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Establishing the Foundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitation Among High-Risk Patients With Dementia: Protocol for an Empathetic Patient-Robot Interaction Study

Establishing the Foundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitation Among High-Risk Patients With Dementia: Protocol for an Empathetic Patient-Robot Interaction Study

To enhance the existing literature review seamlessly, we will delve deeper into data sets that provide a nuanced perspective on dementia-related research; for example, 1 data set that stands out is Dem@Care, which serves as a resource with its collection of video and audio recordings captured in both laboratory and home settings using the Microsoft Kinect red-green-blue-D device. This data set goes further by including information on sleep patterns and physiological aspects.

Adeline Nyamathi, Nikil Dutt, Jung-Ah Lee, Amir M Rahmani, Mahkameh Rasouli, Donna Krogh, Erik Krogh, David Sultzer, Humayun Rashid, Hamza Liaqat, Riyam Jawad, Farhan Azhar, Ali Ahmad, Bilal Qamar, Taha Yasin Bhatti, Chet Khay, Jocelyn Ludlow, Lisa Gibbs, Julie Rousseau, Mahyar Abbasian, Yutong Song, Cheonkam Jeong, Sabine Brunswicker

JMIR Res Protoc 2024;13:e55761

Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study

Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study

(A) REM and light sleep durations; (B) heart rate and heart rate variability collected by ring; (C) atmospheric pressure (altitude) and step counts collected by smart watch; and (D) location change and commute events detected by the Personicle app on the phone. REM: rapid eye movement. Smoothed distribution of (A) negative affect (NA) and (B) averaged positive affect (PA) of 7 selected participants. NAs tend to have a narrower distribution compared to PAs.

Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh C Jain, Nikil Dutt, Jessica L Borelli, Amir Rahmani

JMIR Form Res 2023;7:e39425

Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

Digital Health–Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

We propose D-CCC as an improved model to move CCC into the future. Design conceptualization for the D-CCC model reflects a multidisciplinary collaboration among nursing, computer science, engineering, and human-computer interaction experts composing the D-CCC team. D-CCC constitutes a novel integrated, intelligent, and automated closed-loop technology platform designed for, and with, CHWs.

Sarah M Rodrigues, Anil Kanduri, Adeline Nyamathi, Nikil Dutt, Pramod Khargonekar, Amir M Rahmani

JMIR Form Res 2022;6(4):e29535

A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

A Technology-Based Pregnancy Health and Wellness Intervention (Two Happy Hearts): Case Study

The Center for Epidemiologic Studies Depression Scale (CES-D) [40] was used to measure depression symptoms on a 4-point Likert scale, ranging from 0 (Rarely or none of the time: less than 1 day) to 3 (Most or all of the time: 5-7 days). An example question of the CES-D is “In the past week, I was bothered by things that usually do not bother me.” The CES-D included 20 items, with scores ranging from 0 to 60 points.

Tamara Jimah, Holly Borg, Priscilla Kehoe, Pamela Pimentel, Arlene Turner, Sina Labbaf, Milad Asgari Mehrabadi, Amir M. Rahmani, Nikil Dutt, Yuqing Guo

JMIR Form Res 2021;5(11):e30991

The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis

The Causality Inference of Public Interest in Restaurants and Bars on Daily COVID-19 Cases in the United States: Google Trends Analysis

Effects of restaurant and bar search trends on daily cases of COVID-19 in Delaware (A, B) and California (C, D) from April 9 to July 7, 2020. In this section, we provide the results of the Granger causality tests for the 10 US states and territories with the highest and lowest numbers of daily new cases as of July 7, 2020. The P values for California are small, indicating that the effect of the search queries is significant; hence, these searches can be used to predict daily new cases.

Milad Asgari Mehrabadi, Nikil Dutt, Amir M Rahmani

JMIR Public Health Surveill 2021;7(4):e22880