Search (3 results, page 1 of 1)

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Abstract

While it is clear that using a mobile device can interrupt real-world activities such as walking or driving, the effects of interruptions on mobile device use have been under-studied. We are particularly interested in how the ambient distraction of walking while using a mobile device, combined with the occurrence of simulated interruptions of different levels of cognitive complexity, affect web search activities. We have established an experimental design to study how the degree of cognitive complexity of simulated interruptions influences both objective and subjective search task performance. In a controlled laboratory study (n = 27), quantitative and qualitative data were collected on mobile search performance, perceptions of the interruptions, and how participants reacted to the interruptions, using a custom mobile eye-tracking app, a questionnaire, and observations. As expected, more cognitively complex interruptions resulted in increased overall task completion times and higher perceived impacts. Interestingly, the effect on the resumption lag or the actual search performance was not significant, showing the resiliency of people to resume their tasks after an interruption. Implications from this study enhance our understanding of how interruptions objectively and subjectively affect search task performance, motivating the need for providing explicit mobile search support to enable recovery from interruptions.

Date

3. 5.2022 13:22:33

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Abstract

Micro-blogging services such as Twitter represent constantly evolving, user-generated sources of information. Previous studies show that users search such content regularly but are often dissatisfied with current search facilities. We argue that an enhanced understanding of the motivations for search would aid the design of improved search systems, better reflecting what people need. Building on previous research, we present qualitative analyses of two sources of data regarding how and why people search Twitter. The first, a diary study (p?=?68), provides descriptions of Twitter information needs (n?=?117) and important meta-data from active study participants. The second data set was established by collecting first-person descriptions of search behavior (n?=?388) tweeted by twitter users themselves (p?=?381) and complements the first data set by providing similar descriptions from a more plentiful source. The results of our analyses reveal numerous characteristics of Twitter search that differentiate it from more commonly studied search domains, such as web search. The findings also shed light on some of the difficulties users encounter. By highlighting examples that go beyond those previously published, this article adds to the understanding of how and why people search such content. Based on these new insights, we conclude with a discussion of possible design implications for search systems that index micro-blogging content.

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Abstract

The popular outdoor pursuit of backpacking is profoundly changing as the community embraces contemporary information technologies. However, there is little empirical evidence on the adoption and use of consumer electronics by backpackers, nor the implications this has for their habits, practices, and interactions. We investigate long-distance backpackers' articulations with mobile information technology during the TGO Challenge, a coast-to-coast crossing of the Scottish Highlands. By employing mixed methods, we explore how and why backpackers use such technology when planning and undertaking their journeys via a survey (n = 116), pre- and post-challenge interviews with selected TGO participants, and daily in-field video-logs. Our results suggest many advantages to using technology in this context, including fluidity of communications and access, while noting that reliance on technology is leading to issues such as increased need for battery power management, and deskilling. The findings highlight implications for the juxtaposition between outdoor recreation, information behavior, and human computer interaction (HCI) and suggest future work in this area.