Tools for Studying Behavior and Technology in Natural Settings

Intille, Stephen; Tapia, Emmanuel Munguia; Rondoni, John; Beaudin, Jennifer; Kukla, Chuck; Agarwal, Sitij; Bao, Ling; Larson, Kent

doi:10.1007/978-3-540-39653-6_13

Cited by 86 publications

(69 citation statements)

References 16 publications

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“…As pointed out by Rogers (2011), new pervasive technologies should address a wider understanding on how people experience daily life, moving from laboratory to more realistic design and testing settings. Intille et al (2003) state that developing meaningful ubiquitous computing applications first requires a global understanding of how people behave in context.…”

Section: In-situ and Self-reflection Methodsmentioning

confidence: 99%

“…With ESM participants make a quick record close to the moment of interest, providing instant reports on momentary experiences instead of having to recall what they did in the past. The involvement of context-aware technologies in ESM opens the opportunity to automatize the capturing of context around participants' self-reports (Barren and Barren 2001; Consolvo et al 2006;Intille et al 2003). Furthermore, contextual information could help to adapt the timing and content of the prompts minimizing interruptions as well as tailoring the research questions according to what is been observed (Vastenburg and Romero, 2010).…”

Section: In-situ and Self-reflection Methodsmentioning

confidence: 99%

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An Integrated Patient-Centric Approach for Situated Research on Total Hip Replacement: ESTHER

et al. 2014

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Abstract.Homecare is believed to alleviate the care responsibilities that professionals and health institutions are facing due to increasing need for care that our current society demands. Relying on the emergence of technological innovations homecare could empower patients to undertake a more active role in the care practice. Understanding the value of technologies to support patients' awareness and reflection of their own progress is argued as an important step to design appropriate mechanisms that fit patients' needs. This chapter discusses an integrated patient-centric approach to design homecare technologies considering patients' personal experiences and social context as crucial aspects when providing care support. This approach proposes the development of in-situ methods and tools to provide a holistic view of patients care experience through the design of interventions in the context of use. The development of ESTHER (Experience Sampling for Total Hip Replacement) is presented to illustrate the benefits and challenges of conducting in-situ research by supporting the collection of physical activity and emotional states in order for patients to self-monitor and self-reflect on the progress of their recovery.The transition from open and simple interventions to more complex and specific ones opens the discussion of the role of technology to introduce new practices that uncover richer experiences by influencing patient's care activities via self-reporting and self-reflecting mechanisms. The gradual introduction of technologies to uncover from general to more specific experiences it does not only address research needs, more important it brings an understanding on the acceptance of technologies in patients' care practices. The consequence is a new generation of research to application tools that bring a closer understanding of patients' experiences and context to inform the design of supportive homecare technologies that embrace a more active role of patients.

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Section: In-situ and Self-reflection Methodsmentioning

confidence: 99%

Section: In-situ and Self-reflection Methodsmentioning

confidence: 99%

An Integrated Patient-Centric Approach for Situated Research on Total Hip Replacement: ESTHER

et al. 2014

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“…Context aware applications employ a broad range of sensors such as electronic tags, light sensing and physiological sensing. However, integration and the subsequent interpretation of these signals is hard, and context aware systems are likely to consider contexts differently than users do [6]. For example, when a user decides to watch a movie at home and closes the blinds to make the room darker, the system may automatically switch on the lights.…”

Section: Emerging Hci Systemsmentioning

confidence: 99%

“…They can be anywhere between responsive and pro-active. An example that lies somewhere in between responsive and pro-active is for instance the smart home described in Intille et al [6] where the system suggests users which clothes to wear given the outside temperature, or suggests measures to save energy. From a system point of view, smart homes have the task to maintain the homeostasis of the environment, and to support the users that are living in it.…”

Section: Smart Homesmentioning

confidence: 99%

Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications

Poppe

Rienks

Dijk

2007

Artifical Intelligence for Human Computing

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Abstract. Current evaluation methods are inappropriate for emerging HCI applications. In this paper, we give three examples of these applications and show that traditional evaluation methods fail. We identify trends in HCI development and discuss the issues that arise with evaluation. We aim at achieving increased awareness that evaluation too has to evolve in order to support the emerging trends in HCI systems.

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“…Methodological studies have examined how audio and photographic capture impacts diary studies (see [25]), but diary methods are still prone to recollection and compliance problems when the initiative for recording all data is left to the informant. In order to study daily-life activities a sensor-based variant of experience sampling has been proposed, called the event sampling method [26]. According to Larson and Csikszentmihalyi [27] experience sampling involves prompting users to self-report at random, or at scheduled moments in the day, thereby forcing through the protocol the timing of the inquiry.…”

Section: Ambient Journalingmentioning

confidence: 99%

The Persuasiveness of Ambient Intelligence

Aarts¹,

Markopoulos

Ruyter³

2007

Security, Privacy, and Trust in Modern Data Management

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Summary. Ambient intelligence (AmI) is a novel concept for embedded computing that builds on the large-scale integration of electronic devices into peoples' surroundings and the ubiquitous availability of digital information to the users of such environments. The concept however is not only concerned with the integration of computing in the background but, as a direct result of the disappearing computer and the corresponding interaction technologies, it calls for novel means of control that support the natural and intelligent use of such smart environments, emphasizing predominantly social aspects. As the familiar box-like devices are replaced by hidden functions embedded in the surroundings, the classical meaning and implication of security and trust needs to be revisited in the context of ambient intelligence. In this chapter, we briefly revisit the foundations of the AmI vision by addressing the role of AmIware, which refers to the basic and enabling AmI technologies, and by presenting some basic definitions of ambient intelligence. Next we discuss the meaning and role of persuasion on the basis of models and theories for motivation originating from cognitive science. Notions such as compliance and ambient journaling are used to develop an understanding of the concept of ambient persuasion. We also address the ethics of ambient intelligence from the point of view of a number of critical factors such as trust and faith, crossing boundaries, and changing realities. The chapter concludes with a summary of findings and some final remarks. IntroductionRecent technological advances have enabled the miniaturization of embedded hardware thus facilitating the large-scale integration of electronic devices into peoples' backgrounds. In addition, novel interaction concepts have been developed that support the natural and intelligent use of such systems, emphasizing the social aspects of the technology embedding. The resulting computing paradigm, which is called ambient intelligence (AmI), provides users with new means to increase their productivity, increase their well-being, or enhance their expressiveness [1].

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Tools for Studying Behavior and Technology in Natural Settings

Cited by 86 publications

References 16 publications

An Integrated Patient-Centric Approach for Situated Research on Total Hip Replacement: ESTHER

An Integrated Patient-Centric Approach for Situated Research on Total Hip Replacement: ESTHER

Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications

The Persuasiveness of Ambient Intelligence

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