podcast trailer generation, with the purpose of en- hancing the overall visibility and publicity of different podcast contents and gen- erating more user engagement in podcast listening. LÄS MER

  5. 5. Context-based Multimodal Machine Learning on Game Oriented Data for Affective State Recognition

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ilian Corneliussen; [2021]
    Nyckelord :Telepresence; Affective Recognition; Multimodal Machine Learning; Human- Robot Interaction; Telepresence; Affektiv Igenkänning; Multimodal Maskininlärning; Robot och Människa Interaktion;

    Sammanfattning : Affective computing is an essential part of Human-Robot Interaction, where knowing the human’s emotional state is crucial to create an interactive and adaptive social robot. Previous work has mainly been focusing on using unimodal or multimodal sequential models for Affective State Recognition. LÄS MER