Despite advances in areas such as the personalization of robots, sustaining adoption of robots for long-term use in families remains a challenge. Recent studies have identified integrating robots into families’ routines and rituals as a promising approach to support long-term adoption. However, few studies explored the integration of robots into family routines and there is a gap in systematic measures to capture family preferences for robot integration. Building upon existing routine inventories, we developed Family-Robot Routines Inventory (FRRI), with 24 family routines and 24 child routine items, to capture parents’ attitudes toward and expectations from the integration of robotic technology into their family routines. Using this inventory, we collected data from 150 parents through an online survey. Our analysis indicates that parents had varying perceptions for the utility of integrating robots into their routines. For example, parents found robot integration to be more helpful in children’s individual routines, than to the collective routines of their families. We discuss the design implications of these preliminary findings, and how they may serve as a first step toward understanding the diverse challenges and demands of designing and integrating household robots for families.
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Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers
Although some research highlights the benefits of behavioral routines for individual functioning, other research indicates that routines can reflect an individual's inflexibility and lower well-being. Given conflicting accounts on the benefits of routine, research is needed to examine how routineness versus flexibility in health-related behaviors correspond to personality traits, health, and occupational outcomes. We adopt a nonlinear dynamical systems approach to understanding routine using automatically sensed health-related behaviors collected from 483 information workers over a roughly two-month period. We utilized multidimensional recurrence quantification analysis to derive a measure of health regularity (routineness) from measures of daily step count, sleep duration, and heart rate variability (which relates to stress). Participants also completed measures of personality, health, and job performance at the start of the study and for two months via Ecological Momentary Assessments. Greater regularity was associated with higher neuroticism, lower agreeableness, and greater interpersonal and organizational deviance. Importantly, these results were independent of overall levels of each health indicator in addition to demographics. It is often believed that routine is desirable, but the results suggest that associations with routineness are more nuanced, and wearable sensors can provide insights into beneficial health behaviors.
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- PAR ID:
- 10356006
- Date Published:
- Journal Name:
- ACM Transactions on Computing for Healthcare
- Volume:
- 3
- Issue:
- 3
- ISSN:
- 2691-1957
- Page Range / eLocation ID:
- 1 to 27
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Despite advances in areas such as the personalization of robots, sustaining adoption of robots for long-term use in families remains a challenge. Recent studies have identified integrating robots into families’ routines and rituals as a promising approach to support long-term adoption. However, few studies explored the integration of robots into family routines and there is a gap in systematic measures to capture family preferences for robot integration. Building upon existing routine inventories, we developed Family-Robot Routines Inventory (FRRI), with 24 family routines and 24 child routine items, to capture parents’ attitudes toward and expectations from the integration of robotic technology into their family routines. Using this inventory, we collected data from 150 parents through an online survey. Our analysis indicates that parents had varying perceptions for the utility of integrating robots into their routines. For example, parents found robot integration to be more helpful in children’s individual routines, than to the collective routines of their families. We discuss the design implications of these preliminary findings, and how they may serve as a first step toward understanding the diverse challenges and demands of designing and integrating household robots for families.more » « less
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We use evidence from a disruption of clinical documentation routines to propose a novel, predictive mechanism for routine dynamics based on path coherence. Path coherence refers to the continuity of situational attributes from one event to the next along a path, for example, a set of activities conducted by the same person has high actor coherence. Situational attributes include classic descriptors such as who, what, when, where, and why. To be recognized as a path, a minimal level of coherence is required, but path coherence can vary along a path. For example, in a medical clinic, typical paths flow from place to place (e.g., reception, waiting room, exam room) and involve different clinical staff (e.g., receptionist, nurse, physician). Using latent factor network models, we compare clinical documentation routines in five outpatient clinics before and after a technological disruption (an upgrade to the electronic health record system). We show that coherent paths are up to 14 times more likely to persist and up to 40 times more likely to form than less coherent paths. We use these findings to theorize about the role of path coherence in routine dynamics. Path coherence in narrative networks is like homophily in social networks, but with a completely different underlying mechanism. We discuss the implications of our findings for organizational path dependence, resilience, and inertia.more » « less
Funding: This research was supported by the National Science Foundation [Grants SES-1734237 and BCS-2120530]. This research was also supported in part by the University of Rochester CTSA [Grant UL1 TR002001] from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH).
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3514259
