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Participatory Icons Specification for Expressing Intentions in Computer-Mediated Communications

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Abstract

Web-mediated conversations require treating intentions more explicitly. Literature lacks adequate design methods and interactive mechanisms to support users in the sharing of intentions. This research assumes that icons representing emotions play a central role as means for aiding users to convey intentions in communication tasks. This article proposes a method to specify emoticons for representing the users’ intentions, named “intenticons”. The work explores Speech Act Theory and Semiotics in a conceptual framework to structure classes of intentions. We conduct participatory activities to experiment the method with 40 users. The obtained intenticons were evaluated with a different set of users to reveal their effectiveness. The obtained results suggest the feasibility of the method to select and enhance emoticons for intention expression. Evaluations point out that most of the achieved intenticons indicate an acceptable degree of representativeness for the intention classes.

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Acknowledgment

We thank the São Paulo Research Foundation (FAPESP) (Grant #2014/14890-0) and National Counsel of Technological and Scientific Development (CNPq) (Grant #308618/2014-9). We also thank colleagues from the InterHAD research group for the insightful discussions. The opinions expressed in this work do not necessarily reflect those of the funding agencies.

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Correspondence to Julio Cesar Dos Reis .

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Appendix A – Analysis Result of Icon Frequency

Appendix A – Analysis Result of Icon Frequency

See Tables A.1 and A.2.

Table A.1. Quantitative analysis of Proposal, Inducement, Forecast and Wish.
Table A.2. Quantitative analysis of Palinode, Contrition, Assertion and Valuation.

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Dos Reis, J.C., Jensen, C.J., Bonacin, R., Hornung, H., Calani Baranauskas, M.C. (2017). Participatory Icons Specification for Expressing Intentions in Computer-Mediated Communications. In: Hammoudi, S., Maciaszek, L., Missikoff, M., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2016. Lecture Notes in Business Information Processing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-62386-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-62386-3_19

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  • Print ISBN: 978-3-319-62385-6

  • Online ISBN: 978-3-319-62386-3

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