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The purpose of this paper is to determine the relationship between trait and situational empathy, and the effect of educational activities on empathy of nursing students towards people living with dementia.

This embedded mixed-methods study compared trait and situational empathy examined situational empathy pre/post didactic and experiential activities with nursing students and used qualitative data from focus group discussions to corroborate the quantitative data.

There was no significant difference between trait and situational empathy. Post intervention scores (situational) demonstrated improvements on empathic concern, shared affect, empathic imagination, helping motivation and cognitive empathy. Focus group discussions supported quantitative findings and also included distress.

Limitations include lack of generalizability, single group threats and exclusion of stakeholder input. Single group threats include absence of a control group, familiarity with the CSES from pre-test to post-test and reactive measurements, as the students were observed by faculty while completing the Dementia Live activity. The perspective of stakeholders would strengthen the impact of the results on implementation.

Information gleaned from this study can help inform administrators in education and in practice. CliftonStrengths assessment and Dementia Live simulation activities can be used for administrators, faculty and students in schools of nursing as well as administrators and health-care workers.

Information from this study can impact those living with dementia as well as their caregivers.

Most studies involving health-care students and empathy do not delineate between trait and situational empathy. This study is unique in that it measured both and sought a relationship between the two. Determining one's personal attributes such as trait empathy, can help students capitalize on their strengths and ultimately enhance patient care.

Service robots can offer benefits to consumers (e.g. convenience, flexibility, availability, efficiency) and service providers (e.g. cost savings), but a lack of trust hinders consumer adoption. To enhance trust, firms add human-like features to robots; yet, anthropomorphism theory is ambiguous about their appropriate implementation. This study therefore aims to investigate what is more effective for fostering trust: appearance features that are more human-like or social functioning features that are more human-like.

In an experimental field study, a humanoid service robot displayed gaze cues in the form of changing eye colour in one condition and static eye colour in the other. Thus, the robot was more human-like in its social functioning in one condition (displaying gaze cues, but not in the way that humans do) and more human-like in its appearance in the other (static eye colour, but no gaze cues). Self-reported data from 114 participants revealing their perceptions of trust, anthropomorphism, interaction comfort, enjoyment and intention to use were analysed using partial least squares path modelling.

Interaction comfort moderates the effect of gaze cues on anthropomorphism, insofar as gaze cues increase anthropomorphism when comfort is low and decrease it when comfort is high. Anthropomorphism drives trust, intention to use and enjoyment.

To extend human–robot interaction literature, the findings provide novel theoretical understanding of anthropomorphism directed towards humanoid robots.

By investigating which features influence trust, this study gives managers insights into reasons for selecting or optimizing humanoid robots for service interactions.

This study examines the difference between appearance and social functioning features as drivers of anthropomorphism and trust, which can benefit research on self-service technology adoption.