scholarly journals Reimbursement patterns and user experiences in pediatric allergy home telehealth

2020 ◽  
Vol 125 (6) ◽  
pp. 693-698.e1 ◽  
Author(s):  
Preeya Mehta ◽  
Melinda Braskett ◽  
Jonathan S. Tam ◽  
Juan Espinoza
Keyword(s):  
User Experiences ◽  
Pediatric Allergy ◽  
Home Telehealth

scholarly journals Self-tracking of/and time: From technological to biographical and political temporalities of work and sitting

2020 ◽  
pp. 146144482098332
Author(s):  
Paula Saukko ◽  
Amie Weedon
Keyword(s):  
Public Sector ◽  
Work Conditions ◽  
Free Time ◽  
Office Workers ◽  
Sitting Time ◽  
User Experiences ◽  
Tracking Devices

Self-tracking devices have been observed to accelerate time, be used sporadically and busyness being a barrier to use at work. Drawing on notion of multiple temporalities, this article expands the focus on temporalities of users’ engagement with technologies to analysing them within broader biographical, institutional and political times. The argument is grounded in interviews with UK public sector office workers self-tracking sitting time that featured the following three themes: (1) the participants related their sitting to deteriorated work conditions after government austerity politics and redundancies, (2) the pressurised rhythm of work made it difficult to reduce sitting time and fostered a sense of discontent and powerlessness and (3) the workers did not self-track in their free time, defined as free from monitoring. We suggest that the analytical lens of multiple temporalities expands understanding of user experiences as well as illuminates lived contemporary political and institutional times, characterised by both discontent and powerlessness.

scholarly journals User Experiences with Online Status Indicators

2020 ◽  
Author(s):  
Camille Cobb ◽  
Lucy Simko ◽  
Tadayoshi Kohno ◽  
Alexis Hiniker
Keyword(s):  
User Experiences

The perception of humanness in conversational journalism: An algorithmic information-processing perspective

2021 ◽  
pp. 146144482199380
Author(s):  
Donghee Shin
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Cognitive Model ◽  
Human Beings ◽  
User Perception ◽  
User Experiences ◽  
Step Flow ◽  
Algorithmic Information ◽  
Information Processing Perspective ◽  
Practical Implications

How much do anthropomorphisms influence the perception of users about whether they are conversing with a human or an algorithm in a chatbot environment? We develop a cognitive model using the constructs of anthropomorphism and explainability to explain user experiences with conversational journalism (CJ) in the context of chatbot news. We examine how users perceive anthropomorphic and explanatory cues, and how these stimuli influence user perception of and attitudes toward CJ. Anthropomorphic explanations of why and how certain items are recommended afford users a sense of humanness, which then affects trust and emotional assurance. Perceived humanness triggers a two-step flow of interaction by defining the baseline to make a judgment about the qualities of CJ and by affording the capacity to interact with chatbots concerning their intention to interact with chatbots. We develop practical implications relevant to chatbots and ascertain the significance of humanness as a social cue in CJ. We offer a theoretical lens through which to characterize humanness as a key mechanism of human–artificial intelligence (AI) interaction, of which the eventual goal is humans perceive AI as human beings. Our results help to better understand human–chatbot interaction in CJ by illustrating how humans interact with chatbots and explaining why humans accept the way of CJ.

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