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Paper Number

2420

Paper Type

Completed

Description

The use of video consultations to deliver healthcare has increased spectacularly since the onset of the Covid-19 pandemic, with applications in psychotherapy proving particularly useful. While generally perceived as an adequate substitute for face-to-face interactions, video consultations have proven to aggravate problems related to maintaining strong therapeutic relationships. We build on psychology and IS literature to present an embodied interaction system that can contribute to mitigating the derogatory effects that occur when the potential for nonverbal communication is reduced. Based on an analysis of behavioral intentions, we present initial empirical evidence that potential users are indeed willing to engage with embodied interaction systems in a clinical context. Our results also suggest that potential users expect the adoption of the system to be more arduous relative to traditional interaction systems. We derive implications for research and practice that can be used to improve interaction system designs and quality of care.

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16-HealthCare

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Dec 11th, 12:00 AM

How Do You Feel? Intentions to Use Embodied Interaction in Video-Based Psychotherapy

The use of video consultations to deliver healthcare has increased spectacularly since the onset of the Covid-19 pandemic, with applications in psychotherapy proving particularly useful. While generally perceived as an adequate substitute for face-to-face interactions, video consultations have proven to aggravate problems related to maintaining strong therapeutic relationships. We build on psychology and IS literature to present an embodied interaction system that can contribute to mitigating the derogatory effects that occur when the potential for nonverbal communication is reduced. Based on an analysis of behavioral intentions, we present initial empirical evidence that potential users are indeed willing to engage with embodied interaction systems in a clinical context. Our results also suggest that potential users expect the adoption of the system to be more arduous relative to traditional interaction systems. We derive implications for research and practice that can be used to improve interaction system designs and quality of care.

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