AIMC Topic: Motivation

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Expectations vs. actual behavior of a social robot: An experimental investigation of the effects of a social robot's interaction skill level and its expected future role on people's evaluations.

PloS one
Since social robots are increasingly entering areas of people's personal lives, it is crucial to examine what affects people's perceptions and evaluations of these robots. In this study, three potential influences are examined: 1) the robot's level o...

Expectations versus reality: trainee participation on the robotic console in academic surgery.

Surgical endoscopy
INTRODUCTION: Trainees underestimate the amount of operative autonomy they receive, whereas faculty overestimate; this has not been studied in robotics. We aimed to assess the perceptions and expectations of our general surgery trainees and faculty o...

A Gesture-Controlled Rehabilitation Robot to Improve Engagement and Quantify Movement Performance.

Sensors (Basel, Switzerland)
Rehabilitation requires repetitive and coordinated movements for effective treatment, which are contingent on patient compliance and motivation. However, the monotony, intensity, and expense of most therapy routines do not promote engagement. Gesture...

Modeling motivation for alcohol in humans using traditional and machine learning approaches.

Addiction biology
Given the significant cost of alcohol use disorder (AUD), identifying risk factors for alcohol seeking represents a research priority. Prominent addiction theories emphasize the role of motivation in the alcohol seeking process, which has largely bee...

Cohort selection for clinical trials using multiple instance learning.

Journal of biomedical informatics
Identifying patients eligible for clinical trials using electronic health records (EHRs) is a challenging task usually requiring a comprehensive analysis of information stored in multiple EHRs of a patient. The goal of this study is to investigate di...

Unraveling the Mysteries of Motivation.

Trends in cognitive sciences
Motivation plays a central role in human behavior and cognition but is not well captured by widely used artificial intelligence (AI) and computational modeling frameworks. This Opinion article addresses two central questions regarding the nature of m...

Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction.

Journal of neuroengineering and rehabilitation
BACKGROUND: The worldwide population of older adults will soon exceed the capacity of assisted living facilities. Accordingly, we aim to understand whether appropriately designed robots could help older adults stay active at home.

Impacts of robot implementation on care personnel and clients in elderly-care institutions.

International journal of medical informatics
BACKGROUND: Digital technologies, including robots, are being increasingly used in elderly care. Their impact on users carries implications for successfully integrating technological innovations into care. This study aims to identify the impacts of c...

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

Drug and alcohol dependence
BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.