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Party Hosts and Tour Guides 492.2 Evaluation of the Success of Helper AgentWe conducted an experiment to test the effectiveness of Helper Agent, inassisting in conversations between Japanese and American students. (For moreabout the method and results, please see Isbister, Nakanishi, Ishida, and Nass).People did engage with the agent. Most quickly grasped its purpose - acceptingthe agent as a valid participant, taking turns with it, and taking up its suggestions.3. Tour Guide Agent3.1 Designing Tour Guide AgentThe Tour Guide Agent project was part of Digital City Kyoto(http://www.digitalcity.gr.jp/). The tour was to be a point of entry to the onlineresource and to Kyoto, ideally increasing visitor interest in and use of the digitalcity. The tour was also designed to encourage dialogue and relationships amongparticipants, and to increase exposure to Kyoto’s history among friends andfamily of participants.To create the agent’s behavior, we observed tour guides, and read professionalmanuals on tour guide strategy (Pond). Strategies for storytelling thatwe imitated:1. Stories were told about particular locations while in front of them.2. Some stories included tales about previous tours.3. Stories were selected partly because they were easy and fun to retell.4. Guides adjusted timing and follow-up based on audience response.In our system, the digital tour-takers are all chatting in an online text environment,and use a simple 3-D control set to explore a virtual model of parts ofNijo Castle in Kyoto (see Figure 2). At each stop, the tour guide tells relatedstories, using gesture and expression to highlight key points.The agent tracks the quantity of conversation, and looks for positive andnegative keywords that indicate how visitors feel at the moment (negative wordssuch as "boring, dull, too long"; positive words such as "wow, cool, neat,interesting"). The agent selects stories using a very simple decision rule (seeFigure 3).To make sure the tour stops for the right duration, the agent moves to thenext stop only when a majority of tour-takers say they want to move forward.(For more about this project’s technical details, please see Isbister).3.2 Lessons LearnedThough we did not perform a formal evaluation, preliminary review of reactionsto the tour indicated that the agent’s stories were serving as a successfulspringboard for conversation, and worked nicely to supplement the visitors’experience of the virtual castle.
50 Socially Intelligent AgentsFigure 5.2.Kyoto Digital City Tour Guide AgentValence of Conversation ContentsQuantity of Talk Negative PositiveLow medium length long lengthHigh short length medium lengthFigure 5.3.Decision Rule for Agent Story Choice
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SOCIALLY INTELLIGENT AGENTSCreating
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SOCIALLY INTELLIGENT AGENTSCreating
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ContentsContributing Authors1Social
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Contents21Experiences with Sparky,
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Contributing AuthorsAude BillardCom
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Contributing AuthorsxiPeyman Farati
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Contributing AuthorsxiiiBernard Ogd
Page 16: Contributing AuthorsxvNell TenhaafD
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Page 42 and 43: Understanding Social Intelligence 2
Page 44 and 45: Understanding Social Intelligence 2
Page 46 and 47: Chapter 3MODELING SOCIAL RELATIONSH
Page 48 and 49: Modeling Social Relationship 31soci
Page 50 and 51: Modeling Social Relationship 33Figu
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Page 54 and 55: Chapter 4DEVELOPING AGENTS WHO CANR
Page 56 and 57: Developing Agents Who Can Relate to
Page 62 and 63: Chapter 5PARTY HOSTS AND TOUR GUIDE
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Page 70 and 71: Chapter 6INCREASING SIA ARCHITECTUR
Page 72 and 73: Adapting to Affect and Personality
Page 78 and 79: Chapter 7COOPERATIVE INTERFACE AGEN
Page 80 and 81: Cooperative Interface Agents 63cult
Page 82 and 83: Cooperative Interface Agents 65will
Page 84 and 85: Cooperative Interface Agents 67make
Page 86 and 87: Chapter 8PLAYING THE EMOTION GAME W
Page 88 and 89: Playing the Emotion Game with Feeli
Page 94 and 95: Chapter 9CREATING EMOTION RECOGNITI
Page 96 and 97: Emotion Recognition Agents for Spee
Page 102 and 103: Chapter 10SOCIAL INTELLIGENCE FOR C
Page 104 and 105: Social Intelligence for Computers 8
Page 110 and 111: Chapter 11EGOCHAT AGENTA Talking Vi
Page 112 and 113: EgoChat Agent 95that members in a g
Page 114 and 115: EgoChat Agent 97virtualized-ego(A)v
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EgoChat Agent 99apply EgoChat to a
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Chapter 12ELECTRIC ELVESAdjustable
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Electric Elves 103user in the agent
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Electric Elves 105The delay MDP rea
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Electric Elves 107intervening, lead
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Chapter 13BUILDING EMPIRICALLY PLAU
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Building Empirically Plausible MAS
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Chapter 14ROBOTIC PLAYMATESAnalysin
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Analysing Interactive Competencies
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Chapter 15MOBILE ROBOTIC TOYS AND A
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Mobile Robotic Toys and Autism 127m
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Mobile Robotic Toys and Autism 129F
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Mobile Robotic Toys and Autism 131p
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Chapter 16AFFECTIVE SOCIAL QUESTEmo
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Affective Social Quest 135Figure 16
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Affective Social Quest 137tion is t
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Affective Social Quest 139parents w
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Chapter 17PEDAGOGICAL SOAPSocially
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Pedagogical Soap 1432. IPD Backgrou
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Pedagogical Soap 145EmotionalApprai
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Pedagogical Soap 147trol their chil
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Chapter 18DESIGNING SOCIABLE MACHIN
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Designing Sociable Machines 151Sens
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Designing Sociable Machines 153crit
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Designing Sociable Machines 155qual
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Chapter 19INFANOIDA Babybot that Ex
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Infanoid 159— are arranged in a 4
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Infanoid 161subset of the environme
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Infanoid 163To explain the origin o
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Chapter 20PLAY, DREAMS AND IMITATIO
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Play, Dreams and Imitation in Robot
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Chapter 21EXPERIENCES WITH SPARKY,
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Experiences with Sparky, a Social R
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Chapter 22SOCIALLY SITUATED PLANNIN
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Socially Situated Planning 183will
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Socially Situated Planning 185chang
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Socially Situated Planning 187of pl
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Chapter 23DESIGNING FOR INTERACTION
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Designing for Interaction 191force
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Designing for Interaction 193ment b
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Designing for Interaction 195ductio
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Chapter 24ME, MY CHARACTER AND THE
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Me, My Character and the Others 199
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Chapter 25FROM PETS TO STORYROOMSCo
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From PETS to StoryRooms 2074. A Sto
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From PETS to StoryRooms 209realized
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From PETS to StoryRooms 211own Stor
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Chapter 26SOCIALLY INTELLIGENT AGEN
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Socially Intelligent Agents in Educ
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Chapter 27TOWARDS INTEGRATING PLOT
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Towards Integrating Plot and Charac
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Chapter 28THE COOPERATIVE CONTRACTI
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The Cooperative Contract 231relies
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The Cooperative Contract 233To supp
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Chapter 29PERCEPTIONS OF SELF IN AR
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Perceptions of Self 237semination o
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Perceptions of Self 239Figure 29.1.
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Perceptions of Self 241human senses
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Chapter 30MULTI-AGENT CONTRACT NEGO
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Multi-Agent Contract Negotiation 24
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Chapter 31CHALLENGES IN AGENT BASED
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Challenges in ABSS of Negotiation 2
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Chapter 32ENABLING OPEN AGENT INSTI
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Enabling Open Agent Institutions 26
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Chapter 33EMBODIED CONVERSATIONAL A
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ECA’s In E-Commerce Applications
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Index"like-me" test 85,89“Giant3
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INDEX 277educational computer games
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INDEX 279mutual selection 243mutual
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INDEX 281theory of dramatic writing
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