@inproceedings{MalhotraYuSchroederetal., author = {Malhotra, Aarti and Yu, Lifei and Schr{\"o}der, Tobias and Hoey, Jesse}, title = {An exploratory study into the use of an emotionally aware cognitive assistant}, series = {AAAI Workshop : Artificial Intelligence Applied to Assistive Technologies and Smart Environments}, booktitle = {AAAI Workshop : Artificial Intelligence Applied to Assistive Technologies and Smart Environments}, publisher = {Association for the Advancement of Artificial Intelligence}, address = {Palo Alto}, pages = {6}, abstract = {This paper presents an exploratory study conducted to understand how audio-visual prompts are understood by people on an emotional level as a first step towards the more challenging task of designing emotionally aligned prompts for persons with cognitive disabilities such as Alzheimer's disease and related dementias (ADRD). Persons with ADRD often need assistance from a caregiver to complete daily living activities such as washing hands, making food, or getting dressed. Artificially intelligent systems have been developed that can assist in such situations. This paper presents a set of prompt videos of a virtual human 'Rachel', wherein she expressively communicates prompts at each step of a simple hand washing task, with various human-like emotions and behaviors. A user study was conducted for 30 such videos with respect to three basic and important dimensions of emotional experience: evaluation, potency, and activity. The results show that, while people generally agree on the evaluation (valence: good/bad) of a prompt, consensus about power and activity is not as socially homogeneous. Our long term aim is to enhance such systems by delivering automated prompts that are emotionally aligned with individuals in order to help with prompt adherence and with long-term adoption.}, subject = {Audiovisuelles Material}, language = {en} } @inproceedings{LinCzarnuchMalhotraetal., author = {Lin, Luyuan and Czarnuch, Stephen and Malhotra, Aarti and Yu, Lifei and Schr{\"o}der, Tobias and Hoey, Jesse}, title = {Affectively Aligned Cognitive Assistance Using Bayesian Affect Control Theory}, series = {Ambient Assisted Living and Daily Activities}, booktitle = {Ambient Assisted Living and Daily Activities}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-13105-4}, issn = {1611-3349}, doi = {10.1007/978-3-319-13105-4_41}, pages = {279 -- 287}, abstract = {This paper describes a novel emotionally intelligent cognitive assistant to engage and help older adults with Alzheimer's disease (AD) to complete activities of daily living (ADL) more independently. Our new system combines two research streams. First, the development of cognitive assistants with artificially intelligent controllers using partially observable Markov decision processes (POMDPs). Second, a model of the dynamics of emotion and identity called Affect Control Theory that arises from the sociological literature on culturally shared sentiments. We present background material on both of these research streams, and then demonstrate a prototype assistive technology that combines the two. We discuss the affective reasoning, the probabilistic and decision-theoretic reasoning, the computer-vision based activity monitoring, the embodied prompting, and we show results in proof-of-concept tests.}, subject = {Dichte }, language = {en} }