Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones

Patel, Shwetak; Kientz, Julie A.; Hayes, Gillian R.; Bhat, Sooraj; Abowd, Gregory D.

doi:10.1007/11853565_8

Cited by 93 publications

(60 citation statements)

References 20 publications

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“…This may explain why a mobile phone has been a popular platform for medication reminder or adherence systems in both academic and industrial settings [8,9,19,20]. However, mobile phones, when they are used alone for delivering reminders in the home, may present challenges, as mobile phones are not always kept close at hand within the home [21]. The result of our study suggests that concurrent multiple reminders on both a mobile phone and inhome accessories would lead to better results in medication adherence than a single reminder on the mobile phone.…”

Section: Value Ofportability In Medication Remindersmentioning

confidence: 99%

Investigating the potential of in-home devices for improving medication adherence

Lee

Tullio

Narasimhan

et al. 2009

Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare

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Abstract-We conducted five focus groups with seniors and middle-aged participants who live independently in their own homes to assess the potential value of a home-centered medication reminder system concept. The medication reminder system was conceptualized as a system that uses a television and set-top box, mobile phones and other in-home accessories as a means to set and deliver medication reminders. We found that the main value perceived by participants in the medication reminder system was its ability to provide multiple channels for them to be reminded of medications. The mobile phone, due to its advantages in portability and privacy, was considered to be the most useful device on which to receive reminders. Most participants saw value in receiving secondary reminders on other devices in their home such as the TV, PC, and other in-home accessories. Design implications along with other findings about the challenges faced by participants in managing their medications are discussed.

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Section: Value Ofportability In Medication Remindersmentioning

confidence: 99%

Investigating the potential of in-home devices for improving medication adherence

Lee

Tullio

Narasimhan

et al. 2009

Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare

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“…Multiple studies that used Bluetooth sensors to measure proximity to phones in naturalistic settings suggest that this assumption is only true about half of the time; it is reasonable, however, to assume that a phone is in the same room as its owner [36,37]. On a more fine-grained level, Dey et al's study on phone proximity found that phones were typically at arm's reach when a person was in a car, but not necessarily at home or at work; rather, phones were kept in a central location or may have had limited mobility due to being plugged in for charging.…”

Section: Human-computer Interaction Information Technology Mhealthmentioning

confidence: 99%

HCI and mobile health interventions

Poole

2013

Behav. Med. Pract. Policy Res.

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Advances in mobile computing offer the potential to change when, where, and how health interventions are delivered. Rather than relying on occasional in-clinic interactions, mobile health (mHealth) interventions may overcome constraints due to limited clinician time, poor patient adherence, and inability to provide meaningful interventions at the most appropriate time. Technological capability, however, does not equate with user acceptance and adoption. How then can we ensure that mobile technologies for behavior change meet the needs of their target audience? In this paper, we argue that overcoming acceptance and adoption barriers requires interdisciplinary collaborations, bringing together not only technologists and health researchers but also human-computer interaction (HCI) experts. We discuss the value of human-computer interaction research to the nascent field of mHealth and demonstrate how research from HCI can offer complementary insights on the creation of mobile health interventions. We conclude with a discussion of barriers to interdisciplinary collaborations in mobile health and suggest ways to overcome them. KeywordsHuman-computer interaction, Information technology, mHealth, Mobile technology Human-computer interaction is an interdisciplinary area of research and practice, drawing upon intellectual traditions of several disciplines including human factors, computer science, information systems, psychology, sociology, and visual design. For several decades, Human-computer interaction (HCI) research and practice has focused on designing human-centered technologies that fit into the everyday needs and routines of the people who use them [1], often referred to as user-centered design [2]. With this design philosophy, user needs are considered throughout the design of a technology-from initial requirements gathering to end stages of technology development. Rather than focusing on health outcomes or technical capabilities, a usercentered design approach provides insight into usability, usefulness, and fit of a technology into daily life. This approach can answer important questions on why technologies work in a given environment for a given set of users or why they fail to engage a target audience. In short, humancomputer interaction research can offer complementary insights into how people integrate smartphones, sensor networks, and social networks into their health behavior change efforts, as well as insight into how to design behavior change technologies such that they are more effective.Within HCI, there has been a recent movement to study the roles in which sensors, social networks, smartphones, and other technologies can take in behavior change related to water intake [3,4], diet [5][6][7][8][9][10][11], physical activity [12][13][14][15][16][17][18][19][20][21][22], healthy sleep behaviors [23,24], and chronic disease management [25][26][27][28][29][30]. Yet, there is a little overlap between HCI and the health sciences in these endeavors. This article not only describes the reasons for la...

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“…It was expected that the phone would be carried at the belt or in a pocket or purse some of the time. Given that previous research has shown that people do not necessarily carry their phones with them while at home [19], sound play was made loud enough to be heard within a room and adjacent spaces if the phone was set down.…”

Section: System Designmentioning

confidence: 99%

Context-Sensitive Microlearning of Foreign Language Vocabulary on a Mobile Device

Beaudin

Intille

Tapia

et al. 2007

Lecture Notes in Computer Science

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Abstract.We explore the use of ubiquitous sensing in the home for contextsensitive microlearning. To assess how users would respond to frequent and brief learning interactions tied to context, a sensor-triggered mobile phone application was developed, with foreign language vocabulary as the learning domain. A married couple used the system in a home environment, during the course of everyday activities, for a four-week study period. Built-in and stickon multi-modal sensors detected the participants' interactions with hundreds of objects, furniture, and appliances. Sensor activations triggered the audio presentation of English and Spanish phrases associated with object use. Phrases were presented on average 57 times an hour; this intense interaction was found to be acceptable even after extended use. Based on interview feedback, we consider design attributes that may have reduced the interruption burden and helped sustain user interest, and which may be applicable to other contextsensitive, always-on systems.

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Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones

Cited by 93 publications

References 20 publications

Investigating the potential of in-home devices for improving medication adherence

Investigating the potential of in-home devices for improving medication adherence

HCI and mobile health interventions

Context-Sensitive Microlearning of Foreign Language Vocabulary on a Mobile Device

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