AIMC Topic: Trust

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It's Not Only What You Say, But Also How You Say It: Machine Learning Approach to Estimate Trust from Conversation.

Human factors
OBJECTIVE: The objective of this study was to estimate trust from conversations using both lexical and acoustic data.

The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions.

BMC medical informatics and decision making
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient relationships. However, given the novelt...

Clinician Trust in Artificial Intelligence: What is Known and How Trust Can Be Facilitated.

Critical care clinics
Predictive analytics based on artificial intelligence (AI) offer clinicians the opportunity to leverage big data available in electronic health records (EHR) to improve clinical decision-making, and thus patient outcomes. Despite this, many barriers ...

How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains.

Memory & cognition
Few empirical studies have examined how people understand counterfactual explanations for other people's decisions, for example, "if you had asked for a lower amount, your loan application would have been approved". Yet many current Artificial Intell...

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. Although it has been established that AI is much more e...

Two is better than one: Apologies from two robots are preferred.

PloS one
Although the capabilities of service robots are increasing, avoiding any mistakes is difficult. Therefore, strategies for mitigating mistakes, such as apology behavior designs, are essential for service robots. Past studies reported that costly apolo...

Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.

Artificial intelligence in medicine
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by 'contextual explanations' that let the practitioner connect system inferences to their context of use. However, their importance in improving mo...

In robot we trust? The effect of emotional expressions and contextual cues on anthropomorphic trustworthiness.

Applied ergonomics
Following the evolution of technology and its application in various daily contexts, social robots work as an advanced artificial intelligence (AI) system to interact with humans. However, limited research has been done to discuss the role of emotion...