Field study of a waiting-time filler delivery system

Niida, Sumaru; Uemura, Shunsuke; Nakamura, Hajime; Harada, Etsuko T.

doi:10.1145/2037373.2037401

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Based on evidence that occupied time feels shorter than unoccupied time, and finite waits feel shorter than uncertain waits [Maister 1984], a large number of approaches have been used to help improve the waiting experience. These range from filling wait time with music [Hul et al 1997], content [Alt et al 2012;Katz et al 1991;Niida et al 2011], and wait time estimates [Katz et al 1991], to redesigning progress bars that alter the perception of time [Harrison et al 2007].…”

Section: Multitasking and Motivationmentioning

confidence: 99%

WaitSuite

Cai

Ren

Miller

2017

ACM Trans. Comput.-Hum. Interact.

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The busyness of daily life makes it difficult to find time for informal learning. Yet, learning requires significant time and effort, with repeated exposures to educational content on a recurring basis. Despite the struggle to find time, there are numerous moments in a day that are typically wasted due to waiting, such as while waiting for the elevator to arrive, wifi to connect, or an instant message to arrive. We introduce the concept of wait-learning: automatically detecting wait time and inviting people to learn while waiting. Our approach is to design seamless interactions that augment existing wait time with productive opportunities. Combining wait time with productive work opens up a new class of software systems that overcome the problem of limited time.In this paper, we establish a design space for wait-learning and explore this design space by creating WaitSuite, a suite of five different wait-learning apps that each uses a different kind of waiting. For one of these apps, we conducted a feasibility study to evaluate learning and to understand how exercises should be timed during waiting periods. Subsequently, we evaluated multiple kinds of wait-learning in a two-week field study of WaitSuite with 25 people. We present design implications for wait-learning, and a theoretical framework that describes how wait time, ease of accessing the learning task, and competing demands impact the effectiveness of wait-learning in different waiting scenarios. These findings provide insight into how wait-learning can be designed to minimize interruption to ongoing tasks and maximize engagement with learning.

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Section: Multitasking and Motivationmentioning

confidence: 99%

WaitSuite

Cai

Ren

Miller

2017

ACM Trans. Comput.-Hum. Interact.

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“…Speech vs. non-speech cues: Rafeli et al explore the psychological aspects of different time fillers and their effect on the cognitive processes of the waiting caller by comparing delay announcements as a filler with two other time fillers -music and apology message [29]. Niida et al measure the effectiveness of different time fillers on a visual display [33].…”

Section: Auditory Progress Barmentioning

confidence: 99%

Survival Analysis

Asthana

Singh

Gupta

2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Waiting for the completion of a system process is an everyday experience. While waiting, a system provides feedback to the user about ongoing processes through temporal metaphors (Progress bar, Busy icons, etc.). One of the key performance requirements for temporal metaphors is to retain the user till the process completes. Researchers have evaluated these metaphors through subjective means, and objective assessment has not been well explored. In this paper, we present survival analysis as an objective assessment method to evaluate temporal metaphors. Through a field experiment, we demonstrate the application of survival analysis and empirically establish that auditory progress bar (a temporal metaphor for audio interfaces) works for callers of a distress helpline. To the best of our knowledge, it is the first study on distress callers. The paper further discusses the applicability of survival analysis for evaluating temporal metaphors and wait time experiments for other applications, tasks, and settings.

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“…The authors have proposed a time-filler delivery system [25]. There are many kinds of time-filler in ICT terminals.…”

Section: Service Design For Time-fillermentioning

confidence: 99%

Design Requirements for Improving QoE of Web Service Using Time-Fillers

Niida

Uemura

Harada

2013

IEICE Trans. Commun.

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As mobile multimedia services expand, user behavior will become more diverse and the control of service quality from the user's perspective will become more important in service design. The quality of the network is one of the critical factors determining mobile service quality. However, this has mainly been evaluated in objective physical terms, such as delay reduction and bandwidth expansion. It is less common to use a human-centered design viewpoint when improving network performance. In this paper, we discuss ways to improve the quality of web services using time-fillers that actively address the human factors to improve the subjective quality of a mobile network. A field experiment was conducted, using a prototype. The results of the field experiment show that time-fillers can significantly decrease user dissatisfaction with waiting, but that this effect is strongly influenced by user preferences concerning content. Based on these results, we discuss the design requirements for effective use of time-fillers.

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Field study of a waiting-time filler delivery system

Cited by 5 publications

References 7 publications

WaitSuite

WaitSuite

Survival Analysis

Design Requirements for Improving QoE of Web Service Using Time-Fillers

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