Browsing by Author "Lee, Hao-Ping"

Now showing 1 - 7 of 7

Connecting IM Pattern and Selective Perceived Responsiveness to Relationship: A Cluster-Based Approach
(2019-01-01)
Lee, Hao-Ping
;
Chen, Kuan-Yin
;
Lin, Chih-Heng
;
Chang, Yung-Ju
;
交大名義發表
As people utilize instant messaging (IM) to communicate with people of various relationships, they pay different amounts of attention to and have different communication practices with them of different relationships. However, we haven't seen a close investigation of how users' IM communication patterns relate to different groups of IM contacts. We collected IM logs of 547 sender-recipient pairs from 33 smartphone users over the course of 4 weeks, and used k-mean clustering to identify 6 clusters of these users' IM communication patterns. We illustrate the characteristics of the IM patterns of these distinct clusters as well as how the patterns relate to the relationship between the senders and the recipients within these clusters respectively.
Connecting IM Pattern and Selective Perceived Responsiveness to Relationship: A Cluster-Based Approach
(2019-01-01)
Lee, Hao-Ping
;
Chen, Kuan-Yin
;
Lin, Chih-Heng
;
Chang, Yung-Ju
;
交大名義發表
As people utilize instant messaging (IM) to communicate with people of various relationships, they pay different amounts of attention to and have different communication practices with them of different relationships. However, we haven't seen a close investigation of how users' IM communication patterns relate to different groups of IM contacts. We collected IM logs of 547 sender-recipient pairs from 33 smartphone users over the course of 4 weeks, and used k-mean clustering to identify 6 clusters of these users' IM communication patterns. We illustrate the characteristics of the IM patterns of these distinct clusters as well as how the patterns relate to the relationship between the senders and the recipients within these clusters respectively.
Does Who Matter? Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages
(2019-01-01)
Lee, Hao-Ping
;
Chen, Kuan-Yin
;
Lin, Chih-Heng
;
Chen, Chia-Yu
;
Chung, Yu-Lin
This study examines the characteristics of mobile instant-messaging users' relationships with their social contacts and the effects of both relationship and interruption context on four measures of receptivity: Attentiveness, Responsiveness, Interruptibility, and Opportuneness. Overall, interruption context overshadows relationship characteristics as predictors of all four of these facets of receptivity; this overshadowing was most acute for Interruptibility and Opportuneness, but existed for all factors. In addition, while Mobile Maintenance Expectation and Activity Engagement were negatively correlated with all receptivity measures, each such measure had its own set of predictors, highlighting the conceptual differences among the measures. Finally, delving more deeply into potential relationship effects, we found that a single, simple closeness question was as effective at predicting receptivity as the 12-item Unidimensional Relationship Closeness Scale.
Predicting Smartphone Users' General Responsiveness to IM Contacts Based on IM Behavior
(2019-01-01)
Lee, Hao-Ping
;
Chung, Yu-Lin
;
Dingier, Tilman
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Chen, Chia-Yu
;
Lin, Chih-Heng
History of conversations through instant messaging (IM) contains abundant information about the communication patterns of the dyad, including conversation partners' mutual responsiveness to messages. We have, however, not seen many examinations of using such information in modeling mobile users' responsiveness in IM communication. In this paper, we present an in-the-wild study, in which we leverage participants' IM messaging logs to build models predicting their general responsiveness. Our models based on data from 33 IM user achieved an accuracy of up to 71% (AUROC). In particular, we show that 90-day IM-communication patterns, in general, outperformed their 14-day equivalent in our prediction models, indicating better coherence between long-term IM patterns with their general communication experience.
Ubiquitous Smart Eyewear Interactions using Implicit Sensing and Unobtrusive Information Output
(2019-01-01)
Zhou, Qiushi
;
Newn, Joshua
;
Tag, Benjamin
;
Lee, Hao-Ping
;
Wang, Chaofan
Premature technology, privacy, intrusiveness, power consumption, and user habits are all factors potentially contributing to the lack of social acceptance of smart glasses. After investigating the recent development of commercial smart eyewear and its related research, we propose a design space for ubiquitous smart eyewear interactions while maximising interactivity with minimal obtrusiveness. We focus on implicit and explicit interactions enabled by the combination of miniature sensor technology, low-resolution display and simplistic interaction modalities. Additionally, we are presenting example applications outlining future development directions. Finally, we aim at raising the awareness of designing for ubiquitous eyewear with implicit sensing and unobtrusive information output abilities.
Ubiquitous Smart Eyewear Interactions using Implicit Sensing and Unobtrusive Information Output
(2019-01-01)
Zhou, Qiushi
;
Newn, Joshua
;
Tag, Benjamin
;
Lee, Hao-Ping
;
Wang, Chaofan
Premature technology, privacy, intrusiveness, power consumption, and user habits are all factors potentially contributing to the lack of social acceptance of smart glasses. After investigating the recent development of commercial smart eyewear and its related research, we propose a design space for ubiquitous smart eyewear interactions while maximising interactivity with minimal obtrusiveness. We focus on implicit and explicit interactions enabled by the combination of miniature sensor technology, low-resolution display and simplistic interaction modalities. Additionally, we are presenting example applications outlining future development directions. Finally, we aim at raising the awareness of designing for ubiquitous eyewear with implicit sensing and unobtrusive information output abilities.
Who Matters: A Closer Look at Interpersonal Relationship in Mobile Interruptibility
(2017-01-01)
Chen, Kuan-Yin
;
Lee, Hao-Ping
;
Lin, Chih-Heng
;
Chang, Yung-Ju
;
交大名義發表
Interruptibility research is growing in computer mediated communication (CMC). While much CMC research concerns "interpersonal" communication, we have not seen a close examination of the impact of who in mobile interruptibility research. In this paper, we propose a study more closely investigating the interplay between interpersonal relationship characteristics with contextual factors and their impact on users' receptivity to communication.