Social Interaction Patterns during Mobile Information Seeking

Tan, Esther Meng-Yoke; Goh, Dion Hoe‐Lian; Theng, Yin Leng; Foo, Schubert

doi:10.1007/978-3-642-34752-8_14

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…Tan et al's diary study of 24 tourists [182] is more oriented towards Mobile IR, although it has a general information seeking approach and it is specific to the tourism domain. It is found that social interactions, communications towards both acquaintances and strangers is required and takes place.…”

Section: User Studies Surveys Interviews and Diary Studiesmentioning

confidence: 99%

From IR to Mobile IR

Crestani

Mizzaro

Scagnetto

2017

Mobile Information Retrieval

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https://adwords.googleblog.com/2015/05/building-for-next-moment. html * The use of the word "mainly" here indicates that the boundary between the two areas is becoming fuzzy, with some IR systems working in a more deterministic way and DB systems working in a more probabilistic or "uncertainty conscious" fashion. * The semantic meaning of different words is inferred using a deep learning technique named word2vec, https://code.google.com/p/word2vec/.† https://code.google.com/p/androguard/ * trec.nist.gov † research.nii.ac.jp/ntcir/index-en.html ‡ https://sites.google.com/site/treccontext/

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Section: User Studies Surveys Interviews and Diary Studiesmentioning

confidence: 99%

From IR to Mobile IR

Crestani

Mizzaro

Scagnetto

2017

Mobile Information Retrieval

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“…These studies point to the fact that most social information interactions occur amongst people who are already engaged in a social activity (with the exception of Tan et al's (2012) the mobile tourism study), and that mobile IB evolves out of social situations. However, these findings must be considered in terms of their methodological design and the behaviors being investigated.…”

Section: The Social Nature Of Mobile Information Behaviormentioning

confidence: 99%

“…Mobile IB is sparked by random conversations among tightly‐knit groups, motivated by curiosity or the desire to assist others, and focused on information fact finding, such as answering a trivia question or locating an address (Church, Cousin & Oliver, ; Amini et al (). Tan, Goh, Theng and Foo () looked specifically at mobile tourism. They found differences based on whom users sought information from depending on their stage in the search process.…”

Section: Related Literaturementioning

confidence: 99%

“…Yet, this group of studies tends to be highly domain‐specific, as in the case of the mobile tourism study. Secondly, some diary studies have asked participants to specifically log only social or co‐located search activities (Church et al ; Tan et al, ; Reis & Church, ), which may lead to a priming effect, where participants alter their search behavior to include more of the activities of interest to the researchers. These caveats raise the question of how we should capture the social aspects of mobile information interaction, and identify a need to contrast social and non‐social behaviors in the mobile realm.…”

Section: Related Literaturementioning

confidence: 99%

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Exploring social context in mobile information behavior

Absar

O’Brien

Webster

2014

Proc of Assoc for Info

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This paper reports on the social context of mobile information behavior based on an interview and diary study (n=19). We examine different types of mobile information behavior and how these are affected by social variables. In addition, we compare social and non-social mobile information behavior in terms of where it occurs, applications utilized, expressed information needs of users, and levels of satisfaction. We promote a broader view of how social context shapes and is shaped by mobile information behavior.

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Presenting social media information on mobile devices using multiple contexts

Tan

Goh

2015

Aslib Journal of Information Management

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Purpose – Research has shown that when presenting large amounts of social media information on small devices, design should consider multiple contexts which include user preferences, time, location, environment and so on. It should also take into account the purpose of use, for example, the kind of tasks undertaken by users. However, little research has been done on the organization of social media information by multiple context and tasks. The paper aims to discuss these issues. Design/methodology/approach – Using tourism as a domain, the authors conducted a user evaluation study with a prototype to investigate users’ preferred ways of organizing different types of social media information based on multiple contexts. Findings – In this paper, the authors present a sequence of context types for organizing four types of social media information (recommendations, events, friends and media elements). The study revealed that users preferred to view recommendations by location and environment context, events by location and temporal context, contacts by location and identity context and finally, list of media elements by environment and identity context. Research limitations/implications – There may be different sequences of context types for organizing social media information in domains other than tourism. Researchers are encouraged to analyze users’ needs in other domains so as to find their preferred ways of organizing social media information. Practical implications – This paper includes implications for the design and development of user interface, in particular, for mobile applications presenting large amount of social media information. Originality/value – It presents a new way of organizing social media information using multiple context types and with consideration of users’ needs.

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Social Interaction Patterns during Mobile Information Seeking

Cited by 3 publications

References 15 publications

From IR to Mobile IR

From IR to Mobile IR

Exploring social context in mobile information behavior

Presenting social media information on mobile devices using multiple contexts

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