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As we build towards developing interactive systems that can recognize human emotional states and respond to individual needs more intuitively and empathetically in more personalized and context-aware computing time.
Assessing users’ mental status from their journaling behavior through chatbots. In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents . 1–8
Masamune Kawasaki, Naomi Yamashita, Yi-Chieh Lee, and Kayoko Nohara. 2020 · 2020
Earlier work this paper cites.
Questioning the AI: informing design practices for explainable AI user experiences. In Proceedings of the 2020 CHI conference on human factors in computing systems . 1–15
Q Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Earlier work this paper cites.
Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model
Rebecca B Price and Ronald Duman. 2020 · 2020
Earlier work this paper cites.
Designing accessible, explainable AI (XAI) experiences
Christine T Wolf and Kathryn E Ringland. 2020 · 2020
Cited alongside, same era.
A chatbot architecture for promoting youth resilience
Healthier Lives, Digitally Enabled, M Merolli, et al · 2021
Cited alongside, same era.
Human-centered XAI: Developing design patterns for explanations of clinical decision support systems
Tjeerd AJ Schoonderwoerd, Wiard Jorritsma, Mark A Neerincx, and Karel Van Den Bosch. 2021 · 2021
Later among the works it cites.
Cognitive reframing of negative thoughts through human-language model interaction
Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, David Wadden, Khendra G Lucas, Adam S Miner, Theresa Nguyen, and Tim Althoff. 2023 · 2023
Later among the works it cites.
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