Co-creativity and perceptions of computational agents in co-creativity

How are computers typically perceived in co-creativity scenarios? And how does this affect how we evaluate computational creativity research systems that use cocreativity? Recent research within computational creativity considers how to attribute creativity to computational agents within co-creative scenarios. Human evaluation forms a key part of such attribution or evaluation of creative contribution. The use of human opinion to evaluate computational creativity, however, runs the risk of being distorted by conscious or subconscious bias. The case study in this paper shows people are significantly less confident at evaluating the creativity of a whole co-creative system involving computational and human participants, compared to the (already tricky) task of evaluating individual creative agents in isolation. To progress co-creativity research, we should combine the use of co-creative computational models with the findings of computational creativity evaluation research into what contributes to software creativity

Poetry at the first steps of Artificial Intelligence

This paper is about Artificial Intelligence (AI) attempts at writing poetry, usually referred to with the term “poetry generation”. Poetry generation started out from Digital Humanities, which developed out of humanities computing; nowadays, however, it is part of Computational Creativity, a field that tackles several areas of art and science. In the paper it is examined, first, why poetry was chosen among other literary genres as a field for experimentation. Mention is made to the characteristics of poetry (namely arbitrariness and absurdity) that make it fertile ground for such endeavors and also to various text- and reader-centered literary approaches that favored experimentation even by human poets. Then, a rough historic look at poetry generation is attempted, followed by a review of the methods employed, either for fun or as academic projects, along Lamb et al.’s (2017) taxonomy which distinguishes between mere poetry generation and result enhancement. Another taxonomy by Gonçalo Oliveira (2017), dividing between form and content issues in poetry generation, is also briefly presented. The results of poetry generators are evaluated as generally poor and the reasons for this failure are examined: inability of computers to understand any word as a sign with a signified, lack of general intelligence, process- (rather than output-) driven attempts, etc. Then, computer-like results from a number of human poetic movements are also presented as a juxtaposition: DADA, stream of consciousness, OuLiPo, LangPo, Flarf, blackout/erasure poetry. The equivalence between (i) human poets that are concerned more with experimentation more than with good results and (ii) computer scientists who are process-driven leads to a discussion of the characteristics of humanness, of the possibility of granting future AI personhood and of the need to see our world in terms of a new, more refined ontology

UNI Media Guide 2017-18 (Wrestling)

Contents: --2017-18 Schedule--Quick Facts--UNI Athletics Commuications--Big 12 Conference--Coaches--2017-18 Preseason Rankings--2017-18 Dual Opponents--2017-18 Roster/UNI Career Stats--Wrestlers--2016-17 Stats--History--Covering the Panthershttps://scholarworks.uni.edu/amg/1335/thumbnail.jp

Identifying Engagement in Children's Interaction whilst Composing Digital Music at Home

Identifying points of engagement from a person’s interaction with computers could be used to assess their experience and to adapt user interfaces in real-time. However, it is difficult to identify points of engagement unobtrusively; HCI studies typically use retrospective protocols or rely on cumbersome sensors for real-time analysis. We present a case study on how children compose digital music at home in which we remotely identify points of engagement from patterns of interaction with a musical interface. A mixed-methods approach is contributed in which video recordings of children’s interactions whilst composing are labelled for engagement and linked to i) interaction logs from the interface to identify indicators of engagement in interaction, and ii) interview data gathered using a remote video-cued recall technique to understand the experiential qualities of engaging interactions directly from users. We conclude by speculating on how the suggested indicators of engagement inform the design of adaptive music systems

The Politics of Christian Religious Movements in the United States

This dissertation is an exploration of the religious movements within Christianity in the United States. After discussing the common strategies used in the social science literature to classify religious belonging, I develop an alternative method that leverages associational ties between religious groups and people who are not active despite their identity. I develop theory-driven classifications for people whose religious identity cannot be determined solely on their identification. The remainder of the dissertation tests whether religious movements correspond to differences in the social and political behavior of those in these religious categories. I find significant differences on demographics, religious beliefs and behaviors, and political partisanship. Significant differences are also found when the analysis is narrowed down to a specific electoral context, the election of Donald Trump in 2016. Throughout the dissertation I will compare the explanatory power of my new scheme, RELMOVE, to existing classification schemes like RELTRAD. The dissertation concludes with some final thoughts for future researchers on the usefulness of the scheme moving forward

UNI Wrestling 2016-17 Media Guide

Contents: --2016-17 Schedule--UNI Panthers--Panthers & the Mac--Head Coach Doug Schwab - 7th Season--6 All-Americans--28 NCAA Qualifiers--Coaches--2016-17 Dual Opponents--2016-17 Roster / UNI Career Stats--2016-17 Roster Profiles--2015-16 Stats--UNI Dual Results 2015-16--Tournament Results 2015-16--UNI at 2016 NCAA Division I Wrestling Championships--Career and Season Leaders of Panther Wrestling--Year-by-Year Resultshttps://scholarworks.uni.edu/amg/1392/thumbnail.jp

2003 UNI Panther Football

Contents: --2003 UNI Football Schedule --2--Covering the Panthers --3-8--This is UNI --10-18--Previewing 2003 --20-30--UNI Staff --32-42--UNI Players --44-58--The Opponents --60-66--2002 Review --68-82--The History --84-122https://scholarworks.uni.edu/amg/1294/thumbnail.jp

2002 University of Northern Iowa Football

Contents: Covering the Panthers--Quick Facts --2--Media Information --3--Travel Schedule --3--Media Outlets --4--Gateway Football Conference •• 5--Gateway Composite Schedule --6Experience UNI--Cedar Falls --8--UNI --9--Traditions --10--The UNI-Dome --11-12--Facilities --12-13--Strength Program --14--Sports Medicine --15--Academics --16Previewing 2002--Personnel Analysis --18--Depth Chart --19--Rosters --20-21--Outlook --22-25--Notes --26-27The Staff--Mark Farley, Head Coach --32--Bill Salmon, Assoc. Head Coach --33--Rob Bolks, Def. Coordinator --34--Todd Eagen, Def. Line --35--Bill Inge, Linebackers --36--Ron Landphair, Secondary --36-37--Jack Mitchel, Tight Ends --37--Rick Nelson, off. Line --38--Mario Verduzco, Quarterbacks --39--Support Staff --40--Administration --41The Players--Player Biographies --44-52The Opponents--Wayne State --60--Oklahoma State --60--Stephen F. Austin --61--Cal Poly --61--Western Kentucky --62--Southern Illinois --62--Youngstown State --63--Illinois State --63--Indiana State --64--Western Illinois --64--Southwest Missouri State --65--Scores vs. 2002 Opponents --65--Series Records vs. 2002 Opponents --66-68--All-Time Opponent Records --69--1-AA Playoff History --70Reviewing 2001--Results, Statistics --72-75--Game-by-Game Statistics --76-77--Final Polls --77--Gateway Football Statistics --78-81--Gateway Honors --82--2001 Recaps --83-87--The Last Time it Happened --87--Homecoming Results --88The Program--Gateway Openers History --88--Individual Records --90--Team Records --91--Scoring Records --91--Attendance Records --91--Playoff Records --92--Annual Leaders --93-98--Annual Yardage --99--1-AA Annual Leaders --100-101--Miscellaneous Records/Awards --102--Academic All-Conference --103--All-Time All-Conference --104-105--Captains --106--Hall of Fame Inductees --106--All-Americans --107--In the Pros --108-109--Playoff Appearances --110-112--1-AA National Polls --113-114--Season Openers --114--All-Time Lettermen --115-116--Coaching History --117--Year-by-Year Results --118-122https://scholarworks.uni.edu/amg/1285/thumbnail.jp

2004 University of Northern Iowa Football

Contents: Contents --3Media Information --3The University --10The Outlook --22-23The Staff --36-38The Players --48-62The Opponents --662003 Review --74The Program --93https://scholarworks.uni.edu/amg/1310/thumbnail.jp