Understanding practices and needs of researchers in human state modeling by passive mobile sensing

Understanding practices and needs of researchers in human state modeling by passive mobile sensing
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DOI:
10.1007/s42486-021-00072-4
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发表时间:
2021-07-06
影响因子:
2.1
通讯作者:
Dey AK
Dey AK
中科院分区:
其他
文献类型:
--
作者:
Xu X;Mankoff J;Dey AK

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以人体状态建模为目的的被动移动感知是一个快速发展的领域。它已被广泛应用于解决与行为相关的问题,包括身心健康监测、情感计算、活动识别、常规建模等。然而,尽管新兴文献研究了广泛的应用场景,但很少有人关注研究人员从中吸取的教训,以及对研究人员使用这种方法的指导。研究人员如何进行这些类型的研究?在跨不同应用领域应用移动感知时,是否有既定的通用做法?他们经常遇到的痛点和需求是什么?回答这些问题是泛在计算这个不断发展的子领域走向成熟的重要一步,可以让广泛的受众受益。它可以帮助教育那些在这一领域有越来越大的兴趣,但以前几乎没有经验的研究人员。中级研究人员也可能会发现研究结果很有趣,有助于提高他们的技能。此外,它还可以进一步阐明未来工具包的设计准则,以促进正在使用的研究过程。在本文中,我们通过对来自四个国家的十名经验丰富的研究人员进行半结构化访谈来填补这一空白,并回答这些问题,以了解他们在进行研究时的做法和痛点。我们的结果揭示了研究人员已经采用的共同渠道,并确定了研究人员经常遇到的、但没有出现在已发表的工作中的主要挑战。根据访谈的结果,我们讨论了对新手研究人员的实用建议,以及加速被动移动感知研究的工具包的高层设计原则。
Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It has been applied to solve a wide range of behavior-related problems, including physical and mental health monitoring, affective computing, activity recognition, routine modeling, etc. However, in spite of the emerging literature that has investigated a wide range of application scenarios, there is little work focusing on the lessons learned by researchers, and on guidance for researchers to this approach. How do researchers conduct these types of research studies? Is there any established common practice when applying mobile sensing across different application areas? What are the pain points and needs that they frequently encounter? Answering these questions is an important step in the maturing of this growing sub-field of ubiquitous computing, and can benefit a wide range of audiences. It can serve to educate researchers who have growing interests in this area but have little to no previous experience. Intermediate researchers may also find the results interesting and helpful for reference to improve their skills. Moreover, it can further shed light on the design guidelines for a future toolkit that could facilitate research processes being used. In this paper, we fill this gap and answer these questions by conducting semi-structured interviews with ten experienced researchers from four countries to understand their practices and pain points when conducting their research. Our results reveal a common pipeline that researchers have adopted, and identify major challenges that do not appear in published work but that researchers often encounter. Based on the results of our interviews, we discuss practical suggestions for novice researchers and high-level design principles for a toolkit that can accelerate passive mobile sensing research.
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